Statistics Training in Taipei

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

Upon completing this training, participants will be able to:

• Grasp the fundamental principles and concepts of Design for Six Sigma (DFSS).
• Master the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
• Utilize DFSS tools and techniques to design and optimize processes effectively.
• Acquire the skills necessary to manage and lead DFSS projects with confidence.

This instructor-led, live training in Taipei (online or onsite) is designed for 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.

This instructor-led live training, available online or onsite, targets beginner to intermediate R users who want to generate 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 parameterized reports and conditional logic to generate dynamic content.
• Customize document appearance with themes, templates, and LaTeX for professional presentation.

Format of the Course

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

Course Customization Options

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

This instructor-led live training in Taipei (online or onsite) is designed for intermediate-level professionals aiming to gain a comprehensive understanding of the DMAIC methodology and prepare for the role of an effective Six Sigma Green Belt.

Upon completing this training, participants will be equipped to:

• Develop a deep understanding of the Define, Measure, Analyze, Improve, and Control phases within Six Sigma.
• Effectively apply a diverse array of Six Sigma tools and techniques across each stage of the DMAIC process.
• Conduct and interpret statistical analyses to drive process improvement.
• Plan, execute, and manage Six Sigma projects successfully.

This instructor-led, live training in Taipei (online or onsite) is aimed at beginner-level professionals who wish to have 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:

• Obtain a solid understanding of Lean Six Sigma principles.
• Use Six Sigma methodologies to improve process quality by removing the causes of defects and minimizing 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 Taipei (online or onsite) is aimed at intermediate-level professionals who wish to understand both Six Sigma and Lean principles in order to lead significant process improvement projects in their organizations.

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 for process improvement.
• Gain in-depth knowledge and application skills in the Define, Measure, Analyze, Improve, and Control phases.
• Apply advanced statistical tools for data-driven decision-making and process analysis.
• Lead and manage Lean Six Sigma projects effectively.

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

Upon completing this training, participants will be able to:

• Conduct data analysis using Python, R, and SQL.
• Generate insights through data visualization with Tableau.
• Drive business decisions with data-backed strategies.

This instructor-led live training, offered both online and onsite, targets beginner-level professionals eager to clean and analyze data, make statistical projections, and create insightful visualizations 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 organize datasets using Python and Power Query.
• Perform statistical analysis and projections with R.
• Create professional dashboards and reports with Power BI.
• Integrate and analyze data from multiple sources effectively.

This instructor-led, live training in Taipei (online or onsite) is designed for advanced professionals seeking to master the skills necessary to manage complex Six Sigma projects and assume leadership roles in Six Sigma and Lean initiatives.

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

• Gain a thorough understanding of advanced Six Sigma and Lean methodologies and tools.
• Lead complex process improvement projects that align with organizational strategies.
• Conduct sophisticated statistical analyses and make data-driven decisions.
• Effectively drive change initiatives and foster a culture of continuous improvement.

This instructor-led, live training in Taipei (online or onsite) is designed for beginner-level professionals seeking a deeper understanding of the Six Sigma methodology, its core principles, and proficiency in 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.
• Understand 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, targets intermediate-level R users aiming to develop and deploy custom web applications using Shiny for data visualization, user interaction, and reporting.

Upon completing this training, participants will be capable of:

• Building interactive web applications using Shiny and R.
• Designing user interfaces featuring reactive elements and dynamic inputs.
• Integrating data visualizations and reporting capabilities into Shiny apps.
• Deploying and sharing Shiny apps locally or online via Shiny Server or Posit Cloud.

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led live training in Taipei (online or onsite) is designed for beginner-level professionals who wish to gain a foundational understanding of the Six Sigma methodology and its principles.

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

• Comprehend the fundamentals of Six Sigma and become familiar with the DMAIC process.
• Understand the specific roles and responsibilities of a White Belt within a Six Sigma project context.
• Learn how to apply Six Sigma principles to identify opportunities for improvement and support Six Sigma initiatives within an organization.

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

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

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

This instructor-led live training in Taipei (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

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

• Learn and understand the fundamentals of econometrics.
• Utilize Eviews and risk simulators.

This instructor-led, live training in Taipei (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 modeling.
• 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 highly popular, open-source environment dedicated to statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering language fundamentals, essential libraries, and advanced concepts, along with practical advanced data analytics and graphing techniques using real-world datasets.

Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures combined with hands-on practice

Data analytics is a vital asset for modern businesses. This course emphasizes the development of practical, hands-on data analysis skills. Its goal is to equip participants with the ability to provide evidence-based responses to key questions: 

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

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

This course on Analyzing 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 delves into Goal Seek, Solver, Analysis ToolPak, and VBA macros for automating recurring workflows, helping professionals transform raw figures into actionable financial insights and accurate forecasts for strategic planning.

This instructor-led, live training in Taipei (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 refers to solutions designed for the storage and processing of large-scale data sets. Initially developed by Google, these Big Data solutions have evolved and inspired numerous similar projects, many of which are available as open-source software. R is a widely used programming language in the financial industry.

This instructor-led, live training in Taipei (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 Taipei (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. This course explores core techniques across descriptive statistics, distribution modelling, regression methods, experimental design, and control charts for process monitoring. It 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 Taipei (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 modeling.

Statistics Level 1 introduces essential statistical techniques and metrics tailored for data professionals. The course explores data visualization and the summarization of data distributions, with a focus on understanding normal distribution patterns and computing key analytical measures such as mean, median, mode, standard deviation, and variance. Participants will gain the foundational skills necessary to manage real-world datasets and generate evidence-based insights. This course is ideal for individuals seeking to build a robust quantitative base for data science and analytics.

This instructor-led live training, available online or onsite, targets data analysts who wish to use Stata and R to perform statistical analysis on big data.

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

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

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

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

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

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

Description:

This course is designed to empower R users with the skills to build web applications, eliminating the need to master cross-browser HTML, JavaScript, and CSS.

Objective:

Explores the fundamental mechanisms behind how Shiny applications function.

Encompasses all essential input, output, rendering, and paneling functions provided by the Shiny library.

This instructor-led, live training in Taipei (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.
• Utilize the 'forecast' package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.