Statistics Training in Canberra

This instructor-led, live training in Canberra (online or on-site) is designed for intermediate-level engineers and designers keen on leveraging DFSS to embed quality into a product or process from the very beginning of the design phase.

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

• Grasp the core principles and concepts of Design Six Sigma (DFSS).
• Learn the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
• Utilise DFSS tools and techniques to design and optimise processes.
• Develop the skills necessary to manage and lead DFSS projects effectively.

This instructor-led, live training in Canberra (online or onsite) is aimed at advanced-level professionals who wish to gain an in-depth understanding of the Six Sigma DMAIC methodology at a Black Belt level.

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

• Develop a comprehensive understanding of the Define, Measure, Analyze, Improve, and Control phases with a focus on complex projects.
• Gain expertise in advanced statistical analysis techniques for data-driven decision-making.
• Lead large-scale Six Sigma projects and manage project teams effectively.
• Implement significant process improvements that align with organizational goals and strategies.

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 Canberra (available online or onsite) is aimed at intermediate-level professionals who wish to gain a comprehensive understanding of the DMAIC methodology and prepare for the role of an effective Six Sigma Green Belt.

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

• Gain a thorough knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
• Apply a wide range of Six Sigma tools and techniques effectively within each phase of DMAIC.
• Perform and interpret statistical analyses for process improvement.
• Plan, execute, and manage a Six Sigma project.

This instructor-led, live training in Canberra (online or onsite) is designed for beginner-level professionals seeking a fundamental understanding of Six Sigma and Lean principles to integrate them and improve business processes.

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

• Gain a solid understanding of Lean Six Sigma principles.
• Apply Six Sigma methodologies to enhance process quality by removing the causes of defects and minimising variability.
• Integrate Lean and Six Sigma methodologies to achieve more efficient and effective process improvements.
• Demonstrate basic Lean Six Sigma tools and techniques that Yellow Belts can apply in process improvement projects, such as 5S, Kaizen, and process mapping.

This instructor-led, live training in Canberra (online or onsite) is designed for intermediate-level professionals who wish to understand both Six Sigma and Lean principles in order to lead significant process improvement projects within their organisations.

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

• Develop a thorough understanding of how Lean and Six Sigma methodologies can be integrated for process improvement.
• Acquire in-depth knowledge and practical skills in the Define, Measure, Analyze, Improve, and Control phases.
• Apply advanced statistical tools to facilitate data-driven decision-making and process analysis.
• Effectively lead and manage Lean Six Sigma projects.

This instructor-led, live training in Canberra (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 Canberra (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.

This instructor-led, live training in Canberra (online or onsite) targets advanced-level professionals seeking to acquire the skills necessary to manage complex Six Sigma projects and assume a leadership position in Six Sigma and Lean implementations.

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

• Gaining an in-depth understanding of advanced Six Sigma and Lean methodologies and tools.
• Leading complex process improvement initiatives that align with organisational strategies.
• Conducting complex statistical analyses and making data-driven decisions.
• Effectively leading change initiatives and fostering a culture of continuous improvement.

This instructor-led, live training in Canberra (online or onsite) is targeted at beginner-level professionals who wish to develop a deeper understanding of the Six Sigma methodology and its core principles, as well as master the DMAIC process.

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

• Acquire knowledge that extends beyond the basic principles covered in the White Belt course.
• Master the DMAIC process and learn advanced Six Sigma tools.
• Learn how to effectively contribute to a Six Sigma project team and collaborate with Green and Black Belts.
• Apply Six Sigma methodologies to real-world business processes for improvement.

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 Canberra (online or onsite) is aimed at beginner-level professionals who wish to have a basic understanding of the Six Sigma methodology and its principles.

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

• Understand the basics of Six Sigma and learn the DMAIC process.
• Understand the specific roles and responsibilities of a White Belt in the context of a Six Sigma project.
• Learn how to apply Six Sigma principles to identify improvement opportunities and support Six Sigma projects within an organization.

This instructor-led, live training in Canberra (online or onsite) is aimed at scientists who wish to learn and use the Design of Experiments (DoE) to understand the cause-and-effect relationship between multiple factors.

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

• Understand the advantages of designed experiments over other approaches.
• Understand the cause-and-effect relationships and interactions between factors.
• Learn the best practices and guidelines for conducting successful experimentation.

This instructor-led, live training in Canberra (online or onsite) is designed for anyone keen to learn and master the fundamentals of econometric analysis and modelling.

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

• Learn and understand the core principles of econometrics.
• Utilise Eviews and risk simulators.

This instructor-led, live training in Canberra (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 course empowers financial analysts and accountants with advanced techniques for automating complex calculations and reports. It covers core principles of financial functions, INDEX-MATCH lookups, database queries, PivotTables, PivotCharts, and external data integration. It dives into Goal Seek, Solver, Analysis ToolPak, and VBA macros for automating recurring workflows. Helps professionals transform raw figures into actionable financial insights and accurate forecasts for strategic planning.

This instructor-led, live training in Canberra (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 Canberra (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 Canberra (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.

Building confidence in statistical analysis begins with Minitab, an industry-standard tool for quality assurance and analytical decision making. Explores core techniques across descriptive statistics, distribution modelling, regression methods, experimental design, and control charts for process monitoring. Equips practitioners to deploy confidence intervals, hypothesis testing, and analysis of variance workflows to surface actionable signals within complex datasets.

This instructor-led, live training in Canberra (online or onsite) is aimed at process department personnel and operations team members who wish to master practical process improvement techniques using Six Sigma principles and BPMN 2.0 modelling.

Statistics Level 1 explores fundamental statistical techniques and measures essential for data professionals. The course delves into graphing and summarising data distributions, understanding normal distribution patterns, and calculating key analytical measures such as mean, median, mode, standard deviation, and variance. It equips participants with the foundational skills required to manage real-world datasets and generate evidence-based results. This course is ideal for anyone looking to build a robust quantitative foundation for data science and analytics.

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 Canberra (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.

This instructor-led, live training in Canberra (online or onsite) is aimed at advanced-level data professionals who wish to use Tableau to build complex visualizations, optimise dashboards, and perform advanced data analysis.

By the end of this training, participants will be able to: install and configure Tableau for advanced use, create advanced calculations, design interactive dashboards, and optimise performance.

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 Canberra (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.