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  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series 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

  • Getting started with HPC using PBS Pro at La Trobe Online

    7 - 8 June 2023

    Getting started with HPC using PBS Pro at La Trobe Online https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-la-trobe-online Is your computer's limited power throttling your research ambitions? Are your analysis scripts pushing your laptop's processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro. #### You'll learn: - Connect to an HPC cluster - Use the Unix command line to operate a remote computer and create job scripts - Submit and manage jobs on a cluster using a scheduler - Transfer files to and from a remote computer - Use software through environment modules - Use parallelisation to speed up data analysis - Access the facilities available to you as a researcher - This is the PBS Pro version of the Getting Started with HPC course. #### Prerequisites: This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our [Unix Shell and Command Line Basics](https://intersect.org.au/training/course/unix101/) course. **For more information, please click [here](https://intersect.org.au/training/course/hpc201).** 2023-06-07 10:00:00 UTC 2023-06-08 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at UC Online

    7 - 8 June 2023

    Learn to Program: Python at UC Online https://dresa.org.au/events/learn-to-program-python-at-uc-online-9a9ededa-39cb-49e8-882d-4200f70c194f Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### 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/python101).** 2023-06-07 13:30:00 UTC 2023-06-08 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation and Visualisation in Python at DPE Online

    7 - 8 June 2023

    Data Manipulation and Visualisation in Python at DPE Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-dpe-online-e12b1cc2-94a4-4d2d-89f3-98865f27df5a 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).** 2023-06-07 13:30:00 UTC 2023-06-08 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []

  • Data Entry and Processing in SPSS at UNE Online

    8 - 9 June 2023

    Data Entry and Processing in SPSS at UNE Online https://dresa.org.au/events/data-entry-and-processing-in-spss-at-une-online-150553c9-2d7c-4670-a2b8-e4d6bb72f8c1 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).** 2023-06-08 09:00:00 UTC 2023-06-09 12:00:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []

  • Intro to REDCap (webinar)

    8 June 2023

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar-d306dfb0-cbd7-4bec-ac79-a2bd9035f746 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. 2023-06-08 10:00:00 UTC 2023-06-08 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Learn to Program: Python at UC Online

    8 June 2023

    Learn to Program: Python at UC Online https://dresa.org.au/events/learn-to-program-python-at-uc-online-fa5c76d3-cb7a-4961-9442-947f440137ef Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### 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/python101).** 2023-06-08 13:30:00 UTC 2023-06-08 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation and Visualisation in Python at DPE Online

    8 June 2023

    Data Manipulation and Visualisation in Python at DPE Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-dpe-online-52e4e14b-1c11-4d52-887f-f6f59260d207 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).** 2023-06-08 13:30:00 UTC 2023-06-08 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []

  • Introduction to SPSS

    9 June 2023

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-623ba3a9-87b3-49be-989f-d9727f6cab90 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. 2023-06-09 09:00:00 UTC 2023-06-09 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    12 - 15 June 2023

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-ce6814db-00aa-4023-9b34-f915d2fdaad3 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. 2023-06-12 09:00:00 UTC 2023-06-15 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Basic Statistics with R

    13 - 14 June 2023

    Basic Statistics with R https://dresa.org.au/events/basic-statistics-with-r-94488cbe-e738-4cc8-b76e-07209f9d64bc Hybrid two day workshop both online and in person options. Learn a simple yet powerful way to design and carry out analyses in R in this 2-day introductory workshop. What is R? R is a free software package for statistical computing and graphics. Basic Statistics with R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-06-13 09:00:00 UTC 2023-06-14 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Bundoora, Australia Physical sciences 2 Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students workshop open_to_all []

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

    13 - 14 June 2023

    Introduction to Machine Learning using Python: Classification at Deakin Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification-at-deakin-online-ac9ca4b5-5944-4fc7-8b40-9cc88d815c8b Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. - Know the differences between various core Machine Learning models. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/), [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) and [Introduction to ML using Python: Introduction & Linear Regression](https://intersect.org.au/training/course/python205/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/), [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) and [Introduction to ML using Python: Introduction & Linear Regression](https://intersect.org.au/training/course/python205/) needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. #### 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/python206).** 2023-06-13 09:30:00 UTC 2023-06-14 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at DPE Online

    13 June 2023

    Learn to Program: R at DPE Online https://dresa.org.au/events/learn-to-program-r-at-dpe-online-4cc1bf2a-64ef-4715-80ac-5989cccf9cd5 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).** 2023-06-13 09:30:00 UTC 2023-06-13 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at DPE Online

    13 June 2023

    Learn to Program: R at DPE Online https://dresa.org.au/events/learn-to-program-r-at-dpe-online 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).** 2023-06-13 13:30:00 UTC 2023-06-13 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation in R at UNSW Online

    13 June 2023

    Data Manipulation in R at UNSW Online https://dresa.org.au/events/data-manipulation-in-r-at-unsw-online-1fc6dd79-550c-42b0-b821-de3fc262333b 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). 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 #### 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/r201).** 2023-06-13 13:30:00 UTC 2023-06-13 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows at UC Online

    14 June 2023

    Getting started with NVivo for Windows at UC Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-uc-online-dbb915b8-e115-46fb-aef9-fd558e4fc6e4 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).** 2023-06-14 09:30:00 UTC 2023-06-14 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in R at UNSW Online

    14 June 2023

    Data Visualisation in R at UNSW Online https://dresa.org.au/events/data-visualisation-in-r-at-unsw-online-16a0495f-3314-4cbd-a320-c35284f8e29f 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 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: - 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. We also strongly recommend attending the [Data Manipulation in R](https://intersect.org.au/training/course/r201/) course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2023-06-14 09:30:00 UTC 2023-06-14 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • WEBINAR: Genomic data - improving discovery and access management

    14 June 2023

    WEBINAR: Genomic data - improving discovery and access management https://dresa.org.au/events/webinar-genomic-data-improving-discovery-and-access-management Australian human genome initiatives are generating vast amounts of human genome data to understand the cause of complex diseases, improve diagnosis / early disease detection and identify tailored treatment options. To achieve this, genomic data needs to be compared between multiple individuals and cohorts, often across efforts/jurisdictions, at national or global scales, and requires the genomic data to be findable, searchable, shareable, and linkable to analytical capabilities. The[ Human Genome Platform Project](https://www.biocommons.org.au/hgpp) aims to make it as easy as possible to securely and responsibly share human genome research data nationally and internationally. The project is building a ‘services toolbox’ that combines best practice technologies in human genome data sharing. In this webinar the project team will discuss two important aspects of human genomic data sharing 1. the discovery of genomic cohorts and the GA4GH Beacon protocol that enables this functionality across multiple sites 2. the access management process whereby access to cohorts can be signed off by a responsible data access committees - and the REMS software system in place at the Garvan for doing this **Speakers:** Dr Christina Hall, Associate Director Training and Communications, Australian BioCommons Dr Andrew Patterson, Human Genomics Data Technology Lead, University of Melbourne Mustafa Syed, Bioinformatics System Integration Manager, Children’s Cancer Institute Associate Professor, Sarah Kummerfeld, Director - Data Science, Garvan Institute of Medical Research **Who the webinar is for:** This webinar is for people who are interested in implementation of a similar system for secure and responsible data sharing whether that be for genomics or other applications. **How to join:** This webinar is free to join but you must register for a place in advance. [Register here](https://unimelb.zoom.us/webinar/register/WN_dcRdDROyRquatiZhU6U7wQ) 2023-06-14 12:00:00 UTC 2023-06-14 13:00:00 UTC Australian BioCommons Australian BioCommons training@biocommons.org.au [] [] 500 webinar open_to_all Human genomicsAccess management sensitive dataGenomicsClinical dataGA4GH

  • Learn to Program: R at DPE Online

    14 June 2023

    Learn to Program: R at DPE Online https://dresa.org.au/events/learn-to-program-r-at-dpe-online-11e9d347-a41e-4da8-80c4-e0c5ae9dda83 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).** 2023-06-14 13:30:00 UTC 2023-06-14 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []

  • Surveys in REDCap (webinar)

    15 June 2023

    Surveys in REDCap (webinar) https://dresa.org.au/events/surveys-in-redcap-webinar-72fc0d9f-7193-42b6-9e47-81f2ae7f1bc4 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 "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **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. 2023-06-15 10:00:00 UTC 2023-06-15 12:00:00 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 La Trobe Online

    15 June 2023

    Getting started with NVivo for Windows at La Trobe Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-la-trobe-online 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).** 2023-06-15 10:00:00 UTC 2023-06-15 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • New to Nectar Cloud Community meetup

    15 June 2023

    New to Nectar Cloud Community meetup https://dresa.org.au/events/new-to-nectar-cloud-community-meetup A meetup introducing the Nectar Cloud and answering key questions for researchers new to Cloud Computing. 2023-06-15 13:00:00 UTC 2023-06-15 14:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 100 meeting open_to_all Science & TechnologyHigh Tech

  • Introduction to Unix

    19 June 2023

    Introduction to Unix https://dresa.org.au/events/introduction-to-unix-047716a2-c5d1-4134-a943-f563862e317e The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including 'high-performance computing' supercomputers). This Software Carpentry workshop will start you on a path towards using these resources effectively. 2023-06-19 09:00:00 UTC 2023-06-19 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • WORKSHOP: Translating workflows into Nextflow with Janis

    19 June 2023

    WORKSHOP: Translating workflows into Nextflow with Janis https://dresa.org.au/events/workshop-translating-workflows-into-nextflow-with-janis Bioinformatics workflows are critical for reproducibly transferring methodologies between research groups and for scaling between computational infrastructures. Research groups currently invest a lot of time and effort in creating and updating workflows; the ability to translate from one workflow language into another can make them easier to share, and maintain with minimal effort. For example, research groups that would like to run an existing Galaxy workflow on HPC, or extend it for their use, might find translating the workflow to Nextflow more suitable for their ongoing use-cases. [Janis](https://janis.readthedocs.io/en/latest/index.html#) is a framework that provides an abstraction layer for describing workflows, and a tool that can translate workflows between existing languages such as CWL, WDL, Galaxy and Nextflow. Janis aims to translate as much as it can, leaving the user to validate the workflow and make small manual adjustments where direct translations are not possible. Originating from the Portable Pipelines Project between[ Melbourne Bioinformatics](https://www.melbournebioinformatics.org.au/), the[ Peter MacCallum Cancer Centre](https://www.petermac.org/), and the[ Walter and Eliza Hall Institute of Medical Research](https://www.wehi.edu.au/), this tool is now available for everyone to use. This workshop provides an introduction to Janis and how it can be used to translate Galaxy and CWL based tools and workflows into Nextflow. Using hands-on examples we’ll step you through the process and demonstrate how to optimise, troubleshoot and test the translated workflows. **Learning outcomes:** By the end of the workshop you should be able to: * Recognise the main aspects and benefits of workflow translation * Use Janis to translated Galaxy / CWL tools & workflows to Nextflow * Configure Nextflow to run translated tools & workflows * Troubleshoot translated Nextflow tools & workflow * Adjust the translated Nextflow tools / workflows & complete missing translations manually **Lead Trainers:** Grace Hall, Software Engineer, Melbourne Bioinformatics Richard Lupat, Senior Bioinformatics Software Engineer, Peter MacCallum Cancer Centre **Date/Time**: 19 June 2023, 1 - 4:30pm AEST/12:30 - 4:00pm ACST /11am - 2:30pm AWST **Format:** This workshop will take place online. Expert trainers will introduce new topics and guide you through hands-on activities in breakout rooms to help you put your new skills into action. **Who the workshop is for:** This workshop is for Australian researchers and bioinformaticians who are using and/or customising workflows. You must be associated with an Australian organisation for your application to be considered. The workshop will be conducted in a Unix environment. Command line experience is required. Prior experience with developing, running, and troubleshooting Nextflow workflows is strongly recommended. You may wish to attend our workshop[ Unlocking nf-core - customising workflows for your research](https://www.biocommons.org.au/events/custom-nfcore) in advance. If you’re looking for an introduction to the fundamentals of Nextflow and nf-core you can watch our webinar[ Portable, reproducible and scalable bioinformatics workflows using Nextflow and Pawsey Nimbus Cloud](https://youtu.be/VnLX63yXbJU) or recordings of recent[ nf-core training](https://www.youtube.com/c/nf-core). **How to apply:** This workshop is free but participation is subject to application with selection. Applications close at **11:59pm AEST, 4 June 2023**. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our[ advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) **[Apply here](https://janis-workshop.eventbrite.com.au/)** _This workshop is presented by the[ Australian BioCommons](https://www.biocommons.org.au/) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to Australian BioCommons_ 2023-06-19 13:00:00 UTC 2023-06-19 16:30:00 UTC Australian BioCommons Australian BioCommons training@biocommons.org.au [] [] [] expression_of_interest WorkflowsNextflowGalaxyCWL

  • Statistical Comparisons using R

    20 June 2023

    Statistical Comparisons using R https://dresa.org.au/events/statistical-comparisons-using-r-f1489a71-3d96-4d64-aca1-b878e3247db5 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. 2023-06-20 09:00:00 UTC 2023-06-20 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Basic Statistics with Stata

    20 - 21 June 2023

    Basic Statistics with Stata https://dresa.org.au/events/basic-statistics-with-stata-698d56bd-4e0d-4faf-ba74-834025d5a164 Hybrid two day workshop both online and in person options. Learn a simple yet powerful way to design and carry out analyses in Stata in this 2-day introductory workshop. What is Stata? Stata is a statistical software package which is particularly popular among researchers from a diverse range of fields. Basic Statistics with Stata introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-06-20 09:00:00 UTC 2023-06-21 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Bundoora, Australia Physical sciences 2 Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students workshop open_to_all []

  • Data Manipulation in Python at UC Online

    20 June 2023

    Data Manipulation in Python at UC Online https://dresa.org.au/events/data-manipulation-in-python-at-uc-online Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. 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. 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 #### 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/python201).** 2023-06-20 09:30:00 UTC 2023-06-20 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at La Trobe Online

    20 - 21 June 2023

    Learn to Program: R at La Trobe Online https://dresa.org.au/events/learn-to-program-r-at-la-trobe-online 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).** 2023-06-20 10:00:00 UTC 2023-06-21 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in Python at UC Online

    21 June 2023

    Data Visualisation in Python at UC Online https://dresa.org.au/events/data-visualisation-in-python-at-uc-online Course Materials #### You'll learn: - 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. We also strongly recommend attending the [Data Manipulation in Python](https://intersect.org.au/training/course/python201/). **For more information, please click [here](https://intersect.org.au/training/course/python202).** 2023-06-21 09:30:00 UTC 2023-06-21 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Australian Sensitive Data IG - Sensitive Data Platforms Australia - SeRP

    21 June 2023

    Australian Sensitive Data IG - Sensitive Data Platforms Australia - SeRP https://dresa.org.au/events/australian-sensitive-data-ig-sensitive-data-platforms-australia-serp Hear from the SeRP team about their secure research environment, and what they have learned from onboarding a range of different projects. 2023-06-21 12:00:00 UTC 2023-06-21 13:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 300 [] open_to_all Science & Technology

  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series 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

  • Getting started with HPC using PBS Pro at La Trobe Online

    7 - 8 June 2023

    Getting started with HPC using PBS Pro at La Trobe Online https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-la-trobe-online Is your computer's limited power throttling your research ambitions? Are your analysis scripts pushing your laptop's processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro. #### You'll learn: - Connect to an HPC cluster - Use the Unix command line to operate a remote computer and create job scripts - Submit and manage jobs on a cluster using a scheduler - Transfer files to and from a remote computer - Use software through environment modules - Use parallelisation to speed up data analysis - Access the facilities available to you as a researcher - This is the PBS Pro version of the Getting Started with HPC course. #### Prerequisites: This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our [Unix Shell and Command Line Basics](https://intersect.org.au/training/course/unix101/) course. **For more information, please click [here](https://intersect.org.au/training/course/hpc201).** 2023-06-07 10:00:00 UTC 2023-06-08 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: Python at UC Online

    7 - 8 June 2023

    Learn to Program: Python at UC Online https://dresa.org.au/events/learn-to-program-python-at-uc-online-9a9ededa-39cb-49e8-882d-4200f70c194f Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### 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/python101).** 2023-06-07 13:30:00 UTC 2023-06-08 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation and Visualisation in Python at DPE Online

    7 - 8 June 2023

    Data Manipulation and Visualisation in Python at DPE Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-dpe-online-e12b1cc2-94a4-4d2d-89f3-98865f27df5a 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).** 2023-06-07 13:30:00 UTC 2023-06-08 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []

  • Data Entry and Processing in SPSS at UNE Online

    8 - 9 June 2023

    Data Entry and Processing in SPSS at UNE Online https://dresa.org.au/events/data-entry-and-processing-in-spss-at-une-online-150553c9-2d7c-4670-a2b8-e4d6bb72f8c1 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).** 2023-06-08 09:00:00 UTC 2023-06-09 12:00:00 UTC Intersect Australia Australia Australia UNE training@intersect.org.au [] [] [] host_institution []

  • Intro to REDCap (webinar)

    8 June 2023

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar-d306dfb0-cbd7-4bec-ac79-a2bd9035f746 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. 2023-06-08 10:00:00 UTC 2023-06-08 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

  • Learn to Program: Python at UC Online

    8 June 2023

    Learn to Program: Python at UC Online https://dresa.org.au/events/learn-to-program-python-at-uc-online-fa5c76d3-cb7a-4961-9442-947f440137ef Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### 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/python101).** 2023-06-08 13:30:00 UTC 2023-06-08 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation and Visualisation in Python at DPE Online

    8 June 2023

    Data Manipulation and Visualisation in Python at DPE Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-dpe-online-52e4e14b-1c11-4d52-887f-f6f59260d207 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).** 2023-06-08 13:30:00 UTC 2023-06-08 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []

  • Introduction to SPSS

    9 June 2023

    Introduction to SPSS https://dresa.org.au/events/introduction-to-spss-623ba3a9-87b3-49be-989f-d9727f6cab90 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. 2023-06-09 09:00:00 UTC 2023-06-09 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Introduction to Programming: R for Reproducible Scientific Analysis

    12 - 15 June 2023

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-ce6814db-00aa-4023-9b34-f915d2fdaad3 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. 2023-06-12 09:00:00 UTC 2023-06-15 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Basic Statistics with R

    13 - 14 June 2023

    Basic Statistics with R https://dresa.org.au/events/basic-statistics-with-r-94488cbe-e738-4cc8-b76e-07209f9d64bc Hybrid two day workshop both online and in person options. Learn a simple yet powerful way to design and carry out analyses in R in this 2-day introductory workshop. What is R? R is a free software package for statistical computing and graphics. Basic Statistics with R introduces statistical concepts in a non-technical way and emphasises their practical application in R. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-06-13 09:00:00 UTC 2023-06-14 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Bundoora, Australia Physical sciences 2 Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students workshop open_to_all []

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

    13 - 14 June 2023

    Introduction to Machine Learning using Python: Classification at Deakin Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification-at-deakin-online-ac9ca4b5-5944-4fc7-8b40-9cc88d815c8b Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Comprehensive introduction to Machine Learning models and techniques such as Logistic Regression, Decision Trees and Ensemble Learning. - Know the differences between various core Machine Learning models. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/), [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) and [Introduction to ML using Python: Introduction & Linear Regression](https://intersect.org.au/training/course/python205/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/), [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) and [Introduction to ML using Python: Introduction & Linear Regression](https://intersect.org.au/training/course/python205/) needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax, basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries, and basic understanding of Machine Learning and Model Training. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. #### 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/python206).** 2023-06-13 09:30:00 UTC 2023-06-14 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at DPE Online

    13 June 2023

    Learn to Program: R at DPE Online https://dresa.org.au/events/learn-to-program-r-at-dpe-online-4cc1bf2a-64ef-4715-80ac-5989cccf9cd5 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).** 2023-06-13 09:30:00 UTC 2023-06-13 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at DPE Online

    13 June 2023

    Learn to Program: R at DPE Online https://dresa.org.au/events/learn-to-program-r-at-dpe-online 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).** 2023-06-13 13:30:00 UTC 2023-06-13 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []

  • Data Manipulation in R at UNSW Online

    13 June 2023

    Data Manipulation in R at UNSW Online https://dresa.org.au/events/data-manipulation-in-r-at-unsw-online-1fc6dd79-550c-42b0-b821-de3fc262333b 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). 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 #### 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/r201).** 2023-06-13 13:30:00 UTC 2023-06-13 16:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • Getting started with NVivo for Windows at UC Online

    14 June 2023

    Getting started with NVivo for Windows at UC Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-uc-online-dbb915b8-e115-46fb-aef9-fd558e4fc6e4 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).** 2023-06-14 09:30:00 UTC 2023-06-14 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in R at UNSW Online

    14 June 2023

    Data Visualisation in R at UNSW Online https://dresa.org.au/events/data-visualisation-in-r-at-unsw-online-16a0495f-3314-4cbd-a320-c35284f8e29f 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 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: - 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. We also strongly recommend attending the [Data Manipulation in R](https://intersect.org.au/training/course/r201/) course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2023-06-14 09:30:00 UTC 2023-06-14 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []

  • WEBINAR: Genomic data - improving discovery and access management

    14 June 2023

    WEBINAR: Genomic data - improving discovery and access management https://dresa.org.au/events/webinar-genomic-data-improving-discovery-and-access-management Australian human genome initiatives are generating vast amounts of human genome data to understand the cause of complex diseases, improve diagnosis / early disease detection and identify tailored treatment options. To achieve this, genomic data needs to be compared between multiple individuals and cohorts, often across efforts/jurisdictions, at national or global scales, and requires the genomic data to be findable, searchable, shareable, and linkable to analytical capabilities. The[ Human Genome Platform Project](https://www.biocommons.org.au/hgpp) aims to make it as easy as possible to securely and responsibly share human genome research data nationally and internationally. The project is building a ‘services toolbox’ that combines best practice technologies in human genome data sharing. In this webinar the project team will discuss two important aspects of human genomic data sharing 1. the discovery of genomic cohorts and the GA4GH Beacon protocol that enables this functionality across multiple sites 2. the access management process whereby access to cohorts can be signed off by a responsible data access committees - and the REMS software system in place at the Garvan for doing this **Speakers:** Dr Christina Hall, Associate Director Training and Communications, Australian BioCommons Dr Andrew Patterson, Human Genomics Data Technology Lead, University of Melbourne Mustafa Syed, Bioinformatics System Integration Manager, Children’s Cancer Institute Associate Professor, Sarah Kummerfeld, Director - Data Science, Garvan Institute of Medical Research **Who the webinar is for:** This webinar is for people who are interested in implementation of a similar system for secure and responsible data sharing whether that be for genomics or other applications. **How to join:** This webinar is free to join but you must register for a place in advance. [Register here](https://unimelb.zoom.us/webinar/register/WN_dcRdDROyRquatiZhU6U7wQ) 2023-06-14 12:00:00 UTC 2023-06-14 13:00:00 UTC Australian BioCommons Australian BioCommons training@biocommons.org.au [] [] 500 webinar open_to_all Human genomicsAccess management sensitive dataGenomicsClinical dataGA4GH

  • Learn to Program: R at DPE Online

    14 June 2023

    Learn to Program: R at DPE Online https://dresa.org.au/events/learn-to-program-r-at-dpe-online-11e9d347-a41e-4da8-80c4-e0c5ae9dda83 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).** 2023-06-14 13:30:00 UTC 2023-06-14 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution []

  • Surveys in REDCap (webinar)

    15 June 2023

    Surveys in REDCap (webinar) https://dresa.org.au/events/surveys-in-redcap-webinar-72fc0d9f-7193-42b6-9e47-81f2ae7f1bc4 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 "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **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. 2023-06-15 10:00:00 UTC 2023-06-15 12:00:00 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 La Trobe Online

    15 June 2023

    Getting started with NVivo for Windows at La Trobe Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-la-trobe-online 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).** 2023-06-15 10:00:00 UTC 2023-06-15 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • New to Nectar Cloud Community meetup

    15 June 2023

    New to Nectar Cloud Community meetup https://dresa.org.au/events/new-to-nectar-cloud-community-meetup A meetup introducing the Nectar Cloud and answering key questions for researchers new to Cloud Computing. 2023-06-15 13:00:00 UTC 2023-06-15 14:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 100 meeting open_to_all Science & TechnologyHigh Tech

  • Introduction to Unix

    19 June 2023

    Introduction to Unix https://dresa.org.au/events/introduction-to-unix-047716a2-c5d1-4134-a943-f563862e317e The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including 'high-performance computing' supercomputers). This Software Carpentry workshop will start you on a path towards using these resources effectively. 2023-06-19 09:00:00 UTC 2023-06-19 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • WORKSHOP: Translating workflows into Nextflow with Janis

    19 June 2023

    WORKSHOP: Translating workflows into Nextflow with Janis https://dresa.org.au/events/workshop-translating-workflows-into-nextflow-with-janis Bioinformatics workflows are critical for reproducibly transferring methodologies between research groups and for scaling between computational infrastructures. Research groups currently invest a lot of time and effort in creating and updating workflows; the ability to translate from one workflow language into another can make them easier to share, and maintain with minimal effort. For example, research groups that would like to run an existing Galaxy workflow on HPC, or extend it for their use, might find translating the workflow to Nextflow more suitable for their ongoing use-cases. [Janis](https://janis.readthedocs.io/en/latest/index.html#) is a framework that provides an abstraction layer for describing workflows, and a tool that can translate workflows between existing languages such as CWL, WDL, Galaxy and Nextflow. Janis aims to translate as much as it can, leaving the user to validate the workflow and make small manual adjustments where direct translations are not possible. Originating from the Portable Pipelines Project between[ Melbourne Bioinformatics](https://www.melbournebioinformatics.org.au/), the[ Peter MacCallum Cancer Centre](https://www.petermac.org/), and the[ Walter and Eliza Hall Institute of Medical Research](https://www.wehi.edu.au/), this tool is now available for everyone to use. This workshop provides an introduction to Janis and how it can be used to translate Galaxy and CWL based tools and workflows into Nextflow. Using hands-on examples we’ll step you through the process and demonstrate how to optimise, troubleshoot and test the translated workflows. **Learning outcomes:** By the end of the workshop you should be able to: * Recognise the main aspects and benefits of workflow translation * Use Janis to translated Galaxy / CWL tools & workflows to Nextflow * Configure Nextflow to run translated tools & workflows * Troubleshoot translated Nextflow tools & workflow * Adjust the translated Nextflow tools / workflows & complete missing translations manually **Lead Trainers:** Grace Hall, Software Engineer, Melbourne Bioinformatics Richard Lupat, Senior Bioinformatics Software Engineer, Peter MacCallum Cancer Centre **Date/Time**: 19 June 2023, 1 - 4:30pm AEST/12:30 - 4:00pm ACST /11am - 2:30pm AWST **Format:** This workshop will take place online. Expert trainers will introduce new topics and guide you through hands-on activities in breakout rooms to help you put your new skills into action. **Who the workshop is for:** This workshop is for Australian researchers and bioinformaticians who are using and/or customising workflows. You must be associated with an Australian organisation for your application to be considered. The workshop will be conducted in a Unix environment. Command line experience is required. Prior experience with developing, running, and troubleshooting Nextflow workflows is strongly recommended. You may wish to attend our workshop[ Unlocking nf-core - customising workflows for your research](https://www.biocommons.org.au/events/custom-nfcore) in advance. If you’re looking for an introduction to the fundamentals of Nextflow and nf-core you can watch our webinar[ Portable, reproducible and scalable bioinformatics workflows using Nextflow and Pawsey Nimbus Cloud](https://youtu.be/VnLX63yXbJU) or recordings of recent[ nf-core training](https://www.youtube.com/c/nf-core). **How to apply:** This workshop is free but participation is subject to application with selection. Applications close at **11:59pm AEST, 4 June 2023**. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our[ advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) **[Apply here](https://janis-workshop.eventbrite.com.au/)** _This workshop is presented by the[ Australian BioCommons](https://www.biocommons.org.au/) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to Australian BioCommons_ 2023-06-19 13:00:00 UTC 2023-06-19 16:30:00 UTC Australian BioCommons Australian BioCommons training@biocommons.org.au [] [] [] expression_of_interest WorkflowsNextflowGalaxyCWL

  • Statistical Comparisons using R

    20 June 2023

    Statistical Comparisons using R https://dresa.org.au/events/statistical-comparisons-using-r-f1489a71-3d96-4d64-aca1-b878e3247db5 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. 2023-06-20 09:00:00 UTC 2023-06-20 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

  • Basic Statistics with Stata

    20 - 21 June 2023

    Basic Statistics with Stata https://dresa.org.au/events/basic-statistics-with-stata-698d56bd-4e0d-4faf-ba74-834025d5a164 Hybrid two day workshop both online and in person options. Learn a simple yet powerful way to design and carry out analyses in Stata in this 2-day introductory workshop. What is Stata? Stata is a statistical software package which is particularly popular among researchers from a diverse range of fields. Basic Statistics with Stata introduces statistical concepts in a non-technical way and emphasises their practical application in Stata. The workshop will provide plenty of opportunities to gain hands-on experience and to access in-class support. 2023-06-20 09:00:00 UTC 2023-06-21 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical sciences 2, Bundoora, Australia Physical sciences 2 Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students workshop open_to_all []

  • Data Manipulation in Python at UC Online

    20 June 2023

    Data Manipulation in Python at UC Online https://dresa.org.au/events/data-manipulation-in-python-at-uc-online Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. 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. 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 #### 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/python201).** 2023-06-20 09:30:00 UTC 2023-06-20 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Learn to Program: R at La Trobe Online

    20 - 21 June 2023

    Learn to Program: R at La Trobe Online https://dresa.org.au/events/learn-to-program-r-at-la-trobe-online 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).** 2023-06-20 10:00:00 UTC 2023-06-21 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []

  • Data Visualisation in Python at UC Online

    21 June 2023

    Data Visualisation in Python at UC Online https://dresa.org.au/events/data-visualisation-in-python-at-uc-online Course Materials #### You'll learn: - 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. We also strongly recommend attending the [Data Manipulation in Python](https://intersect.org.au/training/course/python201/). **For more information, please click [here](https://intersect.org.au/training/course/python202).** 2023-06-21 09:30:00 UTC 2023-06-21 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []

  • Australian Sensitive Data IG - Sensitive Data Platforms Australia - SeRP

    21 June 2023

    Australian Sensitive Data IG - Sensitive Data Platforms Australia - SeRP https://dresa.org.au/events/australian-sensitive-data-ig-sensitive-data-platforms-australia-serp Hear from the SeRP team about their secure research environment, and what they have learned from onboarding a range of different projects. 2023-06-21 12:00:00 UTC 2023-06-21 13:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 300 [] open_to_all Science & Technology

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