Register event
31 event found

Organiser: ARDC  or Sydney Informatics Hub  or QCIF 

  • Exploring and Predicting using Linear Regression with R

    4 October 2022

    Exploring and Predicting using Linear Regression with R https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-with-r-87acd501-16ff-453b-8258-d8be30fda01f 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. 2022-10-04 09:00:00 UTC 2022-10-04 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Design and Analysis of Surveys 1: Best Practice

    5 October 2022

    Design and Analysis of Surveys 1: Best Practice https://dresa.org.au/events/design-and-analysis-of-surveys-1-best-practice This workshop is full of practical tips and guidelines on how to design, field and analyse standard surveys. Some of the topics considered will be: how to design a survey, line vs discrete scales, the effect of colour, optimal discrete/LIKERT scales, pros and cons of common analyses (e.g. linear and logistic regression) and optimal ways to export data. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.  Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 09:30:00 UTC 2022-10-05 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Design and Analysis of Surveys 1: Advanced Topics

    5 October 2022

    Design and Analysis of Surveys 1: Advanced Topics https://dresa.org.au/events/design-and-analysis-of-surveys-1-advanced-topics This workshop builds on the material in Surveys 1. It explores questionnaire validation and index creation using methods such as: Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) using Structural Equation Modelling (SEM), and Conjoint models such as Choice modelling. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.  Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 11:30:00 UTC 2022-10-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Design and Analysis of Surveys 2: Advanced Topics

    5 October 2022

    Design and Analysis of Surveys 2: Advanced Topics https://dresa.org.au/events/design-and-analysis-of-surveys-2-advanced-topics This workshop builds on the material in Surveys 1. It explores questionnaire validation and index creation using methods such as: Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) using Structural Equation Modelling (SEM), and Conjoint models such as Choice modelling. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.  Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 11:30:00 UTC 2022-10-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Multivariate Statistical Analysis 1: Dimension Reduction

    5 October 2022

    Multivariate Statistical Analysis 1: Dimension Reduction https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-5209a7a6-36ba-4a48-923d-58f236456361 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-10-05 14:00:00 UTC 2022-10-05 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Longitudinal and Mixed Model Analysis with R

    6 October 2022

    Longitudinal and Mixed Model Analysis with R https://dresa.org.au/events/longitudinal-and-mixed-model-analysis-with-r-2b3da451-2272-483f-892f-5ee4f72a32a2 This workshop will develop participants’ understanding of the principles, methods, and interpretation of statistical models for longitudinal data (i.e. repeated measures over time) using R. The course will cover the principles of Linear Mixed Models from simple models to more complex ones and includes practical sessions getting hands-on experience of longitudinal analysis in R. 2022-10-06 09:00:00 UTC 2022-10-06 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Intro to REDCap (webinar)

    6 October 2022

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@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)for more information. 2022-10-06 10:00:00 UTC 2022-10-06 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Introduction to Reproducible Research

    11 October 2022

    Introduction to Reproducible Research https://dresa.org.au/events/introduction-to-reproducible-research-40989f50-1f5c-43e7-826a-8fd45e2d6daf An Introduction to Reproducible Research is a 3-hour workshop aimed at introducing researchers to concepts, tools and practices to make their research workflows, data and results reproducible. The workshop challenges participants to use available tools and existing support to increase their research impact, quality and reproducibility through traditional and non-traditional outputs. 2022-10-11 09:00:00 UTC 2022-10-11 12:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop host_institution []
  • Introduction to Artemis HPC

    12 October 2022

    Introduction to Artemis HPC https://dresa.org.au/events/introduction-to-artemis-hpc ### **Sydney Informatics Hub Research Computing Training Series** ## Introduction to the Artemis High Performance Computer (HPC) **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn about the University of Sydney’s HPC ‘Artemis’, including directory structure, software, and how to submit and monitor compute jobs using the PBS Pro scheduling software. Also learn about the national HPC facilities and cloud services available.  Artemis is available at no cost to University of Sydney staff and students. **Target audience:** Students and staff who would like to learn how to run compute jobs on Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** It is recommended to register for the Data transfer and RDS for HPC course to learn how to move data to Artemis. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au  **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2022-10-12 10:00:00 UTC 2022-10-12 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Surveys in REDCap (webinar)

    13 October 2022

    Surveys in REDCap (webinar) https://dresa.org.au/events/surveys-in-redcap-webinar 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:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@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)for more information. 2022-10-13 10:00:00 UTC 2022-10-13 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Meta-Analysis – An Introduction

    19 October 2022

    Meta-Analysis – An Introduction https://dresa.org.au/events/meta-analysis-an-introduction-ebfd3995-3fc5-4e57-bde6-0c113baec414 **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2022-10-19 09:30:00 UTC 2022-10-19 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Linear Models 3: Advanced topics, tips and tricks

    19 October 2022

    Linear Models 3: Advanced topics, tips and tricks https://dresa.org.au/events/linear-models-3-advanced-topics-tips-and-tricks-255bce7c-f07c-41f5-ab50-de1dbf538b86 **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** - **In person**: Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. - **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-10-19 11:30:00 UTC 2022-10-19 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Statistical Model Building

    19 October 2022

    Statistical Model Building https://dresa.org.au/events/statistical-model-building-a41d5acd-9e17-4478-a400-b3a6954f19c9 This workshop examines and illustrates the key aspects and strategies of statistical model building to help you answer your research question, avoid common pitfalls, erroneous models and incorrect conclusions. Appropriate statistical model building will help you to gain knowledge as opposed to simply getting the best prediction (although that can be a goal as well). We will focus on concepts such as variable selection, multi-collinearity, interactions, selecting a model building strategy, comparing models and evaluating models. In general, these concepts are useful for any statistical model building. This workshop will provide generalised linear regression model examples. The focus will be on practical application of concepts so mathematical descriptions will be kept to a minimum. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camperdown:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.  Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-19 14:00:00 UTC 2022-10-19 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Long-Read Assembly using Galaxy

    20 October 2022

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

    21 October 2022

    Exploring and Predicting using Linear Regression with SPSS https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-with-spss-5946f0f9-6922-4c75-913f-c65ea56febca This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using SPSS, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in SPSS. 2022-10-21 09:00:00 UTC 2022-10-21 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: Plotting and Programming with Python

    24 - 27 October 2022

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

    25 October 2022

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

    3 November 2022

    Statistical Comparisons using R https://dresa.org.au/events/statistical-comparisons-using-r-3f590752-7f5f-41dc-8f5b-67679f9fc3eb This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2022-11-03 09:00:00 UTC 2022-11-03 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Working with Sensitive Data

    7 November 2022

    Working with Sensitive Data https://dresa.org.au/events/working-with-sensitive-data-f355528c-7120-4178-91cd-18d450aa1335 This workshop uses practical and discussion-based training to guide researchers about identifying what constitutes sensitive data, the risks of working with sensitive data, and how to appropriately manage those risks. It covers the 'Five Safes' framework and researchers' responsibilities, and introduces ways to promote data security and mitigate disclosure risks. 2022-11-07 09:00:00 UTC 2022-11-07 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all []
  • Introduction to SPSS

    9 November 2022

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

    10 November 2022

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

    15 November 2022

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

    16 November 2022

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

    17 November 2022

    Version Control with Git https://dresa.org.au/events/version-control-with-git-588333af-0900-4e89-83ee-f956057407ef Version control is the lab notebook of the digital world: it’s what professionals use to keep track of what they’ve done and to collaborate with other people. Every large software development project relies on it, and most programmers use it for their small jobs as well. And it isn’t just for software: books, papers, small data sets, and anything that changes over time or needs to be shared can and should be stored in a version control system. 2022-11-17 09:00:00 UTC 2022-11-17 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: R for Reproducible Scientific Analysis

    21 - 24 November 2022

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-cf686717-9a12-4b7f-b5e6-7662f5b283cf This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2022-11-21 09:00:00 UTC 2022-11-24 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • A Guide to Reproducible Research

    23 November 2022

    A Guide to Reproducible Research https://dresa.org.au/events/a-guide-to-reproducible-research-99c4f336-8ff9-456a-9ad6-f067380ca2b2 The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are replicable due to lack of information on the process. Therefore reproducibility in research is extremely important. Researchers genuinely want to make their research more reproducible, but sometimes don't know where to start and often don't have the available time to investigate or establish methods on how reproducible research can speed up every day work. We aim for the philosophy 'Be better than you were yesterday'. Reproducibility is a process, and we highlight there is no expectation to go from beginner to expert in a single workshop. Instead, we offer some steps you can take towards the reproducibility path following our Steps to Reproducible Research self paced program. 2022-11-23 13:30:00 UTC 2022-11-23 15:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all []
  • Introduction to Unix

    5 - 6 December 2022

    Introduction to Unix https://dresa.org.au/events/introduction-to-unix-079e5b5c-0387-441c-88bf-32b786a38f5b The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including 'high-performance computing' supercomputers). This Software Carpentry workshop will start you on a path towards using these resources effectively. 2022-12-05 09:00:00 UTC 2022-12-06 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Intro to REDCap (webinar)

    6 December 2022

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar-280ceeb0-504d-4633-b726-f7e12ce12cac Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@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)for more information. 2022-12-06 13:00:00 UTC 2022-12-06 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Genome Annotation with Apollo

    7 December 2022

    Genome Annotation with Apollo https://dresa.org.au/events/genome-annotation-with-apollo-4f9e0bc2-8a93-4b79-b866-5f61fbf648ac Genome annotation is crucial to defining the function of genomic sequences. Apollo is a popular tool for facilitating real-time, collaborative, curation and genome annotation editing. In this workshop we'll show you how to use Apollo to refine genome annotations using the Australian Apollo Service. 2022-12-07 09:00:00 UTC 2022-12-07 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: Plotting and Programming with Python

    12 - 15 December 2022

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-eed49d25-f827-421b-a11a-6a14552d763c This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2022-12-12 09:00:00 UTC 2022-12-15 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Exploring and Predicting using Linear Regression with R

    4 October 2022

    Exploring and Predicting using Linear Regression with R https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-with-r-87acd501-16ff-453b-8258-d8be30fda01f 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. 2022-10-04 09:00:00 UTC 2022-10-04 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Design and Analysis of Surveys 1: Best Practice

    5 October 2022

    Design and Analysis of Surveys 1: Best Practice https://dresa.org.au/events/design-and-analysis-of-surveys-1-best-practice This workshop is full of practical tips and guidelines on how to design, field and analyse standard surveys. Some of the topics considered will be: how to design a survey, line vs discrete scales, the effect of colour, optimal discrete/LIKERT scales, pros and cons of common analyses (e.g. linear and logistic regression) and optimal ways to export data. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.  Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 09:30:00 UTC 2022-10-05 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Design and Analysis of Surveys 1: Advanced Topics

    5 October 2022

    Design and Analysis of Surveys 1: Advanced Topics https://dresa.org.au/events/design-and-analysis-of-surveys-1-advanced-topics This workshop builds on the material in Surveys 1. It explores questionnaire validation and index creation using methods such as: Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) using Structural Equation Modelling (SEM), and Conjoint models such as Choice modelling. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.  Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 11:30:00 UTC 2022-10-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Design and Analysis of Surveys 2: Advanced Topics

    5 October 2022

    Design and Analysis of Surveys 2: Advanced Topics https://dresa.org.au/events/design-and-analysis-of-surveys-2-advanced-topics This workshop builds on the material in Surveys 1. It explores questionnaire validation and index creation using methods such as: Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) using Structural Equation Modelling (SEM), and Conjoint models such as Choice modelling. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.  Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 11:30:00 UTC 2022-10-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Multivariate Statistical Analysis 1: Dimension Reduction

    5 October 2022

    Multivariate Statistical Analysis 1: Dimension Reduction https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-5209a7a6-36ba-4a48-923d-58f236456361 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-10-05 14:00:00 UTC 2022-10-05 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Longitudinal and Mixed Model Analysis with R

    6 October 2022

    Longitudinal and Mixed Model Analysis with R https://dresa.org.au/events/longitudinal-and-mixed-model-analysis-with-r-2b3da451-2272-483f-892f-5ee4f72a32a2 This workshop will develop participants’ understanding of the principles, methods, and interpretation of statistical models for longitudinal data (i.e. repeated measures over time) using R. The course will cover the principles of Linear Mixed Models from simple models to more complex ones and includes practical sessions getting hands-on experience of longitudinal analysis in R. 2022-10-06 09:00:00 UTC 2022-10-06 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Intro to REDCap (webinar)

    6 October 2022

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@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)for more information. 2022-10-06 10:00:00 UTC 2022-10-06 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Introduction to Reproducible Research

    11 October 2022

    Introduction to Reproducible Research https://dresa.org.au/events/introduction-to-reproducible-research-40989f50-1f5c-43e7-826a-8fd45e2d6daf An Introduction to Reproducible Research is a 3-hour workshop aimed at introducing researchers to concepts, tools and practices to make their research workflows, data and results reproducible. The workshop challenges participants to use available tools and existing support to increase their research impact, quality and reproducibility through traditional and non-traditional outputs. 2022-10-11 09:00:00 UTC 2022-10-11 12:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop host_institution []
  • Introduction to Artemis HPC

    12 October 2022

    Introduction to Artemis HPC https://dresa.org.au/events/introduction-to-artemis-hpc ### **Sydney Informatics Hub Research Computing Training Series** ## Introduction to the Artemis High Performance Computer (HPC) **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn about the University of Sydney’s HPC ‘Artemis’, including directory structure, software, and how to submit and monitor compute jobs using the PBS Pro scheduling software. Also learn about the national HPC facilities and cloud services available.  Artemis is available at no cost to University of Sydney staff and students. **Target audience:** Students and staff who would like to learn how to run compute jobs on Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** It is recommended to register for the Data transfer and RDS for HPC course to learn how to move data to Artemis. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au  **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2022-10-12 10:00:00 UTC 2022-10-12 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Surveys in REDCap (webinar)

    13 October 2022

    Surveys in REDCap (webinar) https://dresa.org.au/events/surveys-in-redcap-webinar 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:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@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)for more information. 2022-10-13 10:00:00 UTC 2022-10-13 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Meta-Analysis – An Introduction

    19 October 2022

    Meta-Analysis – An Introduction https://dresa.org.au/events/meta-analysis-an-introduction-ebfd3995-3fc5-4e57-bde6-0c113baec414 **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2022-10-19 09:30:00 UTC 2022-10-19 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Linear Models 3: Advanced topics, tips and tricks

    19 October 2022

    Linear Models 3: Advanced topics, tips and tricks https://dresa.org.au/events/linear-models-3-advanced-topics-tips-and-tricks-255bce7c-f07c-41f5-ab50-de1dbf538b86 **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** - **In person**: Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. - **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-10-19 11:30:00 UTC 2022-10-19 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Statistical Model Building

    19 October 2022

    Statistical Model Building https://dresa.org.au/events/statistical-model-building-a41d5acd-9e17-4478-a400-b3a6954f19c9 This workshop examines and illustrates the key aspects and strategies of statistical model building to help you answer your research question, avoid common pitfalls, erroneous models and incorrect conclusions. Appropriate statistical model building will help you to gain knowledge as opposed to simply getting the best prediction (although that can be a goal as well). We will focus on concepts such as variable selection, multi-collinearity, interactions, selecting a model building strategy, comparing models and evaluating models. In general, these concepts are useful for any statistical model building. This workshop will provide generalised linear regression model examples. The focus will be on practical application of concepts so mathematical descriptions will be kept to a minimum. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camperdown:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.  Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-19 14:00:00 UTC 2022-10-19 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Long-Read Assembly using Galaxy

    20 October 2022

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

    21 October 2022

    Exploring and Predicting using Linear Regression with SPSS https://dresa.org.au/events/exploring-and-predicting-using-linear-regression-with-spss-5946f0f9-6922-4c75-913f-c65ea56febca This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using SPSS, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in SPSS. 2022-10-21 09:00:00 UTC 2022-10-21 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: Plotting and Programming with Python

    24 - 27 October 2022

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

    25 October 2022

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

    3 November 2022

    Statistical Comparisons using R https://dresa.org.au/events/statistical-comparisons-using-r-3f590752-7f5f-41dc-8f5b-67679f9fc3eb This practical workshop will help participants to choose and use the appropriate standard statistical test for their data by introducing key concepts of inferential statistics in R. Participants will learn how to compute and interpret hypothesis tests for popular statistical models such as correlation, contingency tables, chi-square test, t-test and ANOVA. 2022-11-03 09:00:00 UTC 2022-11-03 17:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Working with Sensitive Data

    7 November 2022

    Working with Sensitive Data https://dresa.org.au/events/working-with-sensitive-data-f355528c-7120-4178-91cd-18d450aa1335 This workshop uses practical and discussion-based training to guide researchers about identifying what constitutes sensitive data, the risks of working with sensitive data, and how to appropriately manage those risks. It covers the 'Five Safes' framework and researchers' responsibilities, and introduces ways to promote data security and mitigate disclosure risks. 2022-11-07 09:00:00 UTC 2022-11-07 11:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all []
  • Introduction to SPSS

    9 November 2022

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

    10 November 2022

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

    15 November 2022

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

    16 November 2022

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

    17 November 2022

    Version Control with Git https://dresa.org.au/events/version-control-with-git-588333af-0900-4e89-83ee-f956057407ef Version control is the lab notebook of the digital world: it’s what professionals use to keep track of what they’ve done and to collaborate with other people. Every large software development project relies on it, and most programmers use it for their small jobs as well. And it isn’t just for software: books, papers, small data sets, and anything that changes over time or needs to be shared can and should be stored in a version control system. 2022-11-17 09:00:00 UTC 2022-11-17 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: R for Reproducible Scientific Analysis

    21 - 24 November 2022

    Introduction to Programming: R for Reproducible Scientific Analysis https://dresa.org.au/events/introduction-to-programming-r-for-reproducible-scientific-analysis-cf686717-9a12-4b7f-b5e6-7662f5b283cf This Software Carpentry workshop will introduce novice programmers to the R software environment, a powerful, popular and free statistical and graphical programming language. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. The emphasis of this workshop is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. 2022-11-21 09:00:00 UTC 2022-11-24 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • A Guide to Reproducible Research

    23 November 2022

    A Guide to Reproducible Research https://dresa.org.au/events/a-guide-to-reproducible-research-99c4f336-8ff9-456a-9ad6-f067380ca2b2 The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are replicable due to lack of information on the process. Therefore reproducibility in research is extremely important. Researchers genuinely want to make their research more reproducible, but sometimes don't know where to start and often don't have the available time to investigate or establish methods on how reproducible research can speed up every day work. We aim for the philosophy 'Be better than you were yesterday'. Reproducibility is a process, and we highlight there is no expectation to go from beginner to expert in a single workshop. Instead, we offer some steps you can take towards the reproducibility path following our Steps to Reproducible Research self paced program. 2022-11-23 13:30:00 UTC 2022-11-23 15:00:00 UTC QCIF QCIF training@qcif.edu.au [] [] webinar open_to_all []
  • Introduction to Unix

    5 - 6 December 2022

    Introduction to Unix https://dresa.org.au/events/introduction-to-unix-079e5b5c-0387-441c-88bf-32b786a38f5b The Unix shell has been around longer than most of its users have been alive. It has survived so long because it’s a power tool that allows people to do complex things with just a few keystrokes. More importantly, it helps them combine existing programs in new ways and automate repetitive tasks so they aren’t typing the same things over and over again. Use of the shell is fundamental to using a wide range of other powerful tools and computing resources (including 'high-performance computing' supercomputers). This Software Carpentry workshop will start you on a path towards using these resources effectively. 2022-12-05 09:00:00 UTC 2022-12-06 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Intro to REDCap (webinar)

    6 December 2022

    Intro to REDCap (webinar) https://dresa.org.au/events/intro-to-redcap-webinar-280ceeb0-504d-4633-b726-f7e12ce12cac Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@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)for more information. 2022-12-06 13:00:00 UTC 2022-12-06 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Genome Annotation with Apollo

    7 December 2022

    Genome Annotation with Apollo https://dresa.org.au/events/genome-annotation-with-apollo-4f9e0bc2-8a93-4b79-b866-5f61fbf648ac Genome annotation is crucial to defining the function of genomic sequences. Apollo is a popular tool for facilitating real-time, collaborative, curation and genome annotation editing. In this workshop we'll show you how to use Apollo to refine genome annotations using the Australian Apollo Service. 2022-12-07 09:00:00 UTC 2022-12-07 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Introduction to Programming: Plotting and Programming with Python

    12 - 15 December 2022

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-eed49d25-f827-421b-a11a-6a14552d763c This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2022-12-12 09:00:00 UTC 2022-12-15 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []

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