Register event
Subscribe to Filter
Importing into Google Calendar
In the left-hand column of the Google Calendar main view, click the arrow to the right of "Other calendars" and click "Add by URL". In the form that appears, paste in the URL from the box above, and click the button to confirm.
Please note, it may take a while for newly created events in DReSA to synchronise with your Google Calendar.
77 event found
Country: Australia
-
Keeping Archives Online Learning Series
1 July 2016 - 31 December 2025
Keeping Archives Online Learning Series https://www.archivists.org.au/learning-publications/online-courses#KA https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping -
Basic Statistics with R
13 - 14 June 2023
Basic Statistics with R https://latrobe.xetta.com/LTUEv/booking?e=SHE_EV379 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://intersect.org.au/training/schedule 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://intersect.org.au/training/schedule 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://intersect.org.au/training/schedule 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://intersect.org.au/training/schedule 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 [] -
Data Visualisation in R at UNSW Online
14 June 2023
Data Visualisation in R at UNSW Online https://intersect.org.au/training/schedule 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 [] -
Getting started with NVivo for Windows at UC Online
14 June 2023
Getting started with NVivo for Windows at UC Online https://intersect.org.au/training/schedule 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 [] -
Learn to Program: R at DPE Online
14 June 2023
Learn to Program: R at DPE Online https://intersect.org.au/training/schedule 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://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html 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://intersect.org.au/training/schedule 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 [] -
Basic Statistics with Stata
20 - 21 June 2023
Basic Statistics with Stata https://latrobe.xetta.com/LTUEv/booking?e=SHE_EV380 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://intersect.org.au/training/schedule 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://intersect.org.au/training/schedule 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 [] -
National PID Strategy and Roadmap Workshop - hybrid event
20 June 2023
ACTON, Australia
National PID Strategy and Roadmap Workshop - hybrid event https://www.eventbrite.com.au/e/national-pid-strategy-and-roadmap-workshop-hybrid-event-tickets-635211403407 https://dresa.org.au/events/national-pid-strategy-and-roadmap-workshop-hybrid-event-b374f4c2-dbd5-4431-83d8-b2ffee99ab68 Join the ARDC in shaping the collaborative development of a National PID Strategy and Roadmap to accelerate research and innovation. 2023-06-20 10:00:00 UTC 2023-06-20 15:00:00 UTC Australian Research Data Commons The Australian National University, 2 McDonald Place, ACTON, Australia The Australian National University, 2 McDonald Place ACTON Australia 2601 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 350 [] open_to_all Business & Professional -
Data Visualisation in Python at UC Online
21 June 2023
Data Visualisation in Python at UC Online https://intersect.org.au/training/schedule 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 [] -
ACCS Q&A session: Optimisation and automation of microscopy workflows for near-real-time data assessment and visualisation
22 June 2023
ACCS Q&A session: Optimisation and automation of microscopy workflows for near-real-time data assessment and visualisation https://imagingtools.au/events-calendar/optimisation-of-microscopy-workflows https://dresa.org.au/events/accs-q-a-session-optimisation-and-automation-of-microscopy-workflows-for-near-real-time-data-assessment-and-visualisation Over the last few years, technological progress and optimisation of workflows at the Cryogenic Electron Microscopy at the University of Wollongong have enabled instrument scientists and researchers to assess the quality of cryoEM datasets in minutes rather than days. Much of this near-real-time data revolution has been made possible by automating and optimising a range of tasks involved in the early steps of data capture from microscopes. In this presentation, Joshua Silver will explain how existing workflows were reassessed in order to enable the near-real-time assessment and visualisation of cryoEM data. In particular, he will highlight the challenges that needed to be overcome. Finally, Josh will show how the lessons learnt in optimising and automating cryoEM workflows can be applied to other instruments and workflows from data capture through to transfer, processing and visualisation. This work was undertaken as part of the Australian Characterisation Commons at Scale (ACCS) project, under Work Package 4: “Big-data electron and correlative microscopy from instrument to publication”. Note: This event will consist of a 15–20 min presentation by Josh followed by a 40 min discussion/Q&A. 2023-06-22 14:00:00 UTC 2023-06-22 15:00:00 UTC ACCS Brisbane, Australia Brisbane Australia The Australian Characterisation Commons at Scale (ACCS) Dr Sara Motamen, ACCS Training and Community Engagement Manager (s.motamen@anif.org.au) [] [] [] open_to_all EducationcommunityCharacterisationtrainingtraining materialdataData analysisdata processingoptimisationautomationWorkflowsElectron MicroscopyMicroscopyCryoEMLiberTEM microscopeportalCryoSPARC -
Intermediate Statistics with R: Regression Analysis
26 - 27 June 2023
Intermediate Statistics with R: Regression Analysis https://latrobe.xetta.com/LTUEv/booking?e=SHE_EV381 https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis-3a9f266f-8022-46ba-8a88-d63f7c5463d0 Hybrid two day workshop both online and in person options. Learn about different regression models and how to carry out their analyses in R in this 2-day intermediate workshop. What is R?R is a free software package for statistical computing and graphics. Intermediate Statistics with R introduces various types of regression models 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. 2023-06-26 09:00:00 UTC 2023-06-27 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 Visualisation in Python at UC Online
27 June 2023
Data Visualisation in Python at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-visualisation-in-python-at-uc-online-1f89f701-1992-4011-bc11-21962db081c9 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).** 2023-06-27 09:30:00 UTC 2023-06-27 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning using Python: SVM & Unsupervised Learning at Deakin Online
27 June 2023
Introduction to Machine Learning using Python: SVM & Unsupervised Learning at Deakin Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning-at-deakin-online-87c3dbf9-000b-4b33-bdb8-9afabbc39318 Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Comprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction. - Know the differences between various core Machine Learning models. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either [Learn to Program: Python](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/python207).** 2023-06-27 09:30:00 UTC 2023-06-27 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at UC Online
27 - 28 June 2023
Excel for Researchers at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-uc-online-4fe4f392-46db-420f-9635-10cb72e5b4ed Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2023-06-27 13:30:00 UTC 2023-06-28 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at DPE Online
27 - 28 June 2023
Data Manipulation and Visualisation in R at DPE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-dpe-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r203).** 2023-06-27 13:30:00 UTC 2023-06-28 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution [] -
Sample Size Calculation Workshop
28 June 2023
Sample Size Calculation Workshop https://latrobe.xetta.com/LTUEv/booking?e=SHE_EV382 https://dresa.org.au/events/sample-size-calculation-workshop-6928a0d9-ba6e-434c-a60e-26ea68ec0b3e Hybrid workshop, both online and in person options. Using free software for sample size & statistical power calculations What is G*Power? G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. In this 1-day workshop, concepts of statistical power and relevant statistical tests are covered in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. There will be plenty of opportunities to access in-class support. 2023-06-28 09:00:00 UTC 2023-06-28 15:00:00 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 [] -
Excel for Researchers at UC Online
28 June 2023
Excel for Researchers at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-uc-online-90109ed6-2dad-4eaa-b808-7ec0274dc6dd Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2023-06-28 13:30:00 UTC 2023-06-28 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at DPE Online
28 June 2023
Data Manipulation and Visualisation in R at DPE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-dpe-online-d4fa67ca-f43c-4110-ab88-deb3be963025 R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r203).** 2023-06-28 13:30:00 UTC 2023-06-28 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at Western Sydney: Online
29 - 30 June 2023
Excel for Researchers at Western Sydney: Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-western-sydney-online-c6f02010-aeee-4b99-9895-a03d0b990d25 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2023-06-29 09:30:00 UTC 2023-06-30 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning using Python: Introduction & Linear Regression at UTS Online
29 - 30 June 2023
Introduction to Machine Learning using Python: Introduction & Linear Regression at UTS Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-uts-online-4c5ce68e-dbf4-4255-85d4-3b0e78527fee Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Understand the difference between supervised and unsupervised Machine Learning. - Understand the fundamentals of Machine Learning. - Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. #### Why do this course: - Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources. - It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning. - We do have applications on real datasets! - Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects. - Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning. For a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using Python workshops: - Introduction to Machine Learning using Python: Introduction & Linear Regression - Introduction to Machine Learning using Python: Classification - Introduction to Machine Learning using Python: SVM & Unsupervised Learning **For more information, please click [here](https://intersect.org.au/training/course/python205).** 2023-06-29 10:00:00 UTC 2023-06-30 13:00:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at La Trobe Online
29 June 2023
Data Capture and Surveys with REDCap at La Trobe Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-la-trobe-online-325cde44-a547-4c01-842b-15a0aa01e900 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2023-06-29 10:00:00 UTC 2023-06-29 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at Deakin Online
4 - 5 July 2023
Learn to Program: R at Deakin Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-deakin-online-fabc15d1-6d72-4d08-98d4-37ca23ebecea 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).** 2023-07-04 09:30:00 UTC 2023-07-05 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution [] -
Getting Started with NVivo for Mac at UniSA
5 July 2023
Magill, Australia
Getting Started with NVivo for Mac at UniSA https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-nvivo-for-mac-at-unisa 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 Mac and is not suitable for NVivo for Windows users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo102).** 2023-07-05 09:00:00 UTC 2023-07-05 12:00:00 UTC Intersect Australia UniSA, Magill, Australia UniSA Magill Australia UniSA training@intersect.org.au [] [] [] host_institution []
-
Keeping Archives Online Learning Series
1 July 2016 - 31 December 2025
Keeping Archives Online Learning Series https://www.archivists.org.au/learning-publications/online-courses#KA https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping -
Basic Statistics with R
13 - 14 June 2023
Basic Statistics with R https://latrobe.xetta.com/LTUEv/booking?e=SHE_EV379 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://intersect.org.au/training/schedule 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://intersect.org.au/training/schedule 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://intersect.org.au/training/schedule 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://intersect.org.au/training/schedule 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 [] -
Data Visualisation in R at UNSW Online
14 June 2023
Data Visualisation in R at UNSW Online https://intersect.org.au/training/schedule 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 [] -
Getting started with NVivo for Windows at UC Online
14 June 2023
Getting started with NVivo for Windows at UC Online https://intersect.org.au/training/schedule 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 [] -
Learn to Program: R at DPE Online
14 June 2023
Learn to Program: R at DPE Online https://intersect.org.au/training/schedule 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://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html 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://intersect.org.au/training/schedule 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 [] -
Basic Statistics with Stata
20 - 21 June 2023
Basic Statistics with Stata https://latrobe.xetta.com/LTUEv/booking?e=SHE_EV380 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://intersect.org.au/training/schedule 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://intersect.org.au/training/schedule 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 [] -
National PID Strategy and Roadmap Workshop - hybrid event
20 June 2023
ACTON, Australia
National PID Strategy and Roadmap Workshop - hybrid event https://www.eventbrite.com.au/e/national-pid-strategy-and-roadmap-workshop-hybrid-event-tickets-635211403407 https://dresa.org.au/events/national-pid-strategy-and-roadmap-workshop-hybrid-event-b374f4c2-dbd5-4431-83d8-b2ffee99ab68 Join the ARDC in shaping the collaborative development of a National PID Strategy and Roadmap to accelerate research and innovation. 2023-06-20 10:00:00 UTC 2023-06-20 15:00:00 UTC Australian Research Data Commons The Australian National University, 2 McDonald Place, ACTON, Australia The Australian National University, 2 McDonald Place ACTON Australia 2601 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 350 [] open_to_all Business & Professional -
Data Visualisation in Python at UC Online
21 June 2023
Data Visualisation in Python at UC Online https://intersect.org.au/training/schedule 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 [] -
ACCS Q&A session: Optimisation and automation of microscopy workflows for near-real-time data assessment and visualisation
22 June 2023
ACCS Q&A session: Optimisation and automation of microscopy workflows for near-real-time data assessment and visualisation https://imagingtools.au/events-calendar/optimisation-of-microscopy-workflows https://dresa.org.au/events/accs-q-a-session-optimisation-and-automation-of-microscopy-workflows-for-near-real-time-data-assessment-and-visualisation Over the last few years, technological progress and optimisation of workflows at the Cryogenic Electron Microscopy at the University of Wollongong have enabled instrument scientists and researchers to assess the quality of cryoEM datasets in minutes rather than days. Much of this near-real-time data revolution has been made possible by automating and optimising a range of tasks involved in the early steps of data capture from microscopes. In this presentation, Joshua Silver will explain how existing workflows were reassessed in order to enable the near-real-time assessment and visualisation of cryoEM data. In particular, he will highlight the challenges that needed to be overcome. Finally, Josh will show how the lessons learnt in optimising and automating cryoEM workflows can be applied to other instruments and workflows from data capture through to transfer, processing and visualisation. This work was undertaken as part of the Australian Characterisation Commons at Scale (ACCS) project, under Work Package 4: “Big-data electron and correlative microscopy from instrument to publication”. Note: This event will consist of a 15–20 min presentation by Josh followed by a 40 min discussion/Q&A. 2023-06-22 14:00:00 UTC 2023-06-22 15:00:00 UTC ACCS Brisbane, Australia Brisbane Australia The Australian Characterisation Commons at Scale (ACCS) Dr Sara Motamen, ACCS Training and Community Engagement Manager (s.motamen@anif.org.au) [] [] [] open_to_all EducationcommunityCharacterisationtrainingtraining materialdataData analysisdata processingoptimisationautomationWorkflowsElectron MicroscopyMicroscopyCryoEMLiberTEM microscopeportalCryoSPARC -
Intermediate Statistics with R: Regression Analysis
26 - 27 June 2023
Intermediate Statistics with R: Regression Analysis https://latrobe.xetta.com/LTUEv/booking?e=SHE_EV381 https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis-3a9f266f-8022-46ba-8a88-d63f7c5463d0 Hybrid two day workshop both online and in person options. Learn about different regression models and how to carry out their analyses in R in this 2-day intermediate workshop. What is R?R is a free software package for statistical computing and graphics. Intermediate Statistics with R introduces various types of regression models 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. 2023-06-26 09:00:00 UTC 2023-06-27 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 Visualisation in Python at UC Online
27 June 2023
Data Visualisation in Python at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-visualisation-in-python-at-uc-online-1f89f701-1992-4011-bc11-21962db081c9 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).** 2023-06-27 09:30:00 UTC 2023-06-27 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning using Python: SVM & Unsupervised Learning at Deakin Online
27 June 2023
Introduction to Machine Learning using Python: SVM & Unsupervised Learning at Deakin Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning-at-deakin-online-87c3dbf9-000b-4b33-bdb8-9afabbc39318 Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Comprehensive introduction to Machine Learning models and techniques such as Support Vector Machine, K-Nearest Neighbor and Dimensionality Reduction. - Know the differences between various core Machine Learning models. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either [Learn to Program: Python](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/python207).** 2023-06-27 09:30:00 UTC 2023-06-27 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at UC Online
27 - 28 June 2023
Excel for Researchers at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-uc-online-4fe4f392-46db-420f-9635-10cb72e5b4ed Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2023-06-27 13:30:00 UTC 2023-06-28 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at DPE Online
27 - 28 June 2023
Data Manipulation and Visualisation in R at DPE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-dpe-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r203).** 2023-06-27 13:30:00 UTC 2023-06-28 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution [] -
Sample Size Calculation Workshop
28 June 2023
Sample Size Calculation Workshop https://latrobe.xetta.com/LTUEv/booking?e=SHE_EV382 https://dresa.org.au/events/sample-size-calculation-workshop-6928a0d9-ba6e-434c-a60e-26ea68ec0b3e Hybrid workshop, both online and in person options. Using free software for sample size & statistical power calculations What is G*Power? G*Power is a free statistical software package for power and sample size analysis. It offers point-and-click functionality and covers a wide variety of statistical tests. In this 1-day workshop, concepts of statistical power and relevant statistical tests are covered in a non-technical way. Designed to be hands-on, the workshop focuses on the practical application of statistical methods. There will be plenty of opportunities to access in-class support. 2023-06-28 09:00:00 UTC 2023-06-28 15:00:00 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 [] -
Excel for Researchers at UC Online
28 June 2023
Excel for Researchers at UC Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-uc-online-90109ed6-2dad-4eaa-b808-7ec0274dc6dd Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2023-06-28 13:30:00 UTC 2023-06-28 16:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution [] -
Data Manipulation and Visualisation in R at DPE Online
28 June 2023
Data Manipulation and Visualisation in R at DPE Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-dpe-online-d4fa67ca-f43c-4110-ab88-deb3be963025 R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). You will also explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r203).** 2023-06-28 13:30:00 UTC 2023-06-28 16:30:00 UTC Intersect Australia Australia Australia DPE training@intersect.org.au [] [] [] host_institution [] -
Excel for Researchers at Western Sydney: Online
29 - 30 June 2023
Excel for Researchers at Western Sydney: Online https://intersect.org.au/training/schedule https://dresa.org.au/events/excel-for-researchers-at-western-sydney-online-c6f02010-aeee-4b99-9895-a03d0b990d25 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2023-06-29 09:30:00 UTC 2023-06-30 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution [] -
Introduction to Machine Learning using Python: Introduction & Linear Regression at UTS Online
29 - 30 June 2023
Introduction to Machine Learning using Python: Introduction & Linear Regression at UTS Online https://intersect.org.au/training/schedule https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-at-uts-online-4c5ce68e-dbf4-4255-85d4-3b0e78527fee Machine Learning (ML) is a new way to program computers to solve real world problems. It has gained popularity over the last few years by achieving tremendous success in tasks that we believed only humans could solve, from recognising images to self-driving cars. In this course, we will explore the fundamentals of Machine Learning from a practical perspective with the help of the Python programming language and its scientific computing libraries. #### You'll learn: - Understand the difference between supervised and unsupervised Machine Learning. - Understand the fundamentals of Machine Learning. - Comprehensive introduction to Machine Learning models and techniques such as Linear Regression and Model Training. - Understand the Machine Learning modelling workflows. - Use Python and scikit-learn to process real datasets, train and apply Machine Learning models #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Data Manipulation in Python](https://intersect.org.au/training/course/python201/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Data Manipulation and Visualisation in Python](https://intersect.org.au/training/course/python203/) needed to attend this course. If you already have experience with programming, please check the topics covered in courses above to ensure that you are familiar with the knowledge needed for this course, such as good understanding of Python syntax and basic programming concepts and familiarity with Pandas, Numpy and Seaborn libraries. Maths knowledge is not required. However, there is a few Math formula covered in this course and the references will be provided. Having an understanding of the Mathematics behind each Machine Learning algorithms is going to make you appreciate the behaviour of the model and know its pros/cons when using them. #### Why do this course: - Useful for anyone who wants to learn about Machine Learning but are overwhelmed with the tremendous amount of resources. - It does not go in depth into mathematical concepts and formula, however formal intuitions and references are provided to guide the participants for further learning. - We do have applications on real datasets! - Machine Learning models are introduced in this course together with important feature engineering techniques that are guaranteed to be useful in your own projects. - Give you enough background to kickstart your own Machine Learning journey, or transition yourself into Deep Learning. For a better and more complete understanding of the most popular Machine Learning models and techniques please consider attending all three Introduction to Machine Learning using Python workshops: - Introduction to Machine Learning using Python: Introduction & Linear Regression - Introduction to Machine Learning using Python: Classification - Introduction to Machine Learning using Python: SVM & Unsupervised Learning **For more information, please click [here](https://intersect.org.au/training/course/python205).** 2023-06-29 10:00:00 UTC 2023-06-30 13:00:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution [] -
Data Capture and Surveys with REDCap at La Trobe Online
29 June 2023
Data Capture and Surveys with REDCap at La Trobe Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-la-trobe-online-325cde44-a547-4c01-842b-15a0aa01e900 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2023-06-29 10:00:00 UTC 2023-06-29 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution [] -
Learn to Program: R at Deakin Online
4 - 5 July 2023
Learn to Program: R at Deakin Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-r-at-deakin-online-fabc15d1-6d72-4d08-98d4-37ca23ebecea 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).** 2023-07-04 09:30:00 UTC 2023-07-05 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution [] -
Getting Started with NVivo for Mac at UniSA
5 July 2023
Magill, Australia
Getting Started with NVivo for Mac at UniSA https://intersect.org.au/training/schedule https://dresa.org.au/events/getting-started-with-nvivo-for-mac-at-unisa 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 Mac and is not suitable for NVivo for Windows users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo102).** 2023-07-05 09:00:00 UTC 2023-07-05 12:00:00 UTC Intersect Australia UniSA, Magill, Australia UniSA Magill Australia UniSA training@intersect.org.au [] [] [] host_institution []
Note, this map only displays events that have geolocation information in
DReSA.
For the complete list of events in DReSA, click the grid tab.