Online R Language Training in Australia

R Markdown serves as an authoring framework that integrates executable R code with narrative text to produce dynamic and reproducible documents.

Delivered via an instructor-led live training session (available online or onsite), this course targets beginner to intermediate R users seeking to generate automated, dynamic reports for internal documentation, research publications, or web publishing using R Markdown.

Upon completion of this training, participants will be capable of:

• Creating R Markdown documents containing embedded R code chunks and formatted text.
• Generating outputs in various formats, including HTML, PDF, and Word.
• Utilising parameterised reports and conditional logic to produce dynamic content.
• Customising document appearance through themes, templates, and LaTeX for a professional presentation.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• To request a bespoke training for this course, please contact us to arrange.

This instructor-led, live training in Australia (online or onsite) is aimed at data analysts and anyone interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualisation and analysis.

By the end of this training, participants will be able to:

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualisation with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Australia (online or onsite) is tailored for beginner-level professionals looking to clean and analyse data, perform statistical forecasting, and generate insightful visualisations using these tools.

By the conclusion of this training, participants will be capable of:

• Gaining a foundational understanding of Python, R, Power Query, and Power BI for data analysis.
• Cleaning and organising datasets using Python and Power Query.
• Conducting statistical analysis and forecasting with R.
• Developing professional dashboards and reports with Power BI.
• Effectively integrating and analysing data from diverse sources.

Shiny is an R package that empowers users to construct interactive and dynamic web applications directly from R, eliminating the need for JavaScript expertise or complex web frameworks.

This instructor-led live training (available online or onsite) is designed for intermediate-level R users who want to build and deploy custom web applications using Shiny for data visualisation, user interaction, and reporting.

By the conclusion of this training, participants will be able to:

• Create interactive web applications using Shiny and R.
• Design user interfaces featuring reactive elements and dynamic inputs.
• Incorporate data visualisations and reporting features into Shiny applications.
• Deploy and share Shiny apps locally or online via Shiny Server or Posit Cloud.

Format of the Course

• Interactive lecture and discussion.
• Ample exercises and practice opportunities.
• Hands-on implementation within a live-lab environment.

Course Customisation Options

• To request a bespoke training session for this course, please contact us to arrange.

This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level to advanced-level computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

By the end of this training, participants will be able to:

• Effectively use Stata for data analysis and statistical modelling.
• Compare Stata’s functionalities with SPSS and R.
• Integrate Stata with R for seamless statistical computing.
• Develop and automate workflows using Stata and R.

R is a widely adopted, open-source platform for statistical computing, data analytics, and graphics. This course provides an introduction to the R programming language for students, covering foundational language elements, key libraries, and advanced concepts. Participants will engage in advanced data analytics and visualisation techniques using real-world datasets.

Audience

Developers and data analysts

Duration

3 days

Format

Lectures and Hands-on Exercises

Data analytics is an essential instrument for businesses today. Our focus throughout the course is on cultivating practical, hands-on data analysis skills. The goal is to equip participants with the ability to provide evidence-based answers to key questions:

What has occurred?

• processing and analysing data
• creating informative data visualisations

What will occur?

• forecasting future performance
• evaluating forecasts

What should occur?

• transforming data into evidence-based business decisions
• optimising processes

This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

Big Data denotes technologies designed for the storage and processing of extensive data sets. Originally pioneered by Google, these Big Data solutions have evolved and inspired numerous similar initiatives, many of which are available as open-source software. R is a widely used programming language within the financial sector.

This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for insights.

By the end of this training, participants will be able to:

• Understand the basics of R Programming.
• Apply fundamental data science processes.
• Create visual representations of data.

This instructor-led, live training in Australia (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME.

By the end of this training, participants will be able to:

• Plan, build, and deploy machine learning models in KNIME.
• Make data driven decisions for operations.
• Implement end to end data science projects.

This instructor-led, live training in (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis.

By the end of this training, participants will be able to:

• Create statistical models for predicting key interest variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and more.
• Manage and structure large databases to prepare for data analysis.

Upon completion of this training, participants will be able to:

This instructor-led, live training in Australia (online or onsite) is targeted at data scientists keen to programme in R for Tableau.

• Implement Tableau analytics with R.
• Return values to Tableau with learning algorithms in R.
• Structure and visualise R functions in Tableau.
• Make data-driven decisions for business operations.

Description:

This course is designed to equip R users with the skills to build web applications without the need to learn cross-browser HTML, JavaScript, and CSS.

Objective:

It covers the fundamental workings of Shiny applications.

It addresses all commonly used input, output, rendering, and paneling functions within the Shiny library.

This instructor-led, live training in Australia (online or onsite) is tailored for intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Utilise the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.