R Language Training in Auckland

R Markdown is an authoring framework that combines executable R code with narrative text to create dynamic and reproducible documents.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate R users who want to produce automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

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

• Create R Markdown documents with embedded R code chunks and formatted text.
• Generate outputs in multiple formats, including HTML, PDF, and Word.
• Use parameterised reports and conditional logic to generate dynamic content.
• Customise document appearance using themes, templates, and LaTeX for professional presentation.

Course Format

• Interactive lectures and discussions.
• Abundant exercises and hands-on practice.
• Real-time implementation in a live-lab environment.

Course Customisation Options

• To request a customised version of this course, please contact us to arrange.

This instructor-led, live training in Auckland (online or on-site) is designed for data analysts and anyone keen to learn 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:

• Conduct data analysis using Python, R, and SQL.
• Generate actionable insights through data visualisation with Tableau.
• Make data-driven decisions to enhance business operations.

This instructor-led, live training in Auckland (online or on-site) is designed for beginner-level professionals who wish to clean and analyse data, make statistical projections, and create insightful visualisations using these tools.

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

• Understand the basics of Python, R, Power Query, and Power BI for data analysis.
• Clean and organise datasets using Python and Power Query.
• Perform statistical analysis and projections with R.
• Create professional dashboards and reports with Power BI.
• Integrate and analyse data from multiple sources effectively.

Shiny is an R package that enables users to build interactive and dynamic web applications directly from R, without requiring knowledge of JavaScript or complex web frameworks.

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

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

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

Format of the Course

• Interactive lecture and discussion.
• Plenty of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

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

This instructor-led, live training in Auckland (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 used, open-source environment for statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering language fundamentals, libraries, and advanced concepts. Participants will explore advanced data analytics and visualisation using real-world datasets.

Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and hands-on sessions

Data analytics is a vital tool in today's business landscape. Throughout this course, we focus on building practical, hands-on skills for data analysis. The goal is to empower participants to provide evidence-based answers to key questions: 

What has happened?

• processing and analysing data
• creating insightful data visualisations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

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

This instructor-led, live training in Auckland (online or on-site) is designed for intermediate-level advanced R users who wish to leverage R to build faster workflows, enhance code quality, and tackle more complex analytical tasks.

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

Big Data is a term referring to solutions designed for storing and processing large-scale datasets. Initially developed by Google, these Big Data solutions have evolved and inspired numerous similar projects, many of which are available as open-source. R is a widely used programming language within the financial industry.

This instructor-led, live training in Auckland (delivered online or on-site) is designed for beginner-level data analysts who wish to use R to manipulate data, perform foundational data analysis, and create compelling visualisations to derive insights.

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

• Understand the fundamentals of R programming.
• Apply core data science processes.
• Create visual representations of data.

This instructor-led, live training in Auckland (online or on-site) is designed for data scientists who wish to program in Python and R within 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 to support operations.
• Implement end-to-end data science projects.

This instructor-led, live training (available online or on-site) is designed for data analysts who wish to leverage Stata and R to analyse big data for statistical purposes.

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

• Create statistical models to predict key variables and events of interest.
• Generate descriptive visualisations, summary tables, frequency distributions, and more.
• Manage and structure large databases in preparation for data analysis.

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

This instructor-led, live training in Auckland (online or on-site) is tailored for data scientists who wish to program in R for use with Tableau.

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

Description:

This course is designed to teach R users how to create web applications without needing to learn cross-browser HTML, JavaScript, and CSS.

Objective:

It covers the fundamentals of how Shiny applications operate.

It also explores all commonly used input, output, rendering, and paneling functions available in the Shiny library.

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

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

• Understand 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.