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129 event found
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Keeping Archives Online Learning Series
1 July 2016 - 31 December 2025
Keeping Archives Online Learning Series https://www.archivists.org.au/learning-publications/online-courses#KA https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping -
Writing up a Qualitative PhD
27 - 30 March 2023
Writing up a Qualitative PhD https://www.acspri.org.au/master-class-march-2023-writing-qualitative-phd-online https://dresa.org.au/events/writing-up-a-qualitative-phd Whether you are doing a traditional PhD or a PhD by publication, ‘writing up’ should never be something left to the end of your research. Instead, writing should be a continuous process, learning from your supervisor, your peers and your own mistakes. I examine how this writing up can be accomplished efficiently if rarely painlessly. This masterclass is taught via lectures, small group workshops followed by feedback sessions and one-to-ones with all participants. Whether you are just starting a research degree or in your final year, this is the course for you. Among the topics covered are: * The PhD as an apprenticeship. What ‘originality’ means. * Learning from your supervisor and your peer groups * The need for consistency. Fitting your research question and methodology to your research model. * Reassurance strategies when difficulties arise: the low bar in qualitative research. * Designing a methodology that allows for rapid data gathering and early data analysis. * Practical suggestions about when to write a literature review and what it should contain. * How to avoid dull methodology chapters. Keeping a research diary. * How to write credible and interesting data chapters. What to include and what to omit. * Concluding chapters that are not summaries but which stretch the imagination. * Writing publishable journal articles 2023-03-27 19:00:00 UTC 2023-03-30 21:30:00 UTC ACSPRI online, online, Australia online online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative Researchqualitative dataQualitative PhDWriting up a PhD -
Data Manipulation and Visualisation in R at UTS Online
30 - 31 March 2023
Data Manipulation and Visualisation in R at UTS Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-uts-online-3ef8cd20-f484-45c6-a0e3-462086a27a3f 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. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). 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 Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r203).** 2023-03-30 13:30:00 UTC 2023-03-31 16:30:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution [] -
Statistical Comparisons using SPSS
31 March 2023
Statistical Comparisons using SPSS https://www.qcif.edu.au/trainingcourses/stat-comparisons-spss/ https://dresa.org.au/events/statistical-comparisons-using-spss-057b3075-0441-4bce-b627-8e49cf7a9def This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2023-03-31 09:00:00 UTC 2023-03-31 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all [] -
REDCap 202: Finalising and Running a Clinical Trial
4 April 2023
REDCap 202: Finalising and Running a Clinical Trial https://www.qcif.edu.au/trainingcourses/intro-to-redcap/ https://dresa.org.au/events/redcap-202-finalising-and-running-a-clinical-trial REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2023-04-04 09:00:00 UTC 2023-04-04 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all [] -
Data Manipulation and Visualisation in Python at UniSA Online
4 - 5 April 2023
Data Manipulation and Visualisation in Python at UniSA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-unisa-online-a3d2d2a8-82cf-4549-b9a2-28cabb738e82 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. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). 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: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2023-04-04 09:00:00 UTC 2023-04-05 12:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution [] -
Surveying with Qualtrics at UNE Online
4 April 2023
Surveying with Qualtrics at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/surveying-with-qualtrics-at-une-online-982380e0-90f9-4b77-8fa2-70b42ac826b4 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).** 2023-04-04 09:30:00 UTC 2023-04-04 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at UOA Online
4 - 5 April 2023
Excel for Researchers at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-uoa-online-c1507755-0d72-416e-aad9-3396f2daec71 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).** 2023-04-04 09:30:00 UTC 2023-04-05 12:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at LTU Online
4 April 2023
Data Capture and Surveys with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-f2033187-f6cb-4a4e-8a8f-59d1e88c2ce7 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).** 2023-04-04 10:00:00 UTC 2023-04-04 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at La Trobe Online
4 April 2023
Data Capture and Surveys with REDCap at La Trobe Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-la-trobe-online 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).** 2023-04-04 10:00:00 UTC 2023-04-04 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
ML4AU CoP : AI & Data Science Skill Gap in Research Sector & Solutions
4 April 2023
ML4AU CoP : AI & Data Science Skill Gap in Research Sector & Solutions https://www.eventbrite.com.au/e/ml4au-cop-ai-data-science-skill-gap-in-research-sector-solutions-tickets-597567559657 https://dresa.org.au/events/ml4au-cop-ai-data-science-skill-gap-in-research-sector-solutions Accelerate research by bridging the gap in AI and Data Science skills needed in research and upskilling the of researchers 2023-04-04 16:00:00 UTC 2023-04-04 17:30:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 100 [] open_to_all Science & TechnologyHigh Tech -
Multivariate Statistical Analysis 1: Dimension Reduction
5 April 2023
Multivariate Statistical Analysis 1: Dimension Reduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-0fb6ebec-8950-4f74-a31a-726e179283c9 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2023-04-05 09:30:00 UTC 2023-04-05 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Getting started with NVivo for Windows at UNE Online
5 April 2023
Getting started with NVivo for Windows at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-une-online-761e7d4c-d1b8-43de-b0b4-9dd14840ac4f Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2023-04-05 09:30:00 UTC 2023-04-05 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution [] -
Introduction to Survival Analysis
5 April 2023
Introduction to Survival Analysis https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/introduction-to-survival-analysis-9d98abbf-40da-4758-9732-705f0fa5c761 Survival analysis is used when you want to measure the time elapsed up to when a specified event occurs. It is commonly used in studies where subjects are followed until death occurs, hence the name. In this workshop we will introduce some key concepts pertaining to survival analysis including censoring of cases, the survival function, and the hazard ratio estimator. The Kaplan Meier survival curve will be explained through a worked example and the technique of Cox proportional hazards regression will be introduced using the same example dataset. Participants will be provided with software code in SPSS and R to reproduce the analysis presented in the workshop. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2023-04-05 11:30:00 UTC 2023-04-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at UC Online
5 April 2023
Data Capture and Surveys with REDCap at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-uc-online-7137334a-b429-40af-8fb1-80a778ae73c4 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).** 2023-04-05 13:30:00 UTC 2023-04-05 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution [] -
Linear Models 3
5 April 2023
Linear Models 3 https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-3 **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCTs), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** - **In person**: Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. - **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2023-04-05 14:00:00 UTC 2023-04-05 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Databasing Clinic (Australia)
7 April 2023
Databasing Clinic (Australia) https://heuristnetwork.org/event/april-clinic-australia/ https://dresa.org.au/events/databasing-clinic-australia-2ee744d1-8422-4ddb-bf9f-95d4758a881a Join Dr Michael Falk, Heurist’s Community Technical Advisor, for a free and flexible training session. What we cover is entirely dependant on your needs. We can: Have an introduction to Heurist’s core features Import data into your Heurist database Workshop ideas for your Heurist website Troubleshoot specific problems with your database Discuss principles of data modelling To register for the clinic, click here. After registering, you will receive a confirmation email containing information about joining the meeting. 2023-04-07 05:30:00 UTC 2023-04-07 07:00:00 UTC Heurist Network Online Online Heurist Network info@heuristnetwork.org [] [] [] open_to_all Training -
Introduction to Programming: R for Reproducible Scientific Analysis
11 - 14 April 2023
Introduction to Programming: R for Reproducible Scientific Analysis https://www.qcif.edu.au/trainingcourses/r-for-reproducible-scientific-analysis/ https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-25460e22-8621-4919-aa7f-3acc457bb0b0 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2023-04-11 09:00:00 UTC 2023-04-14 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all [] -
Introduction to Artemis HPC
11 April 2023
Introduction to Artemis HPC https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/introduction-to-artemis-hpc-1c2b7843-63e8-4482-8254-dee66437cd4e ### **Sydney Informatics Hub Research Computing Training Series** ## Introduction to the Artemis High Performance Computer (HPC) **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn about the University of Sydney's HPC 'Artemis', including directory structure, software, and how to submit and monitor compute jobs using the PBS Pro scheduling software. Also learn about the national HPC facilities and cloud services available. Artemis is available at no cost to University of Sydney staff and students. **Target audience:** Students and staff who would like to learn how to run compute jobs on Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** It is recommended to register for the Data transfer and RDS for HPC course to learn how to move data to Artemis. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2023-04-11 10:30:00 UTC 2023-04-11 13:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Excel for Researchers at ACU Online
12 - 13 April 2023
Excel for Researchers at ACU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-acu-online-79cc6b52-41ed-49fa-b1a4-c005f1df234a 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).** 2023-04-12 09:30:00 UTC 2023-04-13 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution [] -
Linear Regression using SPSS
13 April 2023
Linear Regression using SPSS https://www.qcif.edu.au/trainingcourses/linear-regression-spss/ https://dresa.org.au/events/linear-regression-using-spss This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using SPSS, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in SPSS. 2023-04-13 09:00:00 UTC 2023-04-13 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all [] -
Longitudinal Trials with REDCap at UC Online
13 April 2023
Longitudinal Trials with REDCap at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/longitudinal-trials-with-redcap-at-uc-online-7c548b8d-34f4-4c7f-a41b-0d1552cad666 REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard 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](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2023-04-13 09:30:00 UTC 2023-04-13 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution [] -
Working with Sensitive Data
17 April 2023
Working with Sensitive Data https://www.qcif.edu.au/trainingcourses/working-with-sensitive-data/ https://dresa.org.au/events/working-with-sensitive-data-d70e2cf2-9fee-4bd2-9dde-ebf7320525ea This workshop uses practical and discussion-based training to guide researchers about identifying what constitutes sensitive data, the risks of working with sensitive data, and how to appropriately manage those risks. It covers the 'Five Safes' framework and researchers' responsibilities, and introduces ways to promote data security and mitigate disclosure risks. 2023-04-17 09:00:00 UTC 2023-04-17 11:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all [] -
WEBINAR: AlphaFold: what’s in it for me?
18 April 2023
WEBINAR: AlphaFold: what’s in it for me? https://www.biocommons.org.au/events/alphafold https://dresa.org.au/events/webinar-alphafold-what-s-in-it-for-me [AlphaFold](https://www.deepmind.com/research/highlighted-research/alphafold) has taken the scientific world by storm with the ability to accurately predict the structure of any protein in minutes using artificial intelligence (AI). From drug discovery to enzymes that degrade plastics, this promises to speed up and fundamentally change the way that protein structures are used in biological research. Beyond the hype, what does this mean for structural biology as a field (and as a career)? Dr Craig Morton, Drug Discovery Lead at the CSIRO, is an early adopter of AlphaFold and has decades of expertise in protein structure / function, protein modelling, protein – ligand interactions and computational small molecule drug discovery, with particular interest in anti-infective agents for the treatment of bacterial and viral diseases. Craig joins this webinar to share his perspective on the implications of AlphaFold for science and structural biology. He will give an overview of how AlphaFold works, ways to access AlphaFold, and some examples of how it can be used for protein structure/function analysis. **Speaker:** Dr Craig Morton, Principal Research Scientist and Drug Discovery Lead at the CSIRO **Who the webinar is for:** Researchers, computational biologists and bioinformaticians with an interest in structural biology or applications of deep learning and artificial intelligence to life science research. **How to join:** This webinar takes place online via Zoom Webinar. The webinar is free to join but you must register for a place in advance **[Register here](https://unimelb.zoom.us/webinar/register/WN_LwOIIh3UQemKPgcJnfAvzA)** 2023-04-18 13:00:00 UTC 2023-04-18 14:00:00 UTC Australian BioCommons Australian BioCommons training@biocommons.org.au [] [] [] open_to_all AlphafoldAIDeep learningStructural biologyProtein biology -
Introduction to Machine Learning using Python: Introduction & Linear Regression at UNSW Online
18 - 19 April 2023
Introduction to Machine Learning using Python: Introduction & Linear Regression at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-unsw-online-c454dbe7-6418-4018-9266-44021631bf61 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](https://intersect.org.au/training/course/python101/) and [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) 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. #### Why do this course: - Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources. - It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning. - We do have applications on real datasets! - Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects. - Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning. For a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using Python workshops: - Introduction to Machine Learning using Python: Introduction & Linear Regression - Introduction to Machine Learning using Python: Classification - Introduction to Machine Learning using Python: SVM & Unsupervised Learning **For more information, please click [here](https://intersect.org.au/training/course/python205).** 2023-04-18 13:30:00 UTC 2023-04-19 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution [] -
Data Entry and Processing in SPSS at LTU Online
19 - 20 April 2023
Data Entry and Processing in SPSS at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-entry-and-processing-in-spss-at-ltu-online-3b294236-e00a-4004-9e5f-3f7176381ed1 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS 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/spss101).** 2023-04-19 10:00:00 UTC 2023-04-20 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Data Entry and Processing in SPSS at La Trobe Online
19 - 20 April 2023
Data Entry and Processing in SPSS at La Trobe Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-entry-and-processing-in-spss-at-la-trobe-online This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS 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/spss101).** 2023-04-19 10:00:00 UTC 2023-04-20 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Intro to REDCap (webinar)
19 April 2023
Intro to REDCap (webinar) https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap-webinar-ce1981ae-6452-43a2-b136-988dfe53f2f9 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2023-04-19 13:00:00 UTC 2023-04-19 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at UniSA Online
20 - 21 April 2023
Data Manipulation and Visualisation in R at UniSA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-unisa-online-ba811131-d626-41f0-8bbb-a9a73ad9c46b 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. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). 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 Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r203).** 2023-04-20 09:00:00 UTC 2023-04-21 12:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution [] -
Version Control with Git
20 April 2023
Version Control with Git https://www.qcif.edu.au/trainingcourses/version-control-with-git/ https://dresa.org.au/events/version-control-with-git-44167e7f-65d5-43fa-ace9-12611e7dc9ea Version control is the lab notebook of the digital world: it’s what professionals use to keep track of what they’ve done and to collaborate with other people. Every large software development project relies on it, and most programmers use it for their small jobs as well. And it isn’t just for software: books, papers, small data sets, and anything that changes over time or needs to be shared can and should be stored in a version control system. 2023-04-20 09:00:00 UTC 2023-04-20 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
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Keeping Archives Online Learning Series
1 July 2016 - 31 December 2025
Keeping Archives Online Learning Series https://www.archivists.org.au/learning-publications/online-courses#KA https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping -
Writing up a Qualitative PhD
27 - 30 March 2023
Writing up a Qualitative PhD https://www.acspri.org.au/master-class-march-2023-writing-qualitative-phd-online https://dresa.org.au/events/writing-up-a-qualitative-phd Whether you are doing a traditional PhD or a PhD by publication, ‘writing up’ should never be something left to the end of your research. Instead, writing should be a continuous process, learning from your supervisor, your peers and your own mistakes. I examine how this writing up can be accomplished efficiently if rarely painlessly. This masterclass is taught via lectures, small group workshops followed by feedback sessions and one-to-ones with all participants. Whether you are just starting a research degree or in your final year, this is the course for you. Among the topics covered are: * The PhD as an apprenticeship. What ‘originality’ means. * Learning from your supervisor and your peer groups * The need for consistency. Fitting your research question and methodology to your research model. * Reassurance strategies when difficulties arise: the low bar in qualitative research. * Designing a methodology that allows for rapid data gathering and early data analysis. * Practical suggestions about when to write a literature review and what it should contain. * How to avoid dull methodology chapters. Keeping a research diary. * How to write credible and interesting data chapters. What to include and what to omit. * Concluding chapters that are not summaries but which stretch the imagination. * Writing publishable journal articles 2023-03-27 19:00:00 UTC 2023-03-30 21:30:00 UTC ACSPRI online, online, Australia online online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative Researchqualitative dataQualitative PhDWriting up a PhD -
Data Manipulation and Visualisation in R at UTS Online
30 - 31 March 2023
Data Manipulation and Visualisation in R at UTS Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-uts-online-3ef8cd20-f484-45c6-a0e3-462086a27a3f 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. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). 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 Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r203).** 2023-03-30 13:30:00 UTC 2023-03-31 16:30:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution [] -
Statistical Comparisons using SPSS
31 March 2023
Statistical Comparisons using SPSS https://www.qcif.edu.au/trainingcourses/stat-comparisons-spss/ https://dresa.org.au/events/statistical-comparisons-using-spss-057b3075-0441-4bce-b627-8e49cf7a9def This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in SPSS. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2023-03-31 09:00:00 UTC 2023-03-31 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all [] -
REDCap 202: Finalising and Running a Clinical Trial
4 April 2023
REDCap 202: Finalising and Running a Clinical Trial https://www.qcif.edu.au/trainingcourses/intro-to-redcap/ https://dresa.org.au/events/redcap-202-finalising-and-running-a-clinical-trial REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2023-04-04 09:00:00 UTC 2023-04-04 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all [] -
Data Manipulation and Visualisation in Python at UniSA Online
4 - 5 April 2023
Data Manipulation and Visualisation in Python at UniSA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-unisa-online-a3d2d2a8-82cf-4549-b9a2-28cabb738e82 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. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). 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: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2023-04-04 09:00:00 UTC 2023-04-05 12:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution [] -
Surveying with Qualtrics at UNE Online
4 April 2023
Surveying with Qualtrics at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/surveying-with-qualtrics-at-une-online-982380e0-90f9-4b77-8fa2-70b42ac826b4 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).** 2023-04-04 09:30:00 UTC 2023-04-04 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at UOA Online
4 - 5 April 2023
Excel for Researchers at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-uoa-online-c1507755-0d72-416e-aad9-3396f2daec71 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).** 2023-04-04 09:30:00 UTC 2023-04-05 12:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at LTU Online
4 April 2023
Data Capture and Surveys with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-f2033187-f6cb-4a4e-8a8f-59d1e88c2ce7 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).** 2023-04-04 10:00:00 UTC 2023-04-04 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at La Trobe Online
4 April 2023
Data Capture and Surveys with REDCap at La Trobe Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-la-trobe-online 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).** 2023-04-04 10:00:00 UTC 2023-04-04 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
ML4AU CoP : AI & Data Science Skill Gap in Research Sector & Solutions
4 April 2023
ML4AU CoP : AI & Data Science Skill Gap in Research Sector & Solutions https://www.eventbrite.com.au/e/ml4au-cop-ai-data-science-skill-gap-in-research-sector-solutions-tickets-597567559657 https://dresa.org.au/events/ml4au-cop-ai-data-science-skill-gap-in-research-sector-solutions Accelerate research by bridging the gap in AI and Data Science skills needed in research and upskilling the of researchers 2023-04-04 16:00:00 UTC 2023-04-04 17:30:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 100 [] open_to_all Science & TechnologyHigh Tech -
Multivariate Statistical Analysis 1: Dimension Reduction
5 April 2023
Multivariate Statistical Analysis 1: Dimension Reduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-0fb6ebec-8950-4f74-a31a-726e179283c9 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2023-04-05 09:30:00 UTC 2023-04-05 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Getting started with NVivo for Windows at UNE Online
5 April 2023
Getting started with NVivo for Windows at UNE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-une-online-761e7d4c-d1b8-43de-b0b4-9dd14840ac4f Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2023-04-05 09:30:00 UTC 2023-04-05 12:45:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution [] -
Introduction to Survival Analysis
5 April 2023
Introduction to Survival Analysis https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/introduction-to-survival-analysis-9d98abbf-40da-4758-9732-705f0fa5c761 Survival analysis is used when you want to measure the time elapsed up to when a specified event occurs. It is commonly used in studies where subjects are followed until death occurs, hence the name. In this workshop we will introduce some key concepts pertaining to survival analysis including censoring of cases, the survival function, and the hazard ratio estimator. The Kaplan Meier survival curve will be explained through a worked example and the technique of Cox proportional hazards regression will be introduced using the same example dataset. Participants will be provided with software code in SPSS and R to reproduce the analysis presented in the workshop. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2023-04-05 11:30:00 UTC 2023-04-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at UC Online
5 April 2023
Data Capture and Surveys with REDCap at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-uc-online-7137334a-b429-40af-8fb1-80a778ae73c4 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).** 2023-04-05 13:30:00 UTC 2023-04-05 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution [] -
Linear Models 3
5 April 2023
Linear Models 3 https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-3 **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCTs), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** - **In person**: Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. - **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2023-04-05 14:00:00 UTC 2023-04-05 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Databasing Clinic (Australia)
7 April 2023
Databasing Clinic (Australia) https://heuristnetwork.org/event/april-clinic-australia/ https://dresa.org.au/events/databasing-clinic-australia-2ee744d1-8422-4ddb-bf9f-95d4758a881a Join Dr Michael Falk, Heurist’s Community Technical Advisor, for a free and flexible training session. What we cover is entirely dependant on your needs. We can: Have an introduction to Heurist’s core features Import data into your Heurist database Workshop ideas for your Heurist website Troubleshoot specific problems with your database Discuss principles of data modelling To register for the clinic, click here. After registering, you will receive a confirmation email containing information about joining the meeting. 2023-04-07 05:30:00 UTC 2023-04-07 07:00:00 UTC Heurist Network Online Online Heurist Network info@heuristnetwork.org [] [] [] open_to_all Training -
Introduction to Programming: R for Reproducible Scientific Analysis
11 - 14 April 2023
Introduction to Programming: R for Reproducible Scientific Analysis https://www.qcif.edu.au/trainingcourses/r-for-reproducible-scientific-analysis/ https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-25460e22-8621-4919-aa7f-3acc457bb0b0 This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2023-04-11 09:00:00 UTC 2023-04-14 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all [] -
Introduction to Artemis HPC
11 April 2023
Introduction to Artemis HPC https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/introduction-to-artemis-hpc-1c2b7843-63e8-4482-8254-dee66437cd4e ### **Sydney Informatics Hub Research Computing Training Series** ## Introduction to the Artemis High Performance Computer (HPC) **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn about the University of Sydney's HPC 'Artemis', including directory structure, software, and how to submit and monitor compute jobs using the PBS Pro scheduling software. Also learn about the national HPC facilities and cloud services available. Artemis is available at no cost to University of Sydney staff and students. **Target audience:** Students and staff who would like to learn how to run compute jobs on Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** It is recommended to register for the Data transfer and RDS for HPC course to learn how to move data to Artemis. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2023-04-11 10:30:00 UTC 2023-04-11 13:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Excel for Researchers at ACU Online
12 - 13 April 2023
Excel for Researchers at ACU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-acu-online-79cc6b52-41ed-49fa-b1a4-c005f1df234a 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).** 2023-04-12 09:30:00 UTC 2023-04-13 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution [] -
Linear Regression using SPSS
13 April 2023
Linear Regression using SPSS https://www.qcif.edu.au/trainingcourses/linear-regression-spss/ https://dresa.org.au/events/linear-regression-using-spss This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using SPSS, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in SPSS. 2023-04-13 09:00:00 UTC 2023-04-13 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all [] -
Longitudinal Trials with REDCap at UC Online
13 April 2023
Longitudinal Trials with REDCap at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/longitudinal-trials-with-redcap-at-uc-online-7c548b8d-34f4-4c7f-a41b-0d1552cad666 REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard 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](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2023-04-13 09:30:00 UTC 2023-04-13 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution [] -
Working with Sensitive Data
17 April 2023
Working with Sensitive Data https://www.qcif.edu.au/trainingcourses/working-with-sensitive-data/ https://dresa.org.au/events/working-with-sensitive-data-d70e2cf2-9fee-4bd2-9dde-ebf7320525ea This workshop uses practical and discussion-based training to guide researchers about identifying what constitutes sensitive data, the risks of working with sensitive data, and how to appropriately manage those risks. It covers the 'Five Safes' framework and researchers' responsibilities, and introduces ways to promote data security and mitigate disclosure risks. 2023-04-17 09:00:00 UTC 2023-04-17 11:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all [] -
WEBINAR: AlphaFold: what’s in it for me?
18 April 2023
WEBINAR: AlphaFold: what’s in it for me? https://www.biocommons.org.au/events/alphafold https://dresa.org.au/events/webinar-alphafold-what-s-in-it-for-me [AlphaFold](https://www.deepmind.com/research/highlighted-research/alphafold) has taken the scientific world by storm with the ability to accurately predict the structure of any protein in minutes using artificial intelligence (AI). From drug discovery to enzymes that degrade plastics, this promises to speed up and fundamentally change the way that protein structures are used in biological research. Beyond the hype, what does this mean for structural biology as a field (and as a career)? Dr Craig Morton, Drug Discovery Lead at the CSIRO, is an early adopter of AlphaFold and has decades of expertise in protein structure / function, protein modelling, protein – ligand interactions and computational small molecule drug discovery, with particular interest in anti-infective agents for the treatment of bacterial and viral diseases. Craig joins this webinar to share his perspective on the implications of AlphaFold for science and structural biology. He will give an overview of how AlphaFold works, ways to access AlphaFold, and some examples of how it can be used for protein structure/function analysis. **Speaker:** Dr Craig Morton, Principal Research Scientist and Drug Discovery Lead at the CSIRO **Who the webinar is for:** Researchers, computational biologists and bioinformaticians with an interest in structural biology or applications of deep learning and artificial intelligence to life science research. **How to join:** This webinar takes place online via Zoom Webinar. The webinar is free to join but you must register for a place in advance **[Register here](https://unimelb.zoom.us/webinar/register/WN_LwOIIh3UQemKPgcJnfAvzA)** 2023-04-18 13:00:00 UTC 2023-04-18 14:00:00 UTC Australian BioCommons Australian BioCommons training@biocommons.org.au [] [] [] open_to_all AlphafoldAIDeep learningStructural biologyProtein biology -
Introduction to Machine Learning using Python: Introduction & Linear Regression at UNSW Online
18 - 19 April 2023
Introduction to Machine Learning using Python: Introduction & Linear Regression at UNSW Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-unsw-online-c454dbe7-6418-4018-9266-44021631bf61 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](https://intersect.org.au/training/course/python101/) and [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) 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. #### Why do this course: - Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources. - It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning. - We do have applications on real datasets! - Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects. - Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning. For a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using Python workshops: - Introduction to Machine Learning using Python: Introduction & Linear Regression - Introduction to Machine Learning using Python: Classification - Introduction to Machine Learning using Python: SVM & Unsupervised Learning **For more information, please click [here](https://intersect.org.au/training/course/python205).** 2023-04-18 13:30:00 UTC 2023-04-19 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution [] -
Data Entry and Processing in SPSS at LTU Online
19 - 20 April 2023
Data Entry and Processing in SPSS at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-entry-and-processing-in-spss-at-ltu-online-3b294236-e00a-4004-9e5f-3f7176381ed1 This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS 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/spss101).** 2023-04-19 10:00:00 UTC 2023-04-20 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Data Entry and Processing in SPSS at La Trobe Online
19 - 20 April 2023
Data Entry and Processing in SPSS at La Trobe Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-entry-and-processing-in-spss-at-la-trobe-online This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization. This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills. #### You'll learn: - Navigate the SPSS working environment - Prepare data files and define variables - Enter data in SPSS and Import data from Excel - Perform data screening - Compose SPSS Syntax for data processing - Obtain descriptive statistics, create graphs & assess normality - Manipulate and transform variables #### Prerequisites: In order to participate, attendees must have a licensed copy of SPSS 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/spss101).** 2023-04-19 10:00:00 UTC 2023-04-20 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Intro to REDCap (webinar)
19 April 2023
Intro to REDCap (webinar) https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap-webinar-ce1981ae-6452-43a2-b136-988dfe53f2f9 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2023-04-19 13:00:00 UTC 2023-04-19 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at UniSA Online
20 - 21 April 2023
Data Manipulation and Visualisation in R at UniSA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-unisa-online-ba811131-d626-41f0-8bbb-a9a73ad9c46b 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. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). 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 Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r203).** 2023-04-20 09:00:00 UTC 2023-04-21 12:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution [] -
Version Control with Git
20 April 2023
Version Control with Git https://www.qcif.edu.au/trainingcourses/version-control-with-git/ https://dresa.org.au/events/version-control-with-git-44167e7f-65d5-43fa-ace9-12611e7dc9ea Version control is the lab notebook of the digital world: it’s what professionals use to keep track of what they’ve done and to collaborate with other people. Every large software development project relies on it, and most programmers use it for their small jobs as well. And it isn’t just for software: books, papers, small data sets, and anything that changes over time or needs to be shared can and should be stored in a version control system. 2023-04-20 09:00:00 UTC 2023-04-20 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
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