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176 events found
  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping
  • Intermediate Statistics with R: Regression Analysis (hybrid)

    24 - 25 June 2024

    Bundoora, Australia

    Intermediate Statistics with R: Regression Analysis (hybrid) https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis-hybrid-68661332-3f60-4dda-8145-9f57c6da7b5e 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. 2024-06-24 09:00:00 UTC 2024-06-25 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical Sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom., Bundoora, Australia Physical Sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop open_to_all R statistical softwareStatistics
  • Applied Longitudinal Data Analysis

    24 - 28 June 2024

    Applied Longitudinal Data Analysis https://dresa.org.au/events/applied-longitudinal-data-analysis-0e090d0e-a0cb-4065-8ff3-7415f92dd20b Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. 2024-06-24 09:00:00 UTC 2024-06-28 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all longitudinal dataData analysissocial data scienceresearch data
  • Exploring and Predicting using Linear Regression in R

    24 June 2024

    Exploring and Predicting using Linear Regression in R https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-in-r-5035e900-7195-4c5a-8017-01f1749cf0f8 This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in R. 2024-06-24 09:00:00 UTC 2024-06-24 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Computer-assisted Qualitative Data Analysis using NVivo

    24 - 28 June 2024

    Introduction to Computer-assisted Qualitative Data Analysis using NVivo https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2024-06-24 09:30:00 UTC 2024-06-28 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative interviewingQualitative methodsQualitative PhDIntroductory NVivo
  • Foundations of Qualitative Methodologies, Data Collection and Analysis

    24 - 26 June 2024

    Foundations of Qualitative Methodologies, Data Collection and Analysis https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis This is an introductory course which deals with the major decisions a qualitative researcher needs to make initially: * framing * research design and ethics * qualitative paradigms and methodology/ies The emphasis on the 2nd and 3rd days is on practical experience. The gaining of practice-based skills with regard to conducting both face-to-face and focus group interviews in person and online, and in gaining experience in analysing and displaying qualitative data. 2024-06-24 09:30:00 UTC 2024-06-26 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative interviewingQualitative methodsQualitative PhDIntroductory
  • Fundamentals of Program Evaluation in Public Policy

    24 - 26 June 2024

    Fundamentals of Program Evaluation in Public Policy https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy This is a three day workshop for public sector workers and academics commissioning, managing or conducting evaluations of public policy or programs. The course is structured to progress participants through the key stages of an evaluation. Participants are exposed to key theories and approaches to evaluation, and then encouraged to consider the application of these approaches to their own work context. Participants will be guided through negotiation and planing an evaluation, through to final reporting and dissemination of findings. Examples from published studies and the facilitator's applied practice in evaluation will be drawn apon to illustrate and reinforce key concepts. 2024-06-24 10:00:00 UTC 2024-06-26 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all evaluationpolicy evaluationpublic policy
  • Applied Structural Equation Modelling

    24 - 28 June 2024

    Applied Structural Equation Modelling https://dresa.org.au/events/applied-structural-equation-modelling-2c72c4f5-03f3-4106-92d4-071e75a70aca Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed (measured) variables and latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed to introduce participants to a range of basic structural equation models and the use of the AMOS and/or Mplus software to estimate the model parameters. 2024-06-24 10:00:00 UTC 2024-06-28 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysissocial data scienceresearch dataSEMStructural equation modelling
  • ADSN-ARDC Healthcare Advanced Analytics Co-Design Workshop

    24 June 2024

    ADSN-ARDC Healthcare Advanced Analytics Co-Design Workshop https://dresa.org.au/events/adsn-ardc-healthcare-advanced-analytics-co-design-workshop-beae7776-837b-4dc0-9575-7664d141c235 Join us for a virtual workshop where we dive deep into advanced analytics in healthcare with the ADSN-ARDC team! 2024-06-24 11:00:00 UTC 2024-06-24 13:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 workshop open_to_all Health & WellnessMedical
  • Introduction to Programming: Plotting and Programming with Python

    25 - 28 June 2024

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-b7970551-891d-4451-8952-b0fda2ede089 This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2024-06-25 09:00:00 UTC 2024-06-28 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Learn to Program: Python at UNSW Online

    25 - 26 June 2024

    Learn to Program: Python at UNSW Online https://dresa.org.au/events/learn-to-program-python-at-unsw-online-ff62dcf6-92e9-402e-8322-c0587fcca4eb Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2024-06-25 09:30:00 UTC 2024-06-26 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Introduction to Machine Learning using Python: Classification at Deakin Online

    25 - 26 June 2024

    Introduction to Machine Learning using Python: Classification at Deakin Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification-at-deakin-online-9ee500eb-d7b5-42a1-86aa-2b56b6d2f4aa 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).** 2024-06-25 09:30:00 UTC 2024-06-26 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Surveys in REDCap (offered by Research Data Strategy, RIEA)

    25 June 2024

    Surveys in REDCap (offered by Research Data Strategy, RIEA) https://dresa.org.au/events/surveys-in-redcap-offered-by-research-data-strategy-riea 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 **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 "https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html")for more information. 2024-06-25 14:00:00 UTC 2024-06-25 16:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Sample Size Calculation Workshop (hybrid)

    26 June 2024

    Bundoora, Australia

    Sample Size Calculation Workshop (hybrid) https://dresa.org.au/events/sample-size-calculation-workshop-hybrid-19557ade-0d40-4d8a-8b3b-7d6f95f72506 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. 2024-06-26 09:00:00 UTC 2024-06-26 15:00:00 UTC La Trobe University Statistics Consultancy Platform Physical Sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom., Bundoora, Australia Physical Sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all G*PowerStatisticssample size calculation
  • REDCap 202: Finalising and Running a Clinical Trial

    26 June 2024

    REDCap 202: Finalising and Running a Clinical Trial https://dresa.org.au/events/redcap-202-finalising-and-running-a-clinical-trial-baa7b816-c1cd-47bf-94d6-b2e6dc7390e8 REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2024-06-26 09:00:00 UTC 2024-06-26 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Surveying with Qualtrics at ACU

    26 June 2024

    Surveying with Qualtrics at ACU https://dresa.org.au/events/surveying-with-qualtrics-at-acu Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: - Format a sample survey using the Qualtrics online platform - Configure the survey using a range of design features to improve user experience - Decide which distribution channel is right for your needs - Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. **For more information, please click [here](https://intersect.org.au/training/course/qltrics101).** 2024-06-26 09:30:00 UTC 2024-06-26 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Surveying with Qualtrics at ACU

    26 June 2024

    Introduction to Surveying with Qualtrics at ACU https://dresa.org.au/events/introduction-to-surveying-with-qualtrics-at-acu Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: - Format a sample survey using the Qualtrics online platform - Configure the survey using a range of design features to improve user experience - Decide which distribution channel is right for your needs - Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. **For more information, please click [here](https://intersect.org.au/training/course/qltrics101).** 2024-06-26 09:30:00 UTC 2024-06-26 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UniSA Online

    26 - 27 June 2024

    Learn to Program: R at UniSA Online https://dresa.org.au/events/learn-to-program-r-at-unisa-online-b59a6c33-95ee-4f7d-91a7-a0ec47660782 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-06-26 13:00:00 UTC 2024-06-27 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • ARCOS Symposium 2024

    27 June 2024

    Caulfield East, Australia

    ARCOS Symposium 2024 https://dresa.org.au/events/arcos-symposium-2024 Bringing the ARCOS community and others in the research sector together to share use cases and expertise and advance the ARCOS project. 2024-06-27 09:30:00 UTC 2024-06-27 17:00:00 UTC Australian Research Data Commons 900 Dandenong Road, Building F, Room 606, Caulfield East, Australia 900 Dandenong Road, Building F, Room 606 Caulfield East Australia 3145 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 conference open_to_all Science & TechnologyScience
  • Data Manipulation and Visualisation in Python at UTS Online

    27 - 28 June 2024

    Data Manipulation and Visualisation in Python at UTS Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-uts-online-1ae12b5a-5a3a-44df-973f-06fd6fdfa19f Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2024-06-27 09:30:00 UTC 2024-06-28 12:45:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at Western Sydney: Online

    27 - 28 June 2024

    Excel for Researchers at Western Sydney: Online https://dresa.org.au/events/excel-for-researchers-at-western-sydney-online-e765c540-4ea4-4005-9721-2e4f7e8b9cb1 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2024-06-27 09:30:00 UTC 2024-06-28 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Social Network Research and Analysis

    1 - 5 July 2024

    Introduction to Social Network Research and Analysis https://dresa.org.au/events/introduction-to-social-network-research-and-analysis This course covers data collection and research design, visualisation and basic analytic methods used in social network research. It is designed for mixed methods and qualitative researchers. From 2021 the course has a greater emphasis on social media data collection and analysis. It also explores software for network-oriented online interview and survey data collection 2024-07-01 09:30:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysissocial network researchSocial network analysissocial media datasocial data science
  • Research Essentials – Analysing your Data

    1 July 2024

    Research Essentials – Analysing your Data https://dresa.org.au/events/research-essentials-analysing-your-data-18b00606-e996-472b-889e-f5afa2cbd844 **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2024-07-01 09:30:00 UTC 2024-07-01 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Fundamentals of Statistics

    1 - 5 July 2024

    Fundamentals of Statistics https://dresa.org.au/events/fundamentals-of-statistics-3960fa1b-e256-468c-b2b6-cfec76da7a3a This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. Depending on student preferences, students can choose to use either jamovi or IBM SPSS Statistics. 2024-07-01 10:00:00 UTC 2024-07-05 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysisIntroductoryFundamentals of StatisticsStatisticsStatistical Methods
  • Data Analysis Using Stata

    1 - 5 July 2024

    Data Analysis Using Stata https://dresa.org.au/events/data-analysis-using-stata Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. This course aims to provide you with the understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool. 2024-07-01 10:00:00 UTC 2024-07-05 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysissocial data scienceSTATAStatistical Methodsstatistical software
  • Qualitative Research: Design, Analysis and Representation

    1 - 5 July 2024

    Qualitative Research: Design, Analysis and Representation https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-8b77706f-4384-4086-bfdf-363857895222 The focus of this course is on issues of design and positioning, analysis and representation of qualitative research. This course only provides a generic overview of data collection methods, as it is assumed that participants will have experience with methods. Many of the examples will make reference to research in business, psychology and health. The target audience for this course are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the process and context of qualitative research. 2024-07-01 10:00:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative ResearchQualitative methods
  • Multi-level Analysis using Mplus

    1 - 5 July 2024

    Multi-level Analysis using Mplus https://dresa.org.au/events/multi-level-analysis-using-mplus This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. During the course, Phil will make appointments with participants who want help with their own research problems. These appointments will be scheduled either before, between or after instruction time on the last two days of the course. The target audience for this course is researchers needing to learn how to analyse data that has been collected through a hierarchical (or clustered) sampling approach using the Mplus software. 2024-07-01 10:00:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all AdvancedStatistical Methodsapplied statisticsStatisticsmultilevel modellingMplus
  • Advanced Statistical Analysis Using R

    1 - 5 July 2024

    Advanced Statistical Analysis Using R https://dresa.org.au/events/advanced-statistical-analysis-using-r The focus of this course is on learning advanced statistical methods using R. This course is intended for those who have basic knowledge and experience with R, and would like to further advance or develop their experiences with advanced statistical methods in R. The course would also be suitable for people familiar with these statistical methods in other packages, but with no prior experience using R. The first day of this course will focus on the R software environment, the remaining days of this workshop will focus on learning advanced statistical methods with R. 2024-07-01 10:00:00 UTC 2024-07-05 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all R softwareAdvancedStatistical Methodsapplied statisticsStatistics
  • WORKSHOP: Phylogenetics - back to basics

    1 July 2024

    WORKSHOP: Phylogenetics - back to basics https://dresa.org.au/events/workshop-phylogenetics-back-to-basics Phylogenetics is essential for comparing biological species and understanding biodiversity for conservation. This workshop discusses the basic principles and methods of phylogenetic inference and what you can learn from phylogenetic estimation. It is intended to help you make informed decisions about which methods to use in your research. Using real-life data and standard tools that are (mostly) available in Galaxy, the workshop demonstrates the principles behind a variety of methods used to estimate phylogenetic trees from aligned sequence data or distance data. This is not a "how to" workshop, but is instead aimed at giving you a better understanding of the principles of phylogenetics and how the methods work. Maybe you've even built phylogenetic trees before but want to know more about the principles behind the tools. **Lead Trainers:* *Professor Michael Charleston, University of Tasmania. **Date/Time**: 1 July 2024, 11am - 3pm AEST / 10:30am - 2:30pm ACST / 9am - 1pm AWST **Location:** Online **Format:** In this online workshop expert trainers will introduce new topics and guide you through hands-on activities to help you put your new skills into action. The exercises we'll cover are beginner level and make use of Galaxy Australia, an online platform that lets you conduct accessible, reproducible, and transparent computational biological research. **Learning outcomes:** By the end of the workshop you should be able to: * Describe the basic concepts behind phylogenetic trees and how they are made * Read and interrogate a phylogeny encountered in the literature * Use standard tools to align a set of molecular sequences * Assess the quality of a molecular sequence alignment and be able to modify it appropriately for phylogenetic analysis * Use standard tools to estimate a phylogenetic tree based on a set of aligned molecular sequences * Assess the reliability of estimated phylogenies with bootstrapping * Explore phylogenetic signal using phylogenetic networks We will not cover: * Workflows from read data to sequences * How to get an alignment (much: will use automated methods) * Bayesian phylogenetics: MCMC / BEAST / MrBayes **Who the workshop is for:** This workshop is for Australian molecular biologists who want to know more about phylogenetic trees. You should know how molecular sequence data is produced and what it looks like. Some familiarity with using Galaxy is assumed. No coding experience is required. If you are new to Galaxy you will need to [register for a free Galaxy Australia account](https://www.biocommons.org.au/galaxy-australia). We recommend watching this [brief introduction to Galaxy Australia](https://youtu.be/i8ZnK8i8zRE) and working through the [Galaxy Basics for Everyone tutorial](https://training.galaxyproject.org/training-material/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.html) before joining the workshop. You must be associated with an Australian organisation for your application to be considered. **How to apply:** This workshop is free but participation is subject to application with selection. Applications close at **11:59pm AEST, Friday 14 June 2024**. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our[ Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) **[Apply here] (https://phylogenetics-2024.eventbrite.com.au/)** _This workshop is presented by the [Australian BioCommons](https://www.biocommons.org.au/) with the assistance of a network of facilitators from the national [Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _This event is part of a series of [bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please [subscribe](https://www.biocommons.org.au/subscribe) to Australian BioCommons_ 2024-07-01 11:00:00 UTC 2024-07-01 15:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] expression_of_interest PhylogeneticsEvolutionTree building
  • Australian BioCommons Workshop:Phylogenetics - back to basics

    1 July 2024

    Australian BioCommons Workshop:Phylogenetics - back to basics https://dresa.org.au/events/australian-biocommons-workshop-phylogenetics-back-to-basics This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2024-07-01 11:30:00 UTC 2024-07-01 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Keeping Archives Online Learning Series

    1 July 2016 - 31 December 2025

    Keeping Archives Online Learning Series https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping
  • Intermediate Statistics with R: Regression Analysis (hybrid)

    24 - 25 June 2024

    Bundoora, Australia

    Intermediate Statistics with R: Regression Analysis (hybrid) https://dresa.org.au/events/intermediate-statistics-with-r-regression-analysis-hybrid-68661332-3f60-4dda-8145-9f57c6da7b5e 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. 2024-06-24 09:00:00 UTC 2024-06-25 15:30:00 UTC La Trobe University Statistics Consultancy Platform Physical Sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom., Bundoora, Australia Physical Sciences 2, Kurt Gödel Laboratory, room 330, or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 20 workshop open_to_all R statistical softwareStatistics
  • Applied Longitudinal Data Analysis

    24 - 28 June 2024

    Applied Longitudinal Data Analysis https://dresa.org.au/events/applied-longitudinal-data-analysis-0e090d0e-a0cb-4065-8ff3-7415f92dd20b Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. 2024-06-24 09:00:00 UTC 2024-06-28 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all longitudinal dataData analysissocial data scienceresearch data
  • Exploring and Predicting using Linear Regression in R

    24 June 2024

    Exploring and Predicting using Linear Regression in R https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-in-r-5035e900-7195-4c5a-8017-01f1749cf0f8 This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in R. 2024-06-24 09:00:00 UTC 2024-06-24 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Computer-assisted Qualitative Data Analysis using NVivo

    24 - 28 June 2024

    Introduction to Computer-assisted Qualitative Data Analysis using NVivo https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2024-06-24 09:30:00 UTC 2024-06-28 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative interviewingQualitative methodsQualitative PhDIntroductory NVivo
  • Foundations of Qualitative Methodologies, Data Collection and Analysis

    24 - 26 June 2024

    Foundations of Qualitative Methodologies, Data Collection and Analysis https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis This is an introductory course which deals with the major decisions a qualitative researcher needs to make initially: * framing * research design and ethics * qualitative paradigms and methodology/ies The emphasis on the 2nd and 3rd days is on practical experience. The gaining of practice-based skills with regard to conducting both face-to-face and focus group interviews in person and online, and in gaining experience in analysing and displaying qualitative data. 2024-06-24 09:30:00 UTC 2024-06-26 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative interviewingQualitative methodsQualitative PhDIntroductory
  • Fundamentals of Program Evaluation in Public Policy

    24 - 26 June 2024

    Fundamentals of Program Evaluation in Public Policy https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy This is a three day workshop for public sector workers and academics commissioning, managing or conducting evaluations of public policy or programs. The course is structured to progress participants through the key stages of an evaluation. Participants are exposed to key theories and approaches to evaluation, and then encouraged to consider the application of these approaches to their own work context. Participants will be guided through negotiation and planing an evaluation, through to final reporting and dissemination of findings. Examples from published studies and the facilitator's applied practice in evaluation will be drawn apon to illustrate and reinforce key concepts. 2024-06-24 10:00:00 UTC 2024-06-26 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all evaluationpolicy evaluationpublic policy
  • Applied Structural Equation Modelling

    24 - 28 June 2024

    Applied Structural Equation Modelling https://dresa.org.au/events/applied-structural-equation-modelling-2c72c4f5-03f3-4106-92d4-071e75a70aca Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed (measured) variables and latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed to introduce participants to a range of basic structural equation models and the use of the AMOS and/or Mplus software to estimate the model parameters. 2024-06-24 10:00:00 UTC 2024-06-28 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysissocial data scienceresearch dataSEMStructural equation modelling
  • ADSN-ARDC Healthcare Advanced Analytics Co-Design Workshop

    24 June 2024

    ADSN-ARDC Healthcare Advanced Analytics Co-Design Workshop https://dresa.org.au/events/adsn-ardc-healthcare-advanced-analytics-co-design-workshop-beae7776-837b-4dc0-9575-7664d141c235 Join us for a virtual workshop where we dive deep into advanced analytics in healthcare with the ADSN-ARDC team! 2024-06-24 11:00:00 UTC 2024-06-24 13:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 workshop open_to_all Health & WellnessMedical
  • Introduction to Programming: Plotting and Programming with Python

    25 - 28 June 2024

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-b7970551-891d-4451-8952-b0fda2ede089 This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2024-06-25 09:00:00 UTC 2024-06-28 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Learn to Program: Python at UNSW Online

    25 - 26 June 2024

    Learn to Program: Python at UNSW Online https://dresa.org.au/events/learn-to-program-python-at-unsw-online-ff62dcf6-92e9-402e-8322-c0587fcca4eb Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2024-06-25 09:30:00 UTC 2024-06-26 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Introduction to Machine Learning using Python: Classification at Deakin Online

    25 - 26 June 2024

    Introduction to Machine Learning using Python: Classification at Deakin Online https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification-at-deakin-online-9ee500eb-d7b5-42a1-86aa-2b56b6d2f4aa 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).** 2024-06-25 09:30:00 UTC 2024-06-26 12:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Surveys in REDCap (offered by Research Data Strategy, RIEA)

    25 June 2024

    Surveys in REDCap (offered by Research Data Strategy, RIEA) https://dresa.org.au/events/surveys-in-redcap-offered-by-research-data-strategy-riea 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 **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 "https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html")for more information. 2024-06-25 14:00:00 UTC 2024-06-25 16:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Sample Size Calculation Workshop (hybrid)

    26 June 2024

    Bundoora, Australia

    Sample Size Calculation Workshop (hybrid) https://dresa.org.au/events/sample-size-calculation-workshop-hybrid-19557ade-0d40-4d8a-8b3b-7d6f95f72506 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. 2024-06-26 09:00:00 UTC 2024-06-26 15:00:00 UTC La Trobe University Statistics Consultancy Platform Physical Sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom., Bundoora, Australia Physical Sciences 2, Room 330 (Kurt Gödel Lab), or online via Zoom. Bundoora Australia 3086 La Trobe University Statistics.Consultancy@latrobe.edu.au [] researchersresearch students 20 workshop open_to_all G*PowerStatisticssample size calculation
  • REDCap 202: Finalising and Running a Clinical Trial

    26 June 2024

    REDCap 202: Finalising and Running a Clinical Trial https://dresa.org.au/events/redcap-202-finalising-and-running-a-clinical-trial-baa7b816-c1cd-47bf-94d6-b2e6dc7390e8 REDCap is a widely used platform for managing and sharing surveys and registries of clinical research data. This series of short training modules covers everything from an introductory guide to REDCap through to running complex clinical trials. The modules are all stand-alone, and attendees can pick and choose which to attend depending on prior experience and research needs. 2024-06-26 09:00:00 UTC 2024-06-26 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Surveying with Qualtrics at ACU

    26 June 2024

    Surveying with Qualtrics at ACU https://dresa.org.au/events/surveying-with-qualtrics-at-acu Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: - Format a sample survey using the Qualtrics online platform - Configure the survey using a range of design features to improve user experience - Decide which distribution channel is right for your needs - Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. **For more information, please click [here](https://intersect.org.au/training/course/qltrics101).** 2024-06-26 09:30:00 UTC 2024-06-26 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Surveying with Qualtrics at ACU

    26 June 2024

    Introduction to Surveying with Qualtrics at ACU https://dresa.org.au/events/introduction-to-surveying-with-qualtrics-at-acu Needing to collect data from people in a structured and intuitive way? Have you thought about using Qualtrics? Qualtrics in a powerful cloud-based survey tool, ideal for social scientists from all disciplines. This course will introduce the technical components of the whole research workflow from building a survey to analysing the results using Qualtrics. We will discover the numerous design elements available in order to get the most useful results and make life as easy as can be for your respondents. If your institution has a licence to Qualtrics, then this course is right for you. #### You'll learn: - Format a sample survey using the Qualtrics online platform - Configure the survey using a range of design features to improve user experience - Decide which distribution channel is right for your needs - Understand the available data analysis and export options in Qualtrics #### Prerequisites: You must have access to a Qualtrics instance, such as through your university license. Speak to your local university IT or Research Office for assistance in accessing the Qualtrics instance. **For more information, please click [here](https://intersect.org.au/training/course/qltrics101).** 2024-06-26 09:30:00 UTC 2024-06-26 12:30:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UniSA Online

    26 - 27 June 2024

    Learn to Program: R at UniSA Online https://dresa.org.au/events/learn-to-program-r-at-unisa-online-b59a6c33-95ee-4f7d-91a7-a0ec47660782 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2024-06-26 13:00:00 UTC 2024-06-27 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • ARCOS Symposium 2024

    27 June 2024

    Caulfield East, Australia

    ARCOS Symposium 2024 https://dresa.org.au/events/arcos-symposium-2024 Bringing the ARCOS community and others in the research sector together to share use cases and expertise and advance the ARCOS project. 2024-06-27 09:30:00 UTC 2024-06-27 17:00:00 UTC Australian Research Data Commons 900 Dandenong Road, Building F, Room 606, Caulfield East, Australia 900 Dandenong Road, Building F, Room 606 Caulfield East Australia 3145 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 conference open_to_all Science & TechnologyScience
  • Data Manipulation and Visualisation in Python at UTS Online

    27 - 28 June 2024

    Data Manipulation and Visualisation in Python at UTS Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-at-uts-online-1ae12b5a-5a3a-44df-973f-06fd6fdfa19f Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. You will also explore different types of graphs and learn how to customise them using two of the most popular plotting libraries in Python, matplotlib and seaborn (Data Visualisation). We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Working with pandas DataFrames - Indexing, slicing and subsetting in pandas DataFrames - Missing data values - Combine multiple pandas DataFrames - Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries - Configuring plot elements within seaborn and matplotlib - Exploring different types of plots using seaborn #### Prerequisites: Either [Learn to Program: Python](https://intersect.org.au/training/course/python101/) or [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: Python](https://intersect.org.au/training/course/python101/) and [Python for Research](https://intersect.org.au/training/course/python110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/python203).** 2024-06-27 09:30:00 UTC 2024-06-28 12:45:00 UTC Intersect Australia Australia Australia UTS training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at Western Sydney: Online

    27 - 28 June 2024

    Excel for Researchers at Western Sydney: Online https://dresa.org.au/events/excel-for-researchers-at-western-sydney-online-e765c540-4ea4-4005-9721-2e4f7e8b9cb1 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2024-06-27 09:30:00 UTC 2024-06-28 12:30:00 UTC Intersect Australia Australia Australia WSU training@intersect.org.au [] [] [] host_institution []
  • Introduction to Social Network Research and Analysis

    1 - 5 July 2024

    Introduction to Social Network Research and Analysis https://dresa.org.au/events/introduction-to-social-network-research-and-analysis This course covers data collection and research design, visualisation and basic analytic methods used in social network research. It is designed for mixed methods and qualitative researchers. From 2021 the course has a greater emphasis on social media data collection and analysis. It also explores software for network-oriented online interview and survey data collection 2024-07-01 09:30:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysissocial network researchSocial network analysissocial media datasocial data science
  • Research Essentials – Analysing your Data

    1 July 2024

    Research Essentials – Analysing your Data https://dresa.org.au/events/research-essentials-analysing-your-data-18b00606-e996-472b-889e-f5afa2cbd844 **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2024-07-01 09:30:00 UTC 2024-07-01 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Fundamentals of Statistics

    1 - 5 July 2024

    Fundamentals of Statistics https://dresa.org.au/events/fundamentals-of-statistics-3960fa1b-e256-468c-b2b6-cfec76da7a3a This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. Depending on student preferences, students can choose to use either jamovi or IBM SPSS Statistics. 2024-07-01 10:00:00 UTC 2024-07-05 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysisIntroductoryFundamentals of StatisticsStatisticsStatistical Methods
  • Data Analysis Using Stata

    1 - 5 July 2024

    Data Analysis Using Stata https://dresa.org.au/events/data-analysis-using-stata Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. This course aims to provide you with the understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool. 2024-07-01 10:00:00 UTC 2024-07-05 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysissocial data scienceSTATAStatistical Methodsstatistical software
  • Qualitative Research: Design, Analysis and Representation

    1 - 5 July 2024

    Qualitative Research: Design, Analysis and Representation https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-8b77706f-4384-4086-bfdf-363857895222 The focus of this course is on issues of design and positioning, analysis and representation of qualitative research. This course only provides a generic overview of data collection methods, as it is assumed that participants will have experience with methods. Many of the examples will make reference to research in business, psychology and health. The target audience for this course are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the process and context of qualitative research. 2024-07-01 10:00:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative ResearchQualitative methods
  • Multi-level Analysis using Mplus

    1 - 5 July 2024

    Multi-level Analysis using Mplus https://dresa.org.au/events/multi-level-analysis-using-mplus This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. During the course, Phil will make appointments with participants who want help with their own research problems. These appointments will be scheduled either before, between or after instruction time on the last two days of the course. The target audience for this course is researchers needing to learn how to analyse data that has been collected through a hierarchical (or clustered) sampling approach using the Mplus software. 2024-07-01 10:00:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all AdvancedStatistical Methodsapplied statisticsStatisticsmultilevel modellingMplus
  • Advanced Statistical Analysis Using R

    1 - 5 July 2024

    Advanced Statistical Analysis Using R https://dresa.org.au/events/advanced-statistical-analysis-using-r The focus of this course is on learning advanced statistical methods using R. This course is intended for those who have basic knowledge and experience with R, and would like to further advance or develop their experiences with advanced statistical methods in R. The course would also be suitable for people familiar with these statistical methods in other packages, but with no prior experience using R. The first day of this course will focus on the R software environment, the remaining days of this workshop will focus on learning advanced statistical methods with R. 2024-07-01 10:00:00 UTC 2024-07-05 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all R softwareAdvancedStatistical Methodsapplied statisticsStatistics
  • WORKSHOP: Phylogenetics - back to basics

    1 July 2024

    WORKSHOP: Phylogenetics - back to basics https://dresa.org.au/events/workshop-phylogenetics-back-to-basics Phylogenetics is essential for comparing biological species and understanding biodiversity for conservation. This workshop discusses the basic principles and methods of phylogenetic inference and what you can learn from phylogenetic estimation. It is intended to help you make informed decisions about which methods to use in your research. Using real-life data and standard tools that are (mostly) available in Galaxy, the workshop demonstrates the principles behind a variety of methods used to estimate phylogenetic trees from aligned sequence data or distance data. This is not a "how to" workshop, but is instead aimed at giving you a better understanding of the principles of phylogenetics and how the methods work. Maybe you've even built phylogenetic trees before but want to know more about the principles behind the tools. **Lead Trainers:* *Professor Michael Charleston, University of Tasmania. **Date/Time**: 1 July 2024, 11am - 3pm AEST / 10:30am - 2:30pm ACST / 9am - 1pm AWST **Location:** Online **Format:** In this online workshop expert trainers will introduce new topics and guide you through hands-on activities to help you put your new skills into action. The exercises we'll cover are beginner level and make use of Galaxy Australia, an online platform that lets you conduct accessible, reproducible, and transparent computational biological research. **Learning outcomes:** By the end of the workshop you should be able to: * Describe the basic concepts behind phylogenetic trees and how they are made * Read and interrogate a phylogeny encountered in the literature * Use standard tools to align a set of molecular sequences * Assess the quality of a molecular sequence alignment and be able to modify it appropriately for phylogenetic analysis * Use standard tools to estimate a phylogenetic tree based on a set of aligned molecular sequences * Assess the reliability of estimated phylogenies with bootstrapping * Explore phylogenetic signal using phylogenetic networks We will not cover: * Workflows from read data to sequences * How to get an alignment (much: will use automated methods) * Bayesian phylogenetics: MCMC / BEAST / MrBayes **Who the workshop is for:** This workshop is for Australian molecular biologists who want to know more about phylogenetic trees. You should know how molecular sequence data is produced and what it looks like. Some familiarity with using Galaxy is assumed. No coding experience is required. If you are new to Galaxy you will need to [register for a free Galaxy Australia account](https://www.biocommons.org.au/galaxy-australia). We recommend watching this [brief introduction to Galaxy Australia](https://youtu.be/i8ZnK8i8zRE) and working through the [Galaxy Basics for Everyone tutorial](https://training.galaxyproject.org/training-material/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.html) before joining the workshop. You must be associated with an Australian organisation for your application to be considered. **How to apply:** This workshop is free but participation is subject to application with selection. Applications close at **11:59pm AEST, Friday 14 June 2024**. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our[ Advice on applying for Australian BioCommons workshops.](https://www.biocommons.org.au/workshop-applications) **[Apply here] (https://phylogenetics-2024.eventbrite.com.au/)** _This workshop is presented by the [Australian BioCommons](https://www.biocommons.org.au/) with the assistance of a network of facilitators from the national [Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _This event is part of a series of [bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please [subscribe](https://www.biocommons.org.au/subscribe) to Australian BioCommons_ 2024-07-01 11:00:00 UTC 2024-07-01 15:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] expression_of_interest PhylogeneticsEvolutionTree building
  • Australian BioCommons Workshop:Phylogenetics - back to basics

    1 July 2024

    Australian BioCommons Workshop:Phylogenetics - back to basics https://dresa.org.au/events/australian-biocommons-workshop-phylogenetics-back-to-basics This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2024-07-01 11:30:00 UTC 2024-07-01 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

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