Statistics Training in Auckland

This instructor-led, live training in Auckland (available online or on-site) is intended for intermediate-level engineers and designers who wish to apply DFSS principles to ensure quality is embedded into the product or process from the outset of the design phase.

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

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

This instructor-led, live training in Auckland (available online or on-site) is designed for advanced-level professionals seeking an in-depth understanding of the Six Sigma DMAIC methodology at the 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 an emphasis on complex projects.
• Gain expertise in advanced statistical analysis techniques to support data-driven decision-making.
• Lead large-scale Six Sigma projects and effectively manage project teams.
• Implement significant process improvements that align with organisational goals and strategies.

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 (delivered either online or on-site) is designed for intermediate-level professionals seeking a comprehensive understanding of the DMAIC methodology and preparation for the role of an effective Six Sigma Green Belt.

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

• Develop a thorough understanding of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
• Effectively apply a wide range of Six Sigma tools and techniques across each phase of the DMAIC process.
• Conduct and interpret statistical analyses to drive process improvement.
• Plan, execute, and manage a Six Sigma project from start to finish.

This instructor-led, live training in Auckland (online or onsite) is aimed at beginner-level professionals who wish to gain 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 eliminating the causes of defects and minimising variability.
• Integrate Lean and Six Sigma methodologies to achieve more efficient and effective process improvements.
• Teach 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 Auckland (delivered online or on-site) is designed for intermediate-level professionals who wish to gain a solid understanding of both Six Sigma and Lean principles, enabling them to lead significant process improvement initiatives within their organisations.

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

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

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.

This instructor-led, live training in Auckland (delivered online or on-site) is designed for advanced-level professionals seeking to develop the skills required to manage complex Six Sigma projects and assume leadership roles in Six Sigma and Lean initiatives.

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

• Develop a comprehensive understanding of advanced Six Sigma and Lean methodologies and tools.
• Lead complex process improvement projects aligned with organisational strategies.
• Conduct sophisticated statistical analyses and make data-driven decisions.
• Effectively lead change initiatives and foster a culture of continuous improvement.

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

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

• Gain knowledge 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 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 designed for beginner-level professionals who wish to gain a foundational understanding of the Six Sigma methodology and its core principles.

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

• Grasp the fundamentals of Six Sigma and learn the DMAIC process.
• Understand the specific roles and responsibilities of a White Belt within a Six Sigma project.
• Learn how to apply Six Sigma principles to identify opportunities for improvement and support Six Sigma initiatives across the organisation.

This instructor-led, live training in Auckland (online or on-site) is designed for scientists who wish to learn and apply the Design of Experiments (DoE) to understand the cause-and-effect relationships between multiple factors.

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

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

This instructor-led, live training in Auckland (online or on-site) is designed for anyone wishing to learn and master the fundamentals of econometric analysis and modelling.

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

• Learn and understand the fundamentals of econometrics.
• Use Eviews and Risk Simulator.

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

Analysing Financial Data in Excel 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. The course dives into Goal Seek, Solver, Analysis ToolPak, and VBA macros for automating recurring workflows. It helps professionals transform raw figures into actionable financial insights and accurate forecasts for strategic planning.

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.

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 Auckland (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 essential statistical techniques and metrics used by data professionals. It delves into the graphing and summarising of data distributions, understanding patterns of normal distribution, and calculating key analytical measures such as mean, median, mode, standard deviation, and variance. This course equips participants with the foundational skills required to manage real-world datasets and generate evidence-based results. It is ideal for anyone looking to build a strong quantitative base for careers in data science and analytics.

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.

This instructor-led, live training in Auckland (available online or on-site) is aimed at advanced-level data professionals who wish to use Tableau to build complex visualisations, 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 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.