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Content provider: Intersect Australia  or Australian BioCommons 

  • Longitudinal Trials with REDCap at UNE Online

    10 September 2024

    Longitudinal Trials with REDCap at UNE Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-une-online-99f8eaa5-18b0-42e8-b2f2-79f64de31d2b REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. With powerful features such as organising data collection instruments into predefined events, you can shepherd your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap. #### You'll learn: Build a longitudinal project Manage participants throughout multiple events Configure and use Automated Survey Invitations Use Smart Variables to add powerful features to your logic Take advantage of high-granularity permissions for your collaborators Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our \Data Capture and Surveys with REDCap\ workshop. For more information, please click [here](https://intersect.org.au/training/course/redcap201). 2024-09-10 09:30:00 UTC 2024-09-10 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at La Trobe Online

    10 - 11 September 2024

    Learn to Program: R at La Trobe Online https://dresa.org.au/events/learn-to-program-r-at-la-trobe-online-ec19fb0d-668a-40fa-9c15-cb164f3529e6 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-09-10 10:00:00 UTC 2024-09-11 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at LTU Online

    10 - 11 September 2024

    Learn to Program: R at LTU Online https://dresa.org.au/events/learn-to-program-r-at-ltu-online-27d1ec5f-3b33-4fd1-966a-a914d3251390 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the RStudio interface for programming Basic syntax and data types in R How to load external data into R Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found \here\. For more information, please click [here](https://intersect.org.au/training/course/r101). 2024-09-10 10:00:00 UTC 2024-09-11 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • WORKSHOP: RNA-seq analysis: reads to differential expression

    10 - 11 September 2024

    WORKSHOP: RNA-seq analysis: reads to differential expression https://dresa.org.au/events/workshop-rna-seq-analysis-reads-to-differential-expression RNA-Seq is a popular method for measuring differential gene expression. This hands-on workshop introduces the concepts of RNA-Seq analysis, from data preparation through to statistical testing for differential gene expression. You’ll learn how to use popular tools and workflows to analyse the data, produce graphical summaries and identify differentially expressed genes. The workshop will focus on the use of[ Galaxy](https://usegalaxy.org.au/), a web-based platform for accessible, reproducible, and transparent computational biological research. Widely used by researchers world wide, Galaxy gives you access to 1000’s of popular tools for analysis and processing of biological data. Galaxy Australia is a fully subsidised service provided by Australian BioCommons. **Learning outcomes:** By the end of the workshop you should be able to: * Perform QC evaluation and filtering on next-generation sequencing data * Use tools in Galaxy to identify differentially expressed genes from RNA-Seq data **Format:** This online workshop will take place over two four-hour sessions. You must attend both sessions in order to get the most out of the workshop. Expert trainers will introduce new topics and guide you through hands-on activities to help you put your new skills into action. **Lead Trainer:** Mike Thang, Galaxy Australia **Date/Time**: 10 & 11 September 2024, 1 - 5 pm AEST/12:30 - 4:30 pm ACST/11 am - 3 pm AWST **Who the workshop is for:** This workshop is for Australian researchers and life scientists who will use RNA-seq for differential gene expression as part of their projects. _Prerequisites_ * You must be associated with an Australian organisation for your application to be considered. * Some familiarity with Galaxy is encouraged. We recommend watching this[ brief introduction to Galaxy Australia](https://youtu.be/i8ZnK8i8zRE) and working through the[ Galaxy Basics for Everyone tutorial](https://training.galaxyproject.org/training-material/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.html) before joining the workshop. Alternatively you can join our[ introductory workshop on 21 August](https://www.biocommons.org.au/events/galaxy-intro-2024). **How to apply:** This workshop is free but participation is subject to application with selection. Applications close at **11:59pm AEST, 27 August 2024**. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our[ Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) **[Apply here](https://www.eventbrite.com.au/e/workshop-rna-seq-analysis-reads-to-differential-expression-tickets-954517687097)** _This workshop is presented by the[ Australian BioCommons](https://www.biocommons.org.au/) and[ QCIF](https://www.qcif.edu.au/) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter._ 2024-09-10 13:00:00 UTC 2024-09-11 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] expression_of_interest RNASeqTranscriptomicsGalaxy AustraliaGene expression

  • Introduction to Machine Learning using Python: Introduction & Linear Regression at UOA Online

    10 - 11 September 2024

    Introduction to Machine Learning using Python: Introduction & Linear Regression at UOA Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-uoa-online-f7c6dc29-89e9-4801-9e51-3f03b5e8acbd Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: Understand the difference between supervised and unsupervised Machine Learning. Understand the fundamentals of Machine Learning. Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either \Learn to Program: Python\ and \Data Manipulation in Python\ or \Learn to Program: Python\ and \Data Manipulation and Visualisation in Python\ needed to attend this course.  If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python205). 2024-09-10 13:30:00 UTC 2024-09-11 16:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at LTU Online

    11 September 2024

    Data Capture and Surveys with REDCap at LTU Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-8b174e4c-17d4-4dae-ba4e-02e52cead8d5 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: Get started with REDCap Create and set up projects Design forms and surveys using the online designer Learn how to use branching logic, piping, and calculations Enter data via forms and distribute surveys Create, view and export data reports Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/redcap101). 2024-09-11 10:00:00 UTC 2024-09-11 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at UC Online

    12 September 2024

    Data Capture and Surveys with REDCap at UC Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-uc-online-84697a33-cc8e-4862-9356-e80cdb037771 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: Get started with REDCap Create and set up projects Design forms and surveys using the online designer Learn how to use branching logic, piping, and calculations Enter data via forms and distribute surveys Create, view and export data reports Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/redcap101). 2024-09-12 09:30:00 UTC 2024-09-12 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Unix Shell and Command Line Basics at Deakin Online

    17 September 2024

    Unix Shell and Command Line Basics at Deakin Online https://dresa.org.au/events/unix-shell-and-command-line-basics-at-deakin-online-ed6b3575-5343-4ad1-aa96-c9796976203a The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line. Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run. We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you'll learn at this course are generally transferable to other Unix environments. #### You'll learn: - Navigate and work with files and directories (folders) - Use a selection of essential tools - Combine data and tools to build a processing workflow - Automate repetitive analysis using the command line #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/unix101).** 2024-09-17 09:30:00 UTC 2024-09-17 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Exploring Chi-square and correlation in R at UNE Online

    17 September 2024

    Exploring Chi-square and correlation in R at UNE Online https://dresa.org.au/events/exploring-chi-square-and-correlation-in-r-at-une-online-ba37fd4a-dc9a-4392-a9a1-6101e0a5de90 This hands-on training is designed to familiarise you with the data analysis environment of the R programming. In this session, we will traverse into the realm of inferential statistics, beginning with correlation and reliability. We will present a brief conceptual overview and the R procedures for computing reliability and correlation (Pearson’s r, Spearman’s Rho and Kendall’s tau) in real world datasets. #### You'll learn: Obtain inferential statistics and assess data normality Manipulate data and create graphs Perform Chi-Square tests (Goodness of Fit test and Test of Independence) Perform correlations on continuous and categorical data (Pearson’s r, Spearman’s Rho and Kendall’s tau) #### Prerequisites: This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts, as well as familiarity with data manipulation (dplyr) and visualisation (ggplot2 package).  Please consider attending Intersect’s following courses to get up to speed: \Learn to Program: R\, \Data Manipulation and Visualisation in R\ For more information, please click [here](https://intersect.org.au/training/course/r210). 2024-09-17 09:30:00 UTC 2024-09-17 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Unix Shell and Command Line Basics at DU Online

    17 September 2024

    Unix Shell and Command Line Basics at DU Online https://dresa.org.au/events/unix-shell-and-command-line-basics-at-du-online The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line. Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run. We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you’ll learn at this course are generally transferable to other Unix environments. #### You'll learn: Navigate and work with files and directories (folders) Use a selection of essential tools Combine data and tools to build a processing workflow Automate repetitive analysis using the command line #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/unix101). 2024-09-17 09:30:00 UTC 2024-09-17 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Machine Learning using R: Classification at UNSW Online

    17 - 18 September 2024

    Introduction to Machine Learning using R: Classification at UNSW Online https://dresa.org.au/events/introduction-to-machine-learning-using-r-classification-at-unsw-online-39a0ffe6-3317-4649-b1fc-42c4f55b96af Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages. #### You'll learn: Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use R and its relevant packages to process real datasets, train and apply Machine Learning models. #### Prerequisites: \\Either \Learn to Program: R\ and \Data Manipulation in R\ or \Learn to Program: R\ and \Data Manipulation and Visualisation in R\needed to attend this course. If you already have experience with programming, please check the topics covered in courses above and \Introduction to ML using R: Introduction & Linear Regression\ to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts, familiarity with dplyr, tidyr and ggplot2 packages, and basic understanding of Machine Learning and Model Training.\\Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\\ For more information, please click [here](https://intersect.org.au/training/course/r206). 2024-09-17 09:30:00 UTC 2024-09-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Traversing t tests in R at UNE Online

    18 September 2024

    Traversing t tests in R at UNE Online https://dresa.org.au/events/traversing-t-tests-in-r-at-une-online-ac88bc8a-37b3-4428-9142-b48e46ff891e R has become a popular programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. The primary goal of this workshop is to familiarise you with basic statistical concepts in R from reading in and manipulating data, checking assumptions, statistical tests and visualisations. This is not an advanced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R. #### You'll learn: Read in and manipulate data Check assumptions of t tests Perform one-sample t tests Perform two-sample t tests (Independent-samples, Paired-samples) Perform nonparametric t tests (One-sample Wilcoxon Signed Rank test, Independent-samples Mann-Whitney U test) #### Prerequisites: This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts. Please consider attending Intersect’s following courses to get up to speed: \Learn to Program: R\, \Data Manipulation and Visualisation in R\ For more information, please click [here](https://intersect.org.au/training/course/r211). 2024-09-18 09:30:00 UTC 2024-09-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at UC Online

    18 - 19 September 2024

    Learn to Program: Python at UC Online https://dresa.org.au/events/learn-to-program-python-at-uc-online-dd9e4087-7bec-4571-ac60-811bc7c56968 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-09-18 09:30:00 UTC 2024-09-19 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Top Tips from Galaxy Australia

    18 September - 30 October 2024

    Top Tips from Galaxy Australia https://dresa.org.au/events/top-tips-from-galaxy-australia # You're invited to join us to discover Top Tips from the Galaxy Australia team! It’s an open drop-in session where the team will share tips, tricks, and nifty ways to make your life using Galaxy easier and faster. Each session will feature a live demonstration of a Top Tip. After the demo, we will open the floor with the Galaxy Australia team on hand to answer your questions about using Galaxy. All questions are welcome! The demonstrations will be recorded and shared on the [Australian BioCommons YouTube channel](https://www.youtube.com/c/AustralianBioCommonsChannel). We will not record the questions section to allow for an open and honest discussion about challenges that people are facing. ## Is this meeting for me? Are you: - Wanting to improve how you use Galaxy Australia? - Hoping to streamline your data analyses? - Seeking tips to make your research easier? - Looking to improve the reproducibility of your work in Galaxy Australia? - In search of help with a specific tool or workflow? If you answered yes to any of the above questions, then this is the meeting for you! Come along, learn a top tip about using Galaxy Australia, and ask us anything. ## When is it? Once a week on Wednesday at 11 am AEST / 12:30 pm ACST / 11 am AWST - 18 September - 25 September - 2 October - 16 October - 23 October - 30 October **Note: There is no Top Tips session on 9 October.** ## How do I join? Attendance is free. Please [register](https://unimelb.zoom.us/meeting/register/tZIqdO6spjkvHdPjSOcgoh3EDxMXHci4_jcU) and add any questions you have for the team [here](https://www.surveymonkey.com/r/J7QNMQT). This event is part of a series of [bioinformatics training events](https://www.biocommons.org.au/webinars-workshops). If you’d like to hear when registrations open for other events, please subscribe to the [Australian BioCommons newsletter](https://www.biocommons.org.au/subscribe). 2024-09-18 11:00:00 UTC 2024-10-30 11:30:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons comms@biocommons.org.au [] [] [] open_to_all BioinformaticsGalaxy Australiagalaxy projectDemonstration

  • Introduction to Excel for Researchers at ACU

    19 - 20 September 2024

    Introduction to Excel for Researchers at ACU https://dresa.org.au/events/introduction-to-excel-for-researchers-at-acu Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software.   For more information, please click [here](https://intersect.org.au/training/course/excel101). 2024-09-19 09:30:00 UTC 2024-09-20 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Machine Learning using Python: Classification at UOA Online

    19 - 20 September 2024

    Introduction to Machine Learning using Python: Classification at UOA Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification-at-uoa-online-93e63532-9b9f-474a-abdd-312ac717ea9d Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models. #### Prerequisites: Either \Learn to Program: Python\, \Data Manipulation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ or \Learn to Program: Python\, \Data Manipulation and Visualisation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ needed to attend this course.  If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python206). 2024-09-19 09:30:00 UTC 2024-09-20 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Exploring ANOVAs in R at UNE Online

    19 September 2024

    Exploring ANOVAs in R at UNE Online https://dresa.org.au/events/exploring-anovas-in-r-at-une-online-fdb6b370-909e-463b-8764-d614983830eb R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. This half-day course covers one and two-way Analyses of Variance (ANOVA) and their non-parametric counterparts in R. To better understand the tests, assumptions and associated concepts, we will be using a dataset containing the Mathematics scores of secondary students. This dataset also includes information regarding their mother’s and father’s jobs and education levels, the number of hours dedicated to study, and time spent commuting to and from school. Lifestyle information about alcohol consumption habits, whether the students have quality relationships with their families and whether they have free time after school is included in this dataset. #### You'll learn: Basic statistical theory behind ANOVAs How to check that the data meets the assumptions One-way ANOVA in R and post-hoc analysis Two-way ANOVA plus interaction effects and post-hoc analysis Non-parametric alternatives to one and two-way ANOVA #### Prerequisites: This course assumes an intermediate level of programming proficiency, plus familiarity with the syntax and functions of the dplyr and ggplot2 packages. Experience navigating the RStudio integrated development environment (IDE) is also required. If you’re new to programming in R, we strongly recommend you register for the \Learn to Program: R\, \Data Manipulation and Visualisation in R\ workshops first.  For more information, please click [here](https://intersect.org.au/training/course/r212). 2024-09-19 09:30:00 UTC 2024-09-19 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Research Data Management at WSU Online

    19 September 2024

    Introduction to Research Data Management at WSU Online https://dresa.org.au/events/introduction-to-research-data-management-at-wsu-online-b36d9269-ff80-41df-b232-ed4ebc43e47d Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how? This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data. #### You'll learn: How to manage research data according to legal, statutory, ethical, funding body and university requirements Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data Services supporting research data at your institution #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/rdmt001). 2024-09-19 10:00:00 UTC 2024-09-19 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Research Data Management at WSU Online

    20 September 2024

    Introduction to Research Data Management at WSU Online https://dresa.org.au/events/introduction-to-research-data-management-at-wsu-online-f34668d1-7774-4ffb-8377-f93e3c3e4f37 Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how? This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data. #### You'll learn: How to manage research data according to legal, statutory, ethical, funding body and university requirements Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data Services supporting research data at your institution #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/rdmt001). 2024-09-20 10:00:00 UTC 2024-09-20 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • WEBINAR: Global data resources for human genomics and health

    20 September 2024

    WEBINAR: Global data resources for human genomics and health https://dresa.org.au/events/webinar-global-data-resources-for-human-genomics-and-health Dr Mallory Freeberg takes us on a whirlwind tour of the human genomics data resources available at EMBL's European Bioinformatics Institute (EMBL-EBI). Used by scientists across the world, these resources enable the discovery and exploration of genes, variants and their impact on human health and disease. Resources that will be covered in this webinar include: **[Ensembl](https://www.ensembl.org/index.html):** a genome browser that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation **[DECIPHER](https://www.deciphergenomics.org/):** an interactive web-based database and suite of tools that aid the clinical interpretation of genomic variants_** **[Federated EGA](https://ega-archive.org/about/projects-and-funders/federated-ega/):** a global resource for discovery and access of sensitive human omics and associated data consented for secondary use **Perturbation Catalogue:** a new project from[ Open Targets](https://www.opentargets.org/) that is building a catalogue of harmonised and curated human gene, variant, and expression data EMBL-EBI’s comprehensive range of freely available and up-to-date molecular data resources are used by scientists globally. The teams running these resources collaborate closely with international experts and are key partners in human genomic data sharing communities including the[ Global Alliance for Genomics and Health](https://www.ga4gh.org/). **Speaker: Dr Mallory Freeberg, Human Genomics Team Leader, EMBL European Bioinformatics Institute** **Date/Time: 20 September 2024, 3 - 4 pm AEST/ 2:30 - 3:30 pm ACST / 1 - 2 pm AWST** **Who the webinar is for:** This webinar is for life scientists, bioinformaticians, clinicians and clinical geneticists who are working on human genomics data. **How to join:** This webinar is free to join but you must register for a place in advance. **[Register here](https://unimelb.zoom.us/webinar/register/WN_HnTW2NNVQGqOpnQTAtXVNw)** _This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you’d like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter._ 2024-09-20 15:00:00 UTC 2024-09-20 16:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] open_to_all Human genomicsGenetic variationClinical genomics

  • Learn to Program: Python at Deakin Online

    24 - 25 September 2024

    Learn to Program: Python at Deakin Online https://dresa.org.au/events/learn-to-program-python-at-deakin-online-77251553-9eae-45c2-9810-347bcc973a3a Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2024-09-24 09:30:00 UTC 2024-09-25 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at DU Online

    24 - 25 September 2024

    Learn to Program: Python at DU Online https://dresa.org.au/events/learn-to-program-python-at-du-online Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-09-24 09:30:00 UTC 2024-09-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Machine Learning using R: SVM & Unsupervised Learning at UNSW Online

    24 September 2024

    Introduction to Machine Learning using R: SVM & Unsupervised Learning at UNSW Online https://dresa.org.au/events/introduction-to-machine-learning-using-r-svm-unsupervised-learning-at-unsw-online-f91f1904-6c94-4dd7-a094-4fe8c5bfbbdc Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages. #### You'll learn: Comprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use R and its relevant packages to process real datasets, train and apply Machine Learning models. #### Prerequisites: \\Either \Learn to Program: R\ and \Data Manipulation in R\ or \Learn to Program: R\ and \Data Manipulation and Visualisation in R\needed to attend this course. If you already have experience with programming, please check the topics covered in the courses above and \Introduction to ML using R: Introduction & Linear Regression\ to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts, familiarity with dplyr, tidyr and ggplot2 packages, and basic understanding of Machine Learning and Model Training.\\Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\\ For more information, please click [here](https://intersect.org.au/training/course/r207). 2024-09-24 09:30:00 UTC 2024-09-24 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at UNE Online

    24 September 2024

    Excel for Researchers at UNE Online https://dresa.org.au/events/excel-for-researchers-at-une-online-a53333b8-aeb4-4a76-8e7b-7548d1f2b2db Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software.   For more information, please click [here](https://intersect.org.au/training/course/excel101). 2024-09-24 09:30:00 UTC 2024-09-24 16:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • WORKSHOP: Hello Nextflow!

    24 - 25 September 2024

    WORKSHOP: Hello Nextflow! https://dresa.org.au/events/workshop-hello-nextflow The rise of big data has made it essential to be able to analyse and perform experiments on large datasets in a portable and reproducible manner. Nextflow is a popular bioinformatics workflow orchestrator that makes it easy to run data-intensive computational pipelines. It enables scalable and reproducible scientific workflows using software containers on any infrastructure. It allows the adaptation of workflows written in most languages and provides the ability to customise and optimise workflows for different computational environments, types and sizes of data. This workshop will put you on the path to writing your own reproducible and scalable scientific workflows using Nextflow. You will learn how to use core Nextflow components to build, run and troubleshoot a scalable multi-step workflow. **Learning outcomes:** By the end of the workshop you should be able to: * Describe and utlise core Nextflow components sufficient to build a simple multi-step workflow * Describe next-step concepts such as operations and channels * Launch a Nextflow workflow locally * Find and interpret outputs and log files generated by Nextflow * Troubleshoot basic issues * Develop a scalable workflow that processes multiple samples and incorporates advanced features * Assess the effectiveness of a workflow in handling multiple samples in parallel execution. **Lead Trainers:** Dr Chris Hakkaart, Developer Advocate, Seqera Labs. Fred Jaya, Senior Bioinformatician (Australian BioCommons), Sydney Informatics Hub, University of Sydney. Dr Georgie Samaha - Product Owner of the Australian BioCommons BioCLI Project and Bioinformatics Group Lead at the Sydney Informatics Hub, The University of Sydney. **Date/Time**: 24 - 25 September 2024, 2 - 5 pm AEST/ 1:30 - 4:30pm ACST / 12 - 3 pm AWST **Location: ** Online **Format:** This online workshop will take place over two 3 hour sessions. You must attend both sessions in order to get the most out of the workshop. Expert trainers will introduce new topics and guide you through hands-on activities to help you put your new skills into action. **Who the workshop is for:** This is an intermediate-advanced workshop for people developing reproducible bioinformatics workflows. _Prerequisites_ * You must be associated with an Australian organisation for your application to be considered * Command line / linux experience is essential. The workshop will be conducted in a Unix environment * Experience developing reproducible workflows (eg. bash, CWL, WDL, or Snakemake) * Experience with Github and a Github account **How to apply:** This workshop is free but participation is subject to application with selection. Applications close at **11:59pm AEST, Tuesday 10 September 2024**. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our[ Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) **[Apply here](https://hello-nextflow.eventbrite.com.au/)** _This workshop is presented by[ Australian BioCommons](https://www.biocommons.org.au/), the Sydney Informatics Hub and Seqera with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter_ 2024-09-24 14:00:00 UTC 2024-09-25 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] expression_of_interest NextflowWorkflows

  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning at UOA Online

    25 September 2024

    Introduction to Machine Learning using Python: SVM & Unsupervised Learning at UOA Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning-at-uoa-online-3c8179e6-cdc7-46bb-9682-895488ee732a Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: Comprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models. #### Prerequisites: Either \Learn to Program: Python\, \Data Manipulation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ or \Learn to Program: Python\, \Data Manipulation and Visualisation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ needed to attend this course.  If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python207). 2024-09-25 09:30:00 UTC 2024-09-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Surveying with Qualtrics at UNE Online

    25 September 2024

    Surveying with Qualtrics at UNE Online https://dresa.org.au/events/surveying-with-qualtrics-at-une-online-892aa020-002c-4fd7-b0db-b9cfb34e5100 Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: Format a sample survey using the Qualtrics online platform Configure the survey using a range of design features to improve user experience Decide which distribution channel is right for your needs Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. For more information, please click [here](https://intersect.org.au/training/course/qltrics101). 2024-09-25 09:30:00 UTC 2024-09-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at La Trobe Online

    25 September 2024

    Data Capture and Surveys with REDCap at La Trobe Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-la-trobe-online-75f47423-7ad6-45e8-b8d4-ae67f17305fc Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2024-09-25 10:00:00 UTC 2024-09-25 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at LTU Online

    25 September 2024

    Data Capture and Surveys with REDCap at LTU Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-202321e5-6887-4dce-bc6b-fee07ede2664 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: Get started with REDCap Create and set up projects Design forms and surveys using the online designer Learn how to use branching logic, piping, and calculations Enter data via forms and distribute surveys Create, view and export data reports Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/redcap101). 2024-09-25 10:00:00 UTC 2024-09-25 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at LTU Online

    25 - 26 September 2024

    Learn to Program: R at LTU Online https://dresa.org.au/events/learn-to-program-r-at-ltu-online-909d86e9-d993-4190-886b-51f488a788d5 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the RStudio interface for programming Basic syntax and data types in R How to load external data into R Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found \here\. For more information, please click [here](https://intersect.org.au/training/course/r101). 2024-09-25 10:00:00 UTC 2024-09-26 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Longitudinal Trials with REDCap at UNE Online

    10 September 2024

    Longitudinal Trials with REDCap at UNE Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-une-online-99f8eaa5-18b0-42e8-b2f2-79f64de31d2b REDCap is a powerful and extensible application for managing and running longitudinal data collection activities. With powerful features such as organising data collection instruments into predefined events, you can shepherd your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap’s more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 – Managing Data Capture and Surveys with REDCap. #### You'll learn: Build a longitudinal project Manage participants throughout multiple events Configure and use Automated Survey Invitations Use Smart Variables to add powerful features to your logic Take advantage of high-granularity permissions for your collaborators Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our \Data Capture and Surveys with REDCap\ workshop. For more information, please click [here](https://intersect.org.au/training/course/redcap201). 2024-09-10 09:30:00 UTC 2024-09-10 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at La Trobe Online

    10 - 11 September 2024

    Learn to Program: R at La Trobe Online https://dresa.org.au/events/learn-to-program-r-at-la-trobe-online-ec19fb0d-668a-40fa-9c15-cb164f3529e6 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-09-10 10:00:00 UTC 2024-09-11 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at LTU Online

    10 - 11 September 2024

    Learn to Program: R at LTU Online https://dresa.org.au/events/learn-to-program-r-at-ltu-online-27d1ec5f-3b33-4fd1-966a-a914d3251390 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the RStudio interface for programming Basic syntax and data types in R How to load external data into R Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found \here\. For more information, please click [here](https://intersect.org.au/training/course/r101). 2024-09-10 10:00:00 UTC 2024-09-11 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • WORKSHOP: RNA-seq analysis: reads to differential expression

    10 - 11 September 2024

    WORKSHOP: RNA-seq analysis: reads to differential expression https://dresa.org.au/events/workshop-rna-seq-analysis-reads-to-differential-expression RNA-Seq is a popular method for measuring differential gene expression. This hands-on workshop introduces the concepts of RNA-Seq analysis, from data preparation through to statistical testing for differential gene expression. You’ll learn how to use popular tools and workflows to analyse the data, produce graphical summaries and identify differentially expressed genes. The workshop will focus on the use of[ Galaxy](https://usegalaxy.org.au/), a web-based platform for accessible, reproducible, and transparent computational biological research. Widely used by researchers world wide, Galaxy gives you access to 1000’s of popular tools for analysis and processing of biological data. Galaxy Australia is a fully subsidised service provided by Australian BioCommons. **Learning outcomes:** By the end of the workshop you should be able to: * Perform QC evaluation and filtering on next-generation sequencing data * Use tools in Galaxy to identify differentially expressed genes from RNA-Seq data **Format:** This online workshop will take place over two four-hour sessions. You must attend both sessions in order to get the most out of the workshop. Expert trainers will introduce new topics and guide you through hands-on activities to help you put your new skills into action. **Lead Trainer:** Mike Thang, Galaxy Australia **Date/Time**: 10 & 11 September 2024, 1 - 5 pm AEST/12:30 - 4:30 pm ACST/11 am - 3 pm AWST **Who the workshop is for:** This workshop is for Australian researchers and life scientists who will use RNA-seq for differential gene expression as part of their projects. _Prerequisites_ * You must be associated with an Australian organisation for your application to be considered. * Some familiarity with Galaxy is encouraged. We recommend watching this[ brief introduction to Galaxy Australia](https://youtu.be/i8ZnK8i8zRE) and working through the[ Galaxy Basics for Everyone tutorial](https://training.galaxyproject.org/training-material/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.html) before joining the workshop. Alternatively you can join our[ introductory workshop on 21 August](https://www.biocommons.org.au/events/galaxy-intro-2024). **How to apply:** This workshop is free but participation is subject to application with selection. Applications close at **11:59pm AEST, 27 August 2024**. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our[ Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) **[Apply here](https://www.eventbrite.com.au/e/workshop-rna-seq-analysis-reads-to-differential-expression-tickets-954517687097)** _This workshop is presented by the[ Australian BioCommons](https://www.biocommons.org.au/) and[ QCIF](https://www.qcif.edu.au/) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter._ 2024-09-10 13:00:00 UTC 2024-09-11 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] expression_of_interest RNASeqTranscriptomicsGalaxy AustraliaGene expression

  • Introduction to Machine Learning using Python: Introduction & Linear Regression at UOA Online

    10 - 11 September 2024

    Introduction to Machine Learning using Python: Introduction & Linear Regression at UOA Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-uoa-online-f7c6dc29-89e9-4801-9e51-3f03b5e8acbd Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: Understand the difference between supervised and unsupervised Machine Learning. Understand the fundamentals of Machine Learning. Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either \Learn to Program: Python\ and \Data Manipulation in Python\ or \Learn to Program: Python\ and \Data Manipulation and Visualisation in Python\ needed to attend this course.  If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python205). 2024-09-10 13:30:00 UTC 2024-09-11 16:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at LTU Online

    11 September 2024

    Data Capture and Surveys with REDCap at LTU Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-8b174e4c-17d4-4dae-ba4e-02e52cead8d5 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: Get started with REDCap Create and set up projects Design forms and surveys using the online designer Learn how to use branching logic, piping, and calculations Enter data via forms and distribute surveys Create, view and export data reports Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/redcap101). 2024-09-11 10:00:00 UTC 2024-09-11 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at UC Online

    12 September 2024

    Data Capture and Surveys with REDCap at UC Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-uc-online-84697a33-cc8e-4862-9356-e80cdb037771 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: Get started with REDCap Create and set up projects Design forms and surveys using the online designer Learn how to use branching logic, piping, and calculations Enter data via forms and distribute surveys Create, view and export data reports Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/redcap101). 2024-09-12 09:30:00 UTC 2024-09-12 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Unix Shell and Command Line Basics at Deakin Online

    17 September 2024

    Unix Shell and Command Line Basics at Deakin Online https://dresa.org.au/events/unix-shell-and-command-line-basics-at-deakin-online-ed6b3575-5343-4ad1-aa96-c9796976203a The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line. Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run. We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you'll learn at this course are generally transferable to other Unix environments. #### You'll learn: - Navigate and work with files and directories (folders) - Use a selection of essential tools - Combine data and tools to build a processing workflow - Automate repetitive analysis using the command line #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/unix101).** 2024-09-17 09:30:00 UTC 2024-09-17 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Exploring Chi-square and correlation in R at UNE Online

    17 September 2024

    Exploring Chi-square and correlation in R at UNE Online https://dresa.org.au/events/exploring-chi-square-and-correlation-in-r-at-une-online-ba37fd4a-dc9a-4392-a9a1-6101e0a5de90 This hands-on training is designed to familiarise you with the data analysis environment of the R programming. In this session, we will traverse into the realm of inferential statistics, beginning with correlation and reliability. We will present a brief conceptual overview and the R procedures for computing reliability and correlation (Pearson’s r, Spearman’s Rho and Kendall’s tau) in real world datasets. #### You'll learn: Obtain inferential statistics and assess data normality Manipulate data and create graphs Perform Chi-Square tests (Goodness of Fit test and Test of Independence) Perform correlations on continuous and categorical data (Pearson’s r, Spearman’s Rho and Kendall’s tau) #### Prerequisites: This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts, as well as familiarity with data manipulation (dplyr) and visualisation (ggplot2 package).  Please consider attending Intersect’s following courses to get up to speed: \Learn to Program: R\, \Data Manipulation and Visualisation in R\ For more information, please click [here](https://intersect.org.au/training/course/r210). 2024-09-17 09:30:00 UTC 2024-09-17 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Unix Shell and Command Line Basics at DU Online

    17 September 2024

    Unix Shell and Command Line Basics at DU Online https://dresa.org.au/events/unix-shell-and-command-line-basics-at-du-online The Unix environment is incredibly powerful but quite daunting to the newcomer. Command line confidence unlocks powerful computing resources beyond the desktop, including virtual machines and High Performance Computing. It enables repetitive tasks to be automated. And it comes with a swag of handy tools that can be combined in powerful ways. Getting started is the hardest part, but our helpful instructors are there to demystify Unix as you get to work running programs and writing scripts on the command line. Every attendee is given a dedicated training environment for the duration of the workshop, with all software and data fully loaded and ready to run. We teach this course within a GNU/Linux environment. This is best characterised as a Unix-like environment. We teach how to run commands within the Bash Shell. The skills you’ll learn at this course are generally transferable to other Unix environments. #### You'll learn: Navigate and work with files and directories (folders) Use a selection of essential tools Combine data and tools to build a processing workflow Automate repetitive analysis using the command line #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/unix101). 2024-09-17 09:30:00 UTC 2024-09-17 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Machine Learning using R: Classification at UNSW Online

    17 - 18 September 2024

    Introduction to Machine Learning using R: Classification at UNSW Online https://dresa.org.au/events/introduction-to-machine-learning-using-r-classification-at-unsw-online-39a0ffe6-3317-4649-b1fc-42c4f55b96af Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages. #### You'll learn: Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use R and its relevant packages to process real datasets, train and apply Machine Learning models. #### Prerequisites: \\Either \Learn to Program: R\ and \Data Manipulation in R\ or \Learn to Program: R\ and \Data Manipulation and Visualisation in R\needed to attend this course. If you already have experience with programming, please check the topics covered in courses above and \Introduction to ML using R: Introduction & Linear Regression\ to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts, familiarity with dplyr, tidyr and ggplot2 packages, and basic understanding of Machine Learning and Model Training.\\Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\\ For more information, please click [here](https://intersect.org.au/training/course/r206). 2024-09-17 09:30:00 UTC 2024-09-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Traversing t tests in R at UNE Online

    18 September 2024

    Traversing t tests in R at UNE Online https://dresa.org.au/events/traversing-t-tests-in-r-at-une-online-ac88bc8a-37b3-4428-9142-b48e46ff891e R has become a popular programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. The primary goal of this workshop is to familiarise you with basic statistical concepts in R from reading in and manipulating data, checking assumptions, statistical tests and visualisations. This is not an advanced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R. #### You'll learn: Read in and manipulate data Check assumptions of t tests Perform one-sample t tests Perform two-sample t tests (Independent-samples, Paired-samples) Perform nonparametric t tests (One-sample Wilcoxon Signed Rank test, Independent-samples Mann-Whitney U test) #### Prerequisites: This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts. Please consider attending Intersect’s following courses to get up to speed: \Learn to Program: R\, \Data Manipulation and Visualisation in R\ For more information, please click [here](https://intersect.org.au/training/course/r211). 2024-09-18 09:30:00 UTC 2024-09-18 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at UC Online

    18 - 19 September 2024

    Learn to Program: Python at UC Online https://dresa.org.au/events/learn-to-program-python-at-uc-online-dd9e4087-7bec-4571-ac60-811bc7c56968 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-09-18 09:30:00 UTC 2024-09-19 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Top Tips from Galaxy Australia

    18 September - 30 October 2024

    Top Tips from Galaxy Australia https://dresa.org.au/events/top-tips-from-galaxy-australia # You're invited to join us to discover Top Tips from the Galaxy Australia team! It’s an open drop-in session where the team will share tips, tricks, and nifty ways to make your life using Galaxy easier and faster. Each session will feature a live demonstration of a Top Tip. After the demo, we will open the floor with the Galaxy Australia team on hand to answer your questions about using Galaxy. All questions are welcome! The demonstrations will be recorded and shared on the [Australian BioCommons YouTube channel](https://www.youtube.com/c/AustralianBioCommonsChannel). We will not record the questions section to allow for an open and honest discussion about challenges that people are facing. ## Is this meeting for me? Are you: - Wanting to improve how you use Galaxy Australia? - Hoping to streamline your data analyses? - Seeking tips to make your research easier? - Looking to improve the reproducibility of your work in Galaxy Australia? - In search of help with a specific tool or workflow? If you answered yes to any of the above questions, then this is the meeting for you! Come along, learn a top tip about using Galaxy Australia, and ask us anything. ## When is it? Once a week on Wednesday at 11 am AEST / 12:30 pm ACST / 11 am AWST - 18 September - 25 September - 2 October - 16 October - 23 October - 30 October **Note: There is no Top Tips session on 9 October.** ## How do I join? Attendance is free. Please [register](https://unimelb.zoom.us/meeting/register/tZIqdO6spjkvHdPjSOcgoh3EDxMXHci4_jcU) and add any questions you have for the team [here](https://www.surveymonkey.com/r/J7QNMQT). This event is part of a series of [bioinformatics training events](https://www.biocommons.org.au/webinars-workshops). If you’d like to hear when registrations open for other events, please subscribe to the [Australian BioCommons newsletter](https://www.biocommons.org.au/subscribe). 2024-09-18 11:00:00 UTC 2024-10-30 11:30:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons comms@biocommons.org.au [] [] [] open_to_all BioinformaticsGalaxy Australiagalaxy projectDemonstration

  • Introduction to Excel for Researchers at ACU

    19 - 20 September 2024

    Introduction to Excel for Researchers at ACU https://dresa.org.au/events/introduction-to-excel-for-researchers-at-acu Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software.   For more information, please click [here](https://intersect.org.au/training/course/excel101). 2024-09-19 09:30:00 UTC 2024-09-20 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Machine Learning using Python: Classification at UOA Online

    19 - 20 September 2024

    Introduction to Machine Learning using Python: Classification at UOA Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification-at-uoa-online-93e63532-9b9f-474a-abdd-312ac717ea9d Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models. #### Prerequisites: Either \Learn to Program: Python\, \Data Manipulation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ or \Learn to Program: Python\, \Data Manipulation and Visualisation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ needed to attend this course.  If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python206). 2024-09-19 09:30:00 UTC 2024-09-20 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Exploring ANOVAs in R at UNE Online

    19 September 2024

    Exploring ANOVAs in R at UNE Online https://dresa.org.au/events/exploring-anovas-in-r-at-une-online-fdb6b370-909e-463b-8764-d614983830eb R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. This half-day course covers one and two-way Analyses of Variance (ANOVA) and their non-parametric counterparts in R. To better understand the tests, assumptions and associated concepts, we will be using a dataset containing the Mathematics scores of secondary students. This dataset also includes information regarding their mother’s and father’s jobs and education levels, the number of hours dedicated to study, and time spent commuting to and from school. Lifestyle information about alcohol consumption habits, whether the students have quality relationships with their families and whether they have free time after school is included in this dataset. #### You'll learn: Basic statistical theory behind ANOVAs How to check that the data meets the assumptions One-way ANOVA in R and post-hoc analysis Two-way ANOVA plus interaction effects and post-hoc analysis Non-parametric alternatives to one and two-way ANOVA #### Prerequisites: This course assumes an intermediate level of programming proficiency, plus familiarity with the syntax and functions of the dplyr and ggplot2 packages. Experience navigating the RStudio integrated development environment (IDE) is also required. If you’re new to programming in R, we strongly recommend you register for the \Learn to Program: R\, \Data Manipulation and Visualisation in R\ workshops first.  For more information, please click [here](https://intersect.org.au/training/course/r212). 2024-09-19 09:30:00 UTC 2024-09-19 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Research Data Management at WSU Online

    19 September 2024

    Introduction to Research Data Management at WSU Online https://dresa.org.au/events/introduction-to-research-data-management-at-wsu-online-b36d9269-ff80-41df-b232-ed4ebc43e47d Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how? This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data. #### You'll learn: How to manage research data according to legal, statutory, ethical, funding body and university requirements Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data Services supporting research data at your institution #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/rdmt001). 2024-09-19 10:00:00 UTC 2024-09-19 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Research Data Management at WSU Online

    20 September 2024

    Introduction to Research Data Management at WSU Online https://dresa.org.au/events/introduction-to-research-data-management-at-wsu-online-f34668d1-7774-4ffb-8377-f93e3c3e4f37 Are you drowning in research data? Do you want to know where you should be storing your data? Are you required to comply with funding body data management requirements, but don’t know how? This workshop is ideal for researchers who want to know how research data management can support project success and are interested in research data management services and support available at their institution. Combining slide-based background material, discussions, and case studies this workshop will equip participants with best practices for managing their valuable research data. #### You'll learn: How to manage research data according to legal, statutory, ethical, funding body and university requirements Approaches to planning, collecting, organising, managing, storing, backing up, preserving, and sharing your data Services supporting research data at your institution #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/rdmt001). 2024-09-20 10:00:00 UTC 2024-09-20 12:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • WEBINAR: Global data resources for human genomics and health

    20 September 2024

    WEBINAR: Global data resources for human genomics and health https://dresa.org.au/events/webinar-global-data-resources-for-human-genomics-and-health Dr Mallory Freeberg takes us on a whirlwind tour of the human genomics data resources available at EMBL's European Bioinformatics Institute (EMBL-EBI). Used by scientists across the world, these resources enable the discovery and exploration of genes, variants and their impact on human health and disease. Resources that will be covered in this webinar include: **[Ensembl](https://www.ensembl.org/index.html):** a genome browser that supports research in comparative genomics, evolution, sequence variation and transcriptional regulation **[DECIPHER](https://www.deciphergenomics.org/):** an interactive web-based database and suite of tools that aid the clinical interpretation of genomic variants_** **[Federated EGA](https://ega-archive.org/about/projects-and-funders/federated-ega/):** a global resource for discovery and access of sensitive human omics and associated data consented for secondary use **Perturbation Catalogue:** a new project from[ Open Targets](https://www.opentargets.org/) that is building a catalogue of harmonised and curated human gene, variant, and expression data EMBL-EBI’s comprehensive range of freely available and up-to-date molecular data resources are used by scientists globally. The teams running these resources collaborate closely with international experts and are key partners in human genomic data sharing communities including the[ Global Alliance for Genomics and Health](https://www.ga4gh.org/). **Speaker: Dr Mallory Freeberg, Human Genomics Team Leader, EMBL European Bioinformatics Institute** **Date/Time: 20 September 2024, 3 - 4 pm AEST/ 2:30 - 3:30 pm ACST / 1 - 2 pm AWST** **Who the webinar is for:** This webinar is for life scientists, bioinformaticians, clinicians and clinical geneticists who are working on human genomics data. **How to join:** This webinar is free to join but you must register for a place in advance. **[Register here](https://unimelb.zoom.us/webinar/register/WN_HnTW2NNVQGqOpnQTAtXVNw)** _This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you’d like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter._ 2024-09-20 15:00:00 UTC 2024-09-20 16:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] open_to_all Human genomicsGenetic variationClinical genomics

  • Learn to Program: Python at Deakin Online

    24 - 25 September 2024

    Learn to Program: Python at Deakin Online https://dresa.org.au/events/learn-to-program-python-at-deakin-online-77251553-9eae-45c2-9810-347bcc973a3a Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2024-09-24 09:30:00 UTC 2024-09-25 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at DU Online

    24 - 25 September 2024

    Learn to Program: Python at DU Online https://dresa.org.au/events/learn-to-program-python-at-du-online Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-09-24 09:30:00 UTC 2024-09-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Introduction to Machine Learning using R: SVM & Unsupervised Learning at UNSW Online

    24 September 2024

    Introduction to Machine Learning using R: SVM & Unsupervised Learning at UNSW Online https://dresa.org.au/events/introduction-to-machine-learning-using-r-svm-unsupervised-learning-at-unsw-online-f91f1904-6c94-4dd7-a094-4fe8c5bfbbdc Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages. #### You'll learn: Comprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use R and its relevant packages to process real datasets, train and apply Machine Learning models. #### Prerequisites: \\Either \Learn to Program: R\ and \Data Manipulation in R\ or \Learn to Program: R\ and \Data Manipulation and Visualisation in R\needed to attend this course. If you already have experience with programming, please check the topics covered in the courses above and \Introduction to ML using R: Introduction & Linear Regression\ to ensure that you are familiar with the knowledge needed for this course, such as good understanding of R syntax and basic programming concepts, familiarity with dplyr, tidyr and ggplot2 packages, and basic understanding of Machine Learning and Model Training.\\Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them.\\ For more information, please click [here](https://intersect.org.au/training/course/r207). 2024-09-24 09:30:00 UTC 2024-09-24 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Excel for Researchers at UNE Online

    24 September 2024

    Excel for Researchers at UNE Online https://dresa.org.au/events/excel-for-researchers-at-une-online-a53333b8-aeb4-4a76-8e7b-7548d1f2b2db Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there’s too much of it. Frequently, it has errors. We’ll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: ‘Clean up’ messy research data Organise, format and name your data Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) Perform calculations on your data using functions (MAX, MIN, AVERAGE) Extract significant findings from your data (PIVOT TABLE, VLOOKUP) Manipulate your data (convert data format, work with DATES and TIMES) Create graphs and charts to visualise your data (CHARTS) Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software.   For more information, please click [here](https://intersect.org.au/training/course/excel101). 2024-09-24 09:30:00 UTC 2024-09-24 16:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • WORKSHOP: Hello Nextflow!

    24 - 25 September 2024

    WORKSHOP: Hello Nextflow! https://dresa.org.au/events/workshop-hello-nextflow The rise of big data has made it essential to be able to analyse and perform experiments on large datasets in a portable and reproducible manner. Nextflow is a popular bioinformatics workflow orchestrator that makes it easy to run data-intensive computational pipelines. It enables scalable and reproducible scientific workflows using software containers on any infrastructure. It allows the adaptation of workflows written in most languages and provides the ability to customise and optimise workflows for different computational environments, types and sizes of data. This workshop will put you on the path to writing your own reproducible and scalable scientific workflows using Nextflow. You will learn how to use core Nextflow components to build, run and troubleshoot a scalable multi-step workflow. **Learning outcomes:** By the end of the workshop you should be able to: * Describe and utlise core Nextflow components sufficient to build a simple multi-step workflow * Describe next-step concepts such as operations and channels * Launch a Nextflow workflow locally * Find and interpret outputs and log files generated by Nextflow * Troubleshoot basic issues * Develop a scalable workflow that processes multiple samples and incorporates advanced features * Assess the effectiveness of a workflow in handling multiple samples in parallel execution. **Lead Trainers:** Dr Chris Hakkaart, Developer Advocate, Seqera Labs. Fred Jaya, Senior Bioinformatician (Australian BioCommons), Sydney Informatics Hub, University of Sydney. Dr Georgie Samaha - Product Owner of the Australian BioCommons BioCLI Project and Bioinformatics Group Lead at the Sydney Informatics Hub, The University of Sydney. **Date/Time**: 24 - 25 September 2024, 2 - 5 pm AEST/ 1:30 - 4:30pm ACST / 12 - 3 pm AWST **Location: ** Online **Format:** This online workshop will take place over two 3 hour sessions. You must attend both sessions in order to get the most out of the workshop. Expert trainers will introduce new topics and guide you through hands-on activities to help you put your new skills into action. **Who the workshop is for:** This is an intermediate-advanced workshop for people developing reproducible bioinformatics workflows. _Prerequisites_ * You must be associated with an Australian organisation for your application to be considered * Command line / linux experience is essential. The workshop will be conducted in a Unix environment * Experience developing reproducible workflows (eg. bash, CWL, WDL, or Snakemake) * Experience with Github and a Github account **How to apply:** This workshop is free but participation is subject to application with selection. Applications close at **11:59pm AEST, Tuesday 10 September 2024**. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our[ Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) **[Apply here](https://hello-nextflow.eventbrite.com.au/)** _This workshop is presented by[ Australian BioCommons](https://www.biocommons.org.au/), the Sydney Informatics Hub and Seqera with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons newsletter_ 2024-09-24 14:00:00 UTC 2024-09-25 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] expression_of_interest NextflowWorkflows

  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning at UOA Online

    25 September 2024

    Introduction to Machine Learning using Python: SVM & Unsupervised Learning at UOA Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning-at-uoa-online-3c8179e6-cdc7-46bb-9682-895488ee732a Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: Comprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction. Know the differences between various core Machine Learning models. Understand the Machine Learning modelling workflows. Use Python and scikit-learn to process real datasets, train and apply Machine Learning models. #### Prerequisites: Either \Learn to Program: Python\, \Data Manipulation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ or \Learn to Program: Python\, \Data Manipulation and Visualisation in Python\ and \Introduction to ML using Python: Introduction & Linear Regression\ needed to attend this course.  If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. For more information, please click [here](https://intersect.org.au/training/course/python207). 2024-09-25 09:30:00 UTC 2024-09-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Surveying with Qualtrics at UNE Online

    25 September 2024

    Surveying with Qualtrics at UNE Online https://dresa.org.au/events/surveying-with-qualtrics-at-une-online-892aa020-002c-4fd7-b0db-b9cfb34e5100 Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: Format a sample survey using the Qualtrics online platform Configure the survey using a range of design features to improve user experience Decide which distribution channel is right for your needs Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. For more information, please click [here](https://intersect.org.au/training/course/qltrics101). 2024-09-25 09:30:00 UTC 2024-09-25 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at La Trobe Online

    25 September 2024

    Data Capture and Surveys with REDCap at La Trobe Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-la-trobe-online-75f47423-7ad6-45e8-b8d4-ae67f17305fc Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2024-09-25 10:00:00 UTC 2024-09-25 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Data Capture and Surveys with REDCap at LTU Online

    25 September 2024

    Data Capture and Surveys with REDCap at LTU Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-202321e5-6887-4dce-bc6b-fee07ede2664 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: Get started with REDCap Create and set up projects Design forms and surveys using the online designer Learn how to use branching logic, piping, and calculations Enter data via forms and distribute surveys Create, view and export data reports Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/redcap101). 2024-09-25 10:00:00 UTC 2024-09-25 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at LTU Online

    25 - 26 September 2024

    Learn to Program: R at LTU Online https://dresa.org.au/events/learn-to-program-r-at-ltu-online-909d86e9-d993-4190-886b-51f488a788d5 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you’ve never programmed before. That’s where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the RStudio interface for programming Basic syntax and data types in R How to load external data into R Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found \here\. For more information, please click [here](https://intersect.org.au/training/course/r101). 2024-09-25 10:00:00 UTC 2024-09-26 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution []

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