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129 event found
  • Linear Models 3: Advanced topics, tips and tricks

    19 October 2022

    Linear Models 3: Advanced topics, tips and tricks https://dresa.org.au/events/linear-models-3-advanced-topics-tips-and-tricks-255bce7c-f07c-41f5-ab50-de1dbf538b86 **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 (RCT’s), 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!!!** 2022-10-19 11:30:00 UTC 2022-10-19 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Statistical Model Building

    19 October 2022

    Statistical Model Building https://dresa.org.au/events/statistical-model-building-a41d5acd-9e17-4478-a400-b3a6954f19c9 This workshop examines and illustrates the key aspects and strategies of statistical model building to help you answer your research question, avoid common pitfalls, erroneous models and incorrect conclusions. Appropriate statistical model building will help you to gain knowledge as opposed to simply getting the best prediction (although that can be a goal as well). We will focus on concepts such as variable selection, multi-collinearity, interactions, selecting a model building strategy, comparing models and evaluating models. In general, these concepts are useful for any statistical model building. This workshop will provide generalised linear regression model examples. The focus will be on practical application of concepts so mathematical descriptions will be kept to a minimum. **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 @Camperdown:** Choose the "In person" ticket option. **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! 2022-10-19 14:00:00 UTC 2022-10-19 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Long-Read Assembly using Galaxy

    20 October 2022

    Long-Read Assembly using Galaxy https://dresa.org.au/events/long-read-assembly-using-galaxy This tutorial explores how long and short read data can be combined to produce a high-quality ‘finished’ bacterial genome sequence. Termed ‘hybrid assembly’, we will use read data produced from two different sequencing platforms, Illumina (short read) and Oxford Nanopore Technologies (long read), to carry out de novo genome assembly. 2022-10-20 09:00:00 UTC 2022-10-20 13:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Workflow Languages

    20 October 2022

    North Melbourne, Australia

    Introduction to Workflow Languages https://dresa.org.au/events/introduction-to-workflow-languages This workshop demonstrates how to write workflows using a workflow language. An introduction to workflow theory, implementation using the CWL language, and execution on a compute environment will be demonstrated. By the end of the session, participants will be able to write and execute basic workflows in CWL. Participants will also gain experience migrating an existing workflow from one system (Galaxy) to another (CWL). Skills learned will be easily transferable to other workflow languages (eg Nextflow) participants may want to learn in the future. 2022-10-20 10:00:00 UTC 2022-10-20 15:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of MelbourneMelbourne Bioinformatics bioinformatics-training@unimelb.edu.au [] researchersbioinformatitions 20 workshop host_institution CWLWorkflows
  • Exploring and Predicting using Linear Regression with SPSS

    21 October 2022

    Exploring and Predicting using Linear Regression with SPSS https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-with-spss-5946f0f9-6922-4c75-913f-c65ea56febca 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. 2022-10-21 09:00:00 UTC 2022-10-21 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: Plotting and Programming with Python

    24 - 27 October 2022

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-1e428191-2e5f-4fee-9382-ff297c340b48 This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2022-10-24 09:00:00 UTC 2022-10-27 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • AgReFed Data Harvester Workshop

    25 October 2022

    AgReFed Data Harvester Workshop https://dresa.org.au/events/agrefed-data-harvester-workshop ### Sydney Informatics Hub presents: ## AgReFed Data-Harvester Workshop for R users The AgReFed Data-Harvester enables reusable workflows for data downloads, feature extraction and spatial-temporal processing of ecological and environmental data into ready-made datasets for machine learning and geospatial insight. ### In this hands-on workshop, we will showcase: 1. Automatic download and extraction of: - Landsat/Sentinel data via Google Earth Engine (e.g., seasonal NDVI) - National calibrated Landsat/Sentinel data via Digital Earth Australia (DEA) Geoscience Earth Observations - Soil and Landscape Grid of Australia (SLGA) - SILO Climate Database (e.g., temperature, rainfall) - National Digital Elevation Model (DEM) 1 arcsec - Radiometric Data 2. Spatial and temporal extraction and processing from obtained datasets 3. Visualisation of data layers and satellite images from Google Earth Engine 4. Cloud-coverage masking for satellite image processing 5. Wrangling points of interest into a machine learning-friendly format ### ### Target audience: This workshop will be of interest to researchers and students in Agriculture, Environmental Science, Geosciences, as well as others interested in working with geo-spatial datasets, especially via spatio-temporal processing of open environmental and satellite-derived data. Additionally, anyone interested in joining an early-phase open-source project are encouraged to come and help develop! ### ### Workshop format: 3 hours online (with breaks). Registered attendees will receive a Zoom link closer to the date. ### ### Pre-requisites: A basic knowledge of R and RStudio is highly recommended; familiarity with tidyverse libraries will be advantageous. An interactive online RStudio environment will be provided for all users for the workshop (with installation instructions provided for those wishing to run things locally). **Note:** The AgReFed Data-Harvester is accessible via both _R_ and _Python_. If you would like to attend a Python workshop instead of (or in addition to) the R stream, please let us know of your interest by entering your email here: [https://sydney.au1.qualtrics.com/jfe/form/SV\_9TUKiEjaNEFPifk](https://sydney.au1.qualtrics.com/jfe/form/SV_9TUKiEjaNEFPifk) ### ### For more information:  sih.training@sydney.edu.au  2022-10-25 09:30:00 UTC 2022-10-25 12:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Learn to Program: R at LTU Online

    25 - 26 October 2022

    Learn to Program: R at LTU Online https://dresa.org.au/events/learn-to-program-r-at-ltu-online-beb66166-f464-46cc-b6a2-c2e9d886b32f R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2022-10-25 09:30:00 UTC 2022-10-26 12:30:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Machine Learning using R: Introduction & Linear Regression at Western Sydney: Online

    25 - 26 October 2022

    Introduction to Machine Learning using R: Introduction & Linear Regression at Western Sydney: Online https://dresa.org.au/events/introduction-to-machine-learning-using-r-introduction-linear-regression-at-western-sydney-online Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages. #### You'll learn: - 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 R and and its relevant packages to process real datasets, train and apply Machine Learning models #### Prerequisites: - Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [Data Manipulation in R](https://intersect.org.au/training/course/r201/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [Data Manipulation and Visualisation in R](https://intersect.org.au/training/course/r203/)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 R syntax and basic programming concepts and familiarity with dplyr, tidyr and ggplot2 packages. - Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. #### 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 R workshops: - Introduction to Machine Learning using R: Introduction & Linear Regression - Introduction to Machine Learning using R: Classification - Introduction to Machine Learning using R: SVM & Unsupervised Learning **For more information, please click [here](https://intersect.org.au/training/course/r205).** 2022-10-25 09:30:00 UTC 2022-10-26 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • ARDC Leadership Series: Industry and Research Sector Forum

    26 October 2022

    Fitzroy, Australia

    ARDC Leadership Series: Industry and Research Sector Forum https://dresa.org.au/events/ardc-leadership-series-industry-and-research-sector-forum The ARDC leadership series provides leaders & decision makers with an opportunity to work through data challenges impacting researchers. 2022-10-26 13:00:00 UTC 2022-10-26 15:30:00 UTC Australian Research Data Commons 425 Smith Street, Fitzroy, Australia 425 Smith Street Fitzroy Australia 3065 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 400 [] open_to_all Business & ProfessionalOther
  • Traversing t tests in R at UC Online

    26 October 2022

    Traversing t tests in R at UC Online https://dresa.org.au/events/traversing-t-tests-in-r-at-uc-online-bab6108f-da9b-4b3a-9c4d-1c9dc9541436 R has become a popular programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. The primary goal of this workshop is to familiarise you with basic statistical concepts in R from reading in and manipulating data, checking assumptions, statistical tests and visualisations. This is not an advanced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R. #### You'll learn: - Read in and manipulate data - Check assumptions of t tests - Perform one-sample t tests - Perform two-sample t tests (Independent-samples, Paired-samples) - Perform nonparametric t tests (One-sample Wilcoxon Signed Rank test, Independent-samples Mann-Whitney U test) #### Prerequisites: This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts. Please consider attending Intersect's following courses to get up to speed: [Learn to Program: R](https://intersect.org.au/training/course/r101/), [Data Manipulation and Visualisation in R](https://intersect.org.au/training/course/r203/) **For more information, please click [here](https://intersect.org.au/training/course/r211).** 2022-10-26 13:30:00 UTC 2022-10-26 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Introduction to R for biologists

    27 October 2022

    North Melbourne, Australia

    Introduction to R for biologists https://dresa.org.au/events/introduction-to-r-for-biologists-49a52478-709d-4e02-8361-e891f7fcab67 This workshop has been developed collaboratively by training specialists at Peter MacCallum Cancer Center and Melbourne Bioinformatics. This introduction to R and RStudio will provide beginners with experience with loading, manipulating and visualising biological data using the tidyverse collection of R packages. The example data used is publicly available RNA-seq data, therefore attendees will gain experience in the structure and appearance of RNA-seq data. 2022-10-27 10:00:00 UTC 2022-10-27 13:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of Melbourne bioinformatics-training@unimelb.edu.au [] beginnersLife scientists planning or running single cell RNAseq experiments (or mining public data), who want to perform their own analyses.Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution RIntroductoryRNASeq
  • Structural Equation Modelling using Stata: Online

    28 - 29 October 2022

    Structural Equation Modelling using Stata: Online https://dresa.org.au/events/structural-equation-modelling-using-stata-online This course is designed for participants with an introductory-level understanding of the statistical methods of regression analysis and exploratory factor analysis. Participants will experience hands-on SEM examples and have the ability to build their own Stata SEM models. This workshop is targeted at those researchers who wish to expand their understanding of this highly powerful technique. SEM has been utilised in many areas of research from psychology to medicine. 2022-10-28 09:00:00 UTC 2022-10-29 17:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingSEMStatisticsSTATA
  • Data Retention Project Phase 4: Information Sessions

    28 October 2022

    Data Retention Project Phase 4: Information Sessions https://dresa.org.au/events/data-retention-project-phase-4-information-sessions-7f4730e7-ab73-4042-a63f-64cca443f86d Data Retention Programme Phase 4 : Information Session 2022-10-28 16:00:00 UTC 2022-10-28 17:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 50 [] open_to_all Science & Technology
  • Learn to Program: R at UNE Online

    1 November 2022

    Learn to Program: R at UNE Online https://dresa.org.au/events/learn-to-program-r-at-une-online-229a8af3-d2ae-4c3b-9d55-7ff6480151c0 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2022-11-01 09:30:00 UTC 2022-11-01 12:30:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UNE Online

    2 November 2022

    Learn to Program: R at UNE Online https://dresa.org.au/events/learn-to-program-r-at-une-online-9b5a36c5-5959-44ee-bc5d-9547df1a7105 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2022-11-02 09:30:00 UTC 2022-11-02 12:30:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Databases and SQL at UC Online

    2 November 2022

    Databases and SQL at UC Online https://dresa.org.au/events/databases-and-sql-at-uc-online-b9027427-eb6d-4704-b7e6-08c5b409678a A relational database is an extremely efficient, fast and widespread means of storing structured data, and Structured Query Language (SQL) is the standard means for reading from and writing to databases. Databases use multiple tables, linked by well-defined relationships, to store large amounts of data without needless repetition while maintaining the integrity of your data. Moving from spreadsheets and text documents to a structured relational database can be a steep learning curve, but one that will reward you many times over in speed, efficiency and power. Developed using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Understand and compose a query using SQL - Use the SQL syntax to select, sort and filter data - Calculate new values from existing data - Aggregate data into sums, averages, and other operations - Combine data from multiple tables - Design and build your own relational databases #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/sql101).** 2022-11-02 09:30:00 UTC 2022-11-02 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Statistical Comparisons using R

    3 November 2022

    Statistical Comparisons using R https://dresa.org.au/events/statistical-comparisons-using-r-3f590752-7f5f-41dc-8f5b-67679f9fc3eb 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 R. 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. 2022-11-03 09:00:00 UTC 2022-11-03 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • NVivo Essentials: Online

    3 - 4 November 2022

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online NVivo is computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information, (including interviews, open-ended survey responses, picture/audio/video data, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required. This workshop is aimed at providing researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be working on or about to embark on a research project. The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users. 2022-11-03 09:30:00 UTC 2022-11-04 16:30:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsText Analyticsmultimedia analysis NVivo
  • Introduction to Machine Learning using Python: Introduction & Linear Regression at Western Sydney: Online

    3 - 4 November 2022

    Introduction to Machine Learning using Python: Introduction & Linear Regression at Western Sydney: Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-western-sydney-online 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).** 2022-11-03 09:30:00 UTC 2022-11-04 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Gadi

    3 November 2022

    Introduction to Gadi https://dresa.org.au/events/introduction-to-gadi-636c0878-fd14-40f9-9fbc-9a414ab055c4 Introduction to Gadi is designed for new users, or users that want a refresher on the basics of Gadi. 2022-11-03 14:00:00 UTC 2022-11-03 16:00:00 UTC NCI NCI training.nci@anu.edu.au [] [] [] open_to_all []
  • Databasing Clinic (Australia)

    4 November 2022

    Databasing Clinic (Australia) https://dresa.org.au/events/databasing-clinic-australia-d75cf825-66a9-475c-af01-df5a41a387ab 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. 2022-11-04 04:30:00 UTC 2022-11-04 06:00:00 UTC Heurist Network Online Online Heurist Network info@heuristnetwork.org [] [] [] open_to_all AdvancedIntroductoryTraining
  • Working with Sensitive Data

    7 November 2022

    Working with Sensitive Data https://dresa.org.au/events/working-with-sensitive-data-f355528c-7120-4178-91cd-18d450aa1335 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. 2022-11-07 09:00:00 UTC 2022-11-07 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all []
  • Introduction to SPSS

    9 November 2022

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-cf6c58b1-3443-4482-b0e6-a142a7f38a37 This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. 2022-11-09 09:00:00 UTC 2022-11-09 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Questionnaire Design: Online

    10 - 11 November 2022

    Questionnaire Design: Online https://dresa.org.au/events/questionnaire-design-online This two day workshop will focus on questionnaire design: types of questions, types of response categories, open versus closed ended questions, questionnaire layout and order of questions and questioning, common mistakes, pilot testing and specific issues such as “The importance of Cover Design.” The workshop includes practice designing the layout of surveys and practice critiquing and writing questions and responses. Topics that are covered include uses of surveys, constructing survey questions that are clear and unbiased, the need to match attitudinal or behavioral data collection with the purpose of the survey, and combining objective and open-ended questioning in order to enhance the usability of results. Types of data that can be collected in surveys will be covered, as well common mistakes made with surveys. The use of an internet survey tool will be demonstrated. 2022-11-10 10:00:00 UTC 2022-11-11 16:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Questionnaire designsurvey designsurvey instrumentssurvey research
  • Analysing conversation and social media data with the ATAP Discursis tool

    10 November 2022

    Analysing conversation and social media data with the ATAP Discursis tool https://dresa.org.au/events/analysing-conversation-and-social-media-data-with-the-atap-discursis-tool **This is the registration page for SIH's 1.5 hour long webinar on "Analysing conversation and social media data with the ATAP Discursis tool", run by the Sydney Informatics Hub.** \*\*\* The Australian Text Analytics Platform (ATAP) project aims to provide researchers with the tools and training for analysing, processing, and exploring text. As part of ATAP, we've developed a new online version of Discursis, a tool for analyzing topics, concepts and engagement in a conversation. In this workshop, we'll look at how we can use Discursis to analyse conversation and discourse transcripts. Discursis gives insights into how speakers in a conversation bring up, repeat, and engage with concepts across time, providing interactive visualisations that summarize these patterns. These same analyses can also be applied to social media data. The workshop will be a hands-on session, working with Discursis via an interactive notebook. This 1.5-hour online workshop will be of interest to researchers and HDR students in Linguistics, Business, Law and Science and others who are interested in working with text datasets - no background knowledge of NLP or coding experience is required. \*\*\* **Attendance options:** Online: This is a Zoom webinar ONLY. 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 universities and other research organisations across Australia and New Zealand. Please use your official University of Sydney, university or research organisation email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc 2022-11-10 12:00:00 UTC 2022-11-10 13:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Vocabulary Symposium 2022

    14 - 15 November 2022

    Acton, Australia

    Vocabulary Symposium 2022 https://dresa.org.au/events/vocabulary-symposium-2022 A symposium to raise awareness of vocabulary and classification use in Australia and to share current experiences and future requirements. 2022-11-14 10:00:00 UTC 2022-11-15 16:00:00 UTC ARDC, ADA and CODATA ANU Research School of Social Sciences (RSSS), 146 Ellery Crescent, Acton, Australia ANU Research School of Social Sciences (RSSS), 146 Ellery Crescent Acton Australia 2601 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 420 conference open_to_all []
  • RNA-Seq Analysis using Galaxy

    15 November 2022

    RNA-Seq Analysis using Galaxy https://dresa.org.au/events/rna-seq-analysis-using-galaxy This hands-on workshop introduces the concepts of RNA-Seq analysis, from data preparation through to statistical testing for differential gene expression, along with more advanced topics such as graphical summaries of data and functional analysis. The workshop will be based in Galaxy, a platform that provides a simple and user-friendly interface to bioinformatics tools. 2022-11-15 09:00:00 UTC 2022-11-15 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Data Storytelling

    16 November 2022

    Data Storytelling https://dresa.org.au/events/data-storytelling-458a1a9f-b7c9-4ed0-97cc-821ecd6d55dc Research communication is much more than just writing journal papers; to maximise the impact of your work, it's vital that you make your research findings accessible and engaging to a wide audience. Data storytelling is a powerful way achieving this, by conveying your ideas in a clear and memorable way. This interactive webinar focuses on developing your data storytelling skills by introducing a range of data visualisation techniques that you can use to combine the three elements of data, visuals and narrative into a meaningful and memorable story. By using these three elements, you can weave a story about your research for an array of audiences, in a way that they will connect with and remember. 2022-11-16 13:30:00 UTC 2022-11-16 15:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all []
  • Version Control with Git

    17 November 2022

    Version Control with Git https://dresa.org.au/events/version-control-with-git-588333af-0900-4e89-83ee-f956057407ef 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. 2022-11-17 09:00:00 UTC 2022-11-17 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Linear Models 3: Advanced topics, tips and tricks

    19 October 2022

    Linear Models 3: Advanced topics, tips and tricks https://dresa.org.au/events/linear-models-3-advanced-topics-tips-and-tricks-255bce7c-f07c-41f5-ab50-de1dbf538b86 **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 (RCT’s), 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!!!** 2022-10-19 11:30:00 UTC 2022-10-19 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Statistical Model Building

    19 October 2022

    Statistical Model Building https://dresa.org.au/events/statistical-model-building-a41d5acd-9e17-4478-a400-b3a6954f19c9 This workshop examines and illustrates the key aspects and strategies of statistical model building to help you answer your research question, avoid common pitfalls, erroneous models and incorrect conclusions. Appropriate statistical model building will help you to gain knowledge as opposed to simply getting the best prediction (although that can be a goal as well). We will focus on concepts such as variable selection, multi-collinearity, interactions, selecting a model building strategy, comparing models and evaluating models. In general, these concepts are useful for any statistical model building. This workshop will provide generalised linear regression model examples. The focus will be on practical application of concepts so mathematical descriptions will be kept to a minimum. **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 @Camperdown:** Choose the "In person" ticket option. **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! 2022-10-19 14:00:00 UTC 2022-10-19 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Long-Read Assembly using Galaxy

    20 October 2022

    Long-Read Assembly using Galaxy https://dresa.org.au/events/long-read-assembly-using-galaxy This tutorial explores how long and short read data can be combined to produce a high-quality ‘finished’ bacterial genome sequence. Termed ‘hybrid assembly’, we will use read data produced from two different sequencing platforms, Illumina (short read) and Oxford Nanopore Technologies (long read), to carry out de novo genome assembly. 2022-10-20 09:00:00 UTC 2022-10-20 13:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Workflow Languages

    20 October 2022

    North Melbourne, Australia

    Introduction to Workflow Languages https://dresa.org.au/events/introduction-to-workflow-languages This workshop demonstrates how to write workflows using a workflow language. An introduction to workflow theory, implementation using the CWL language, and execution on a compute environment will be demonstrated. By the end of the session, participants will be able to write and execute basic workflows in CWL. Participants will also gain experience migrating an existing workflow from one system (Galaxy) to another (CWL). Skills learned will be easily transferable to other workflow languages (eg Nextflow) participants may want to learn in the future. 2022-10-20 10:00:00 UTC 2022-10-20 15:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of MelbourneMelbourne Bioinformatics bioinformatics-training@unimelb.edu.au [] researchersbioinformatitions 20 workshop host_institution CWLWorkflows
  • Exploring and Predicting using Linear Regression with SPSS

    21 October 2022

    Exploring and Predicting using Linear Regression with SPSS https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-with-spss-5946f0f9-6922-4c75-913f-c65ea56febca 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. 2022-10-21 09:00:00 UTC 2022-10-21 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: Plotting and Programming with Python

    24 - 27 October 2022

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-1e428191-2e5f-4fee-9382-ff297c340b48 This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2022-10-24 09:00:00 UTC 2022-10-27 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • AgReFed Data Harvester Workshop

    25 October 2022

    AgReFed Data Harvester Workshop https://dresa.org.au/events/agrefed-data-harvester-workshop ### Sydney Informatics Hub presents: ## AgReFed Data-Harvester Workshop for R users The AgReFed Data-Harvester enables reusable workflows for data downloads, feature extraction and spatial-temporal processing of ecological and environmental data into ready-made datasets for machine learning and geospatial insight. ### In this hands-on workshop, we will showcase: 1. Automatic download and extraction of: - Landsat/Sentinel data via Google Earth Engine (e.g., seasonal NDVI) - National calibrated Landsat/Sentinel data via Digital Earth Australia (DEA) Geoscience Earth Observations - Soil and Landscape Grid of Australia (SLGA) - SILO Climate Database (e.g., temperature, rainfall) - National Digital Elevation Model (DEM) 1 arcsec - Radiometric Data 2. Spatial and temporal extraction and processing from obtained datasets 3. Visualisation of data layers and satellite images from Google Earth Engine 4. Cloud-coverage masking for satellite image processing 5. Wrangling points of interest into a machine learning-friendly format ### ### Target audience: This workshop will be of interest to researchers and students in Agriculture, Environmental Science, Geosciences, as well as others interested in working with geo-spatial datasets, especially via spatio-temporal processing of open environmental and satellite-derived data. Additionally, anyone interested in joining an early-phase open-source project are encouraged to come and help develop! ### ### Workshop format: 3 hours online (with breaks). Registered attendees will receive a Zoom link closer to the date. ### ### Pre-requisites: A basic knowledge of R and RStudio is highly recommended; familiarity with tidyverse libraries will be advantageous. An interactive online RStudio environment will be provided for all users for the workshop (with installation instructions provided for those wishing to run things locally). **Note:** The AgReFed Data-Harvester is accessible via both _R_ and _Python_. If you would like to attend a Python workshop instead of (or in addition to) the R stream, please let us know of your interest by entering your email here: [https://sydney.au1.qualtrics.com/jfe/form/SV\_9TUKiEjaNEFPifk](https://sydney.au1.qualtrics.com/jfe/form/SV_9TUKiEjaNEFPifk) ### ### For more information:  sih.training@sydney.edu.au  2022-10-25 09:30:00 UTC 2022-10-25 12:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Learn to Program: R at LTU Online

    25 - 26 October 2022

    Learn to Program: R at LTU Online https://dresa.org.au/events/learn-to-program-r-at-ltu-online-beb66166-f464-46cc-b6a2-c2e9d886b32f R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2022-10-25 09:30:00 UTC 2022-10-26 12:30:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Machine Learning using R: Introduction & Linear Regression at Western Sydney: Online

    25 - 26 October 2022

    Introduction to Machine Learning using R: Introduction & Linear Regression at Western Sydney: Online https://dresa.org.au/events/introduction-to-machine-learning-using-r-introduction-linear-regression-at-western-sydney-online Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the R programming language and its scientific computing packages. #### You'll learn: - 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 R and and its relevant packages to process real datasets, train and apply Machine Learning models #### Prerequisites: - Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [Data Manipulation in R](https://intersect.org.au/training/course/r201/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [Data Manipulation and Visualisation in R](https://intersect.org.au/training/course/r203/)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 R syntax and basic programming concepts and familiarity with dplyr, tidyr and ggplot2 packages. - Maths knowledge is not required. There are only a few Math formula that you are going to see in this course, however references to Mathematics required for learning about Machine Learning will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. #### 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 R workshops: - Introduction to Machine Learning using R: Introduction & Linear Regression - Introduction to Machine Learning using R: Classification - Introduction to Machine Learning using R: SVM & Unsupervised Learning **For more information, please click [here](https://intersect.org.au/training/course/r205).** 2022-10-25 09:30:00 UTC 2022-10-26 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • ARDC Leadership Series: Industry and Research Sector Forum

    26 October 2022

    Fitzroy, Australia

    ARDC Leadership Series: Industry and Research Sector Forum https://dresa.org.au/events/ardc-leadership-series-industry-and-research-sector-forum The ARDC leadership series provides leaders & decision makers with an opportunity to work through data challenges impacting researchers. 2022-10-26 13:00:00 UTC 2022-10-26 15:30:00 UTC Australian Research Data Commons 425 Smith Street, Fitzroy, Australia 425 Smith Street Fitzroy Australia 3065 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 400 [] open_to_all Business & ProfessionalOther
  • Traversing t tests in R at UC Online

    26 October 2022

    Traversing t tests in R at UC Online https://dresa.org.au/events/traversing-t-tests-in-r-at-uc-online-bab6108f-da9b-4b3a-9c4d-1c9dc9541436 R has become a popular programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. The primary goal of this workshop is to familiarise you with basic statistical concepts in R from reading in and manipulating data, checking assumptions, statistical tests and visualisations. This is not an advanced statistics course, but is instead designed to gently introduce you to statistical comparisons and hypothesis testing in R. #### You'll learn: - Read in and manipulate data - Check assumptions of t tests - Perform one-sample t tests - Perform two-sample t tests (Independent-samples, Paired-samples) - Perform nonparametric t tests (One-sample Wilcoxon Signed Rank test, Independent-samples Mann-Whitney U test) #### Prerequisites: This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts. Please consider attending Intersect's following courses to get up to speed: [Learn to Program: R](https://intersect.org.au/training/course/r101/), [Data Manipulation and Visualisation in R](https://intersect.org.au/training/course/r203/) **For more information, please click [here](https://intersect.org.au/training/course/r211).** 2022-10-26 13:30:00 UTC 2022-10-26 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Introduction to R for biologists

    27 October 2022

    North Melbourne, Australia

    Introduction to R for biologists https://dresa.org.au/events/introduction-to-r-for-biologists-49a52478-709d-4e02-8361-e891f7fcab67 This workshop has been developed collaboratively by training specialists at Peter MacCallum Cancer Center and Melbourne Bioinformatics. This introduction to R and RStudio will provide beginners with experience with loading, manipulating and visualising biological data using the tidyverse collection of R packages. The example data used is publicly available RNA-seq data, therefore attendees will gain experience in the structure and appearance of RNA-seq data. 2022-10-27 10:00:00 UTC 2022-10-27 13:00:00 UTC Melbourne Bioinformatics 21 Bedford Street, North Melbourne, Australia 21 Bedford Street North Melbourne Australia 3051 University of Melbourne bioinformatics-training@unimelb.edu.au [] beginnersLife scientists planning or running single cell RNAseq experiments (or mining public data), who want to perform their own analyses.Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop host_institution RIntroductoryRNASeq
  • Structural Equation Modelling using Stata: Online

    28 - 29 October 2022

    Structural Equation Modelling using Stata: Online https://dresa.org.au/events/structural-equation-modelling-using-stata-online This course is designed for participants with an introductory-level understanding of the statistical methods of regression analysis and exploratory factor analysis. Participants will experience hands-on SEM examples and have the ability to build their own Stata SEM models. This workshop is targeted at those researchers who wish to expand their understanding of this highly powerful technique. SEM has been utilised in many areas of research from psychology to medicine. 2022-10-28 09:00:00 UTC 2022-10-29 17:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingSEMStatisticsSTATA
  • Data Retention Project Phase 4: Information Sessions

    28 October 2022

    Data Retention Project Phase 4: Information Sessions https://dresa.org.au/events/data-retention-project-phase-4-information-sessions-7f4730e7-ab73-4042-a63f-64cca443f86d Data Retention Programme Phase 4 : Information Session 2022-10-28 16:00:00 UTC 2022-10-28 17:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 50 [] open_to_all Science & Technology
  • Learn to Program: R at UNE Online

    1 November 2022

    Learn to Program: R at UNE Online https://dresa.org.au/events/learn-to-program-r-at-une-online-229a8af3-d2ae-4c3b-9d55-7ff6480151c0 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2022-11-01 09:30:00 UTC 2022-11-01 12:30:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UNE Online

    2 November 2022

    Learn to Program: R at UNE Online https://dresa.org.au/events/learn-to-program-r-at-une-online-9b5a36c5-5959-44ee-bc5d-9547df1a7105 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2022-11-02 09:30:00 UTC 2022-11-02 12:30:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []
  • Databases and SQL at UC Online

    2 November 2022

    Databases and SQL at UC Online https://dresa.org.au/events/databases-and-sql-at-uc-online-b9027427-eb6d-4704-b7e6-08c5b409678a A relational database is an extremely efficient, fast and widespread means of storing structured data, and Structured Query Language (SQL) is the standard means for reading from and writing to databases. Databases use multiple tables, linked by well-defined relationships, to store large amounts of data without needless repetition while maintaining the integrity of your data. Moving from spreadsheets and text documents to a structured relational database can be a steep learning curve, but one that will reward you many times over in speed, efficiency and power. Developed using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Understand and compose a query using SQL - Use the SQL syntax to select, sort and filter data - Calculate new values from existing data - Aggregate data into sums, averages, and other operations - Combine data from multiple tables - Design and build your own relational databases #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/sql101).** 2022-11-02 09:30:00 UTC 2022-11-02 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Statistical Comparisons using R

    3 November 2022

    Statistical Comparisons using R https://dresa.org.au/events/statistical-comparisons-using-r-3f590752-7f5f-41dc-8f5b-67679f9fc3eb 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 R. 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. 2022-11-03 09:00:00 UTC 2022-11-03 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • NVivo Essentials: Online

    3 - 4 November 2022

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online NVivo is computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information, (including interviews, open-ended survey responses, picture/audio/video data, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required. This workshop is aimed at providing researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be working on or about to embark on a research project. The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users. 2022-11-03 09:30:00 UTC 2022-11-04 16:30:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsText Analyticsmultimedia analysis NVivo
  • Introduction to Machine Learning using Python: Introduction & Linear Regression at Western Sydney: Online

    3 - 4 November 2022

    Introduction to Machine Learning using Python: Introduction & Linear Regression at Western Sydney: Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-western-sydney-online 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).** 2022-11-03 09:30:00 UTC 2022-11-04 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Gadi

    3 November 2022

    Introduction to Gadi https://dresa.org.au/events/introduction-to-gadi-636c0878-fd14-40f9-9fbc-9a414ab055c4 Introduction to Gadi is designed for new users, or users that want a refresher on the basics of Gadi. 2022-11-03 14:00:00 UTC 2022-11-03 16:00:00 UTC NCI NCI training.nci@anu.edu.au [] [] [] open_to_all []
  • Databasing Clinic (Australia)

    4 November 2022

    Databasing Clinic (Australia) https://dresa.org.au/events/databasing-clinic-australia-d75cf825-66a9-475c-af01-df5a41a387ab 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. 2022-11-04 04:30:00 UTC 2022-11-04 06:00:00 UTC Heurist Network Online Online Heurist Network info@heuristnetwork.org [] [] [] open_to_all AdvancedIntroductoryTraining
  • Working with Sensitive Data

    7 November 2022

    Working with Sensitive Data https://dresa.org.au/events/working-with-sensitive-data-f355528c-7120-4178-91cd-18d450aa1335 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. 2022-11-07 09:00:00 UTC 2022-11-07 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all []
  • Introduction to SPSS

    9 November 2022

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-cf6c58b1-3443-4482-b0e6-a142a7f38a37 This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Participants will learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical testing using SPSS. 2022-11-09 09:00:00 UTC 2022-11-09 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Questionnaire Design: Online

    10 - 11 November 2022

    Questionnaire Design: Online https://dresa.org.au/events/questionnaire-design-online This two day workshop will focus on questionnaire design: types of questions, types of response categories, open versus closed ended questions, questionnaire layout and order of questions and questioning, common mistakes, pilot testing and specific issues such as “The importance of Cover Design.” The workshop includes practice designing the layout of surveys and practice critiquing and writing questions and responses. Topics that are covered include uses of surveys, constructing survey questions that are clear and unbiased, the need to match attitudinal or behavioral data collection with the purpose of the survey, and combining objective and open-ended questioning in order to enhance the usability of results. Types of data that can be collected in surveys will be covered, as well common mistakes made with surveys. The use of an internet survey tool will be demonstrated. 2022-11-10 10:00:00 UTC 2022-11-11 16:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Questionnaire designsurvey designsurvey instrumentssurvey research
  • Analysing conversation and social media data with the ATAP Discursis tool

    10 November 2022

    Analysing conversation and social media data with the ATAP Discursis tool https://dresa.org.au/events/analysing-conversation-and-social-media-data-with-the-atap-discursis-tool **This is the registration page for SIH's 1.5 hour long webinar on "Analysing conversation and social media data with the ATAP Discursis tool", run by the Sydney Informatics Hub.** \*\*\* The Australian Text Analytics Platform (ATAP) project aims to provide researchers with the tools and training for analysing, processing, and exploring text. As part of ATAP, we've developed a new online version of Discursis, a tool for analyzing topics, concepts and engagement in a conversation. In this workshop, we'll look at how we can use Discursis to analyse conversation and discourse transcripts. Discursis gives insights into how speakers in a conversation bring up, repeat, and engage with concepts across time, providing interactive visualisations that summarize these patterns. These same analyses can also be applied to social media data. The workshop will be a hands-on session, working with Discursis via an interactive notebook. This 1.5-hour online workshop will be of interest to researchers and HDR students in Linguistics, Business, Law and Science and others who are interested in working with text datasets - no background knowledge of NLP or coding experience is required. \*\*\* **Attendance options:** Online: This is a Zoom webinar ONLY. 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 universities and other research organisations across Australia and New Zealand. Please use your official University of Sydney, university or research organisation email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc 2022-11-10 12:00:00 UTC 2022-11-10 13:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Vocabulary Symposium 2022

    14 - 15 November 2022

    Acton, Australia

    Vocabulary Symposium 2022 https://dresa.org.au/events/vocabulary-symposium-2022 A symposium to raise awareness of vocabulary and classification use in Australia and to share current experiences and future requirements. 2022-11-14 10:00:00 UTC 2022-11-15 16:00:00 UTC ARDC, ADA and CODATA ANU Research School of Social Sciences (RSSS), 146 Ellery Crescent, Acton, Australia ANU Research School of Social Sciences (RSSS), 146 Ellery Crescent Acton Australia 2601 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 420 conference open_to_all []
  • RNA-Seq Analysis using Galaxy

    15 November 2022

    RNA-Seq Analysis using Galaxy https://dresa.org.au/events/rna-seq-analysis-using-galaxy This hands-on workshop introduces the concepts of RNA-Seq analysis, from data preparation through to statistical testing for differential gene expression, along with more advanced topics such as graphical summaries of data and functional analysis. The workshop will be based in Galaxy, a platform that provides a simple and user-friendly interface to bioinformatics tools. 2022-11-15 09:00:00 UTC 2022-11-15 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Data Storytelling

    16 November 2022

    Data Storytelling https://dresa.org.au/events/data-storytelling-458a1a9f-b7c9-4ed0-97cc-821ecd6d55dc Research communication is much more than just writing journal papers; to maximise the impact of your work, it's vital that you make your research findings accessible and engaging to a wide audience. Data storytelling is a powerful way achieving this, by conveying your ideas in a clear and memorable way. This interactive webinar focuses on developing your data storytelling skills by introducing a range of data visualisation techniques that you can use to combine the three elements of data, visuals and narrative into a meaningful and memorable story. By using these three elements, you can weave a story about your research for an array of audiences, in a way that they will connect with and remember. 2022-11-16 13:30:00 UTC 2022-11-16 15:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all []
  • Version Control with Git

    17 November 2022

    Version Control with Git https://dresa.org.au/events/version-control-with-git-588333af-0900-4e89-83ee-f956057407ef 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. 2022-11-17 09:00:00 UTC 2022-11-17 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

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