Statistics Training in Taichung

This instructor-led, live training in Taichung (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 Taichung (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 Taichung (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 Taichung (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 Taichung (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 Taichung (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 Taichung (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 Taichung (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 Taichung (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 Taichung (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 Taichung (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 Taichung (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

Target Audience

This course is designed for analysts, researchers, scientists, graduates, and students, as well as anyone interested in mastering statistical analysis techniques within Microsoft Excel.

Course Objectives

By the end of this course, participants will have a deeper understanding of Excel and statistical concepts, enabling them to enhance the efficiency and effectiveness of their work and research.

The curriculum covers the use of the Analysis ToolPak in Microsoft Excel, statistical functions, and fundamental statistical procedures. It also addresses Excel's limitations and provides strategies to overcome them.

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

Unstructured data is estimated to constitute over 90 percent of all data, with text serving as the predominant form. This volume continues to expand daily through blog posts, tweets, social media activity, and other digital publications.

This instructor-led, live course focuses on extracting meaningful insights from such data. By leveraging the R programming language alongside Natural Language Processing (NLP) libraries, we integrate principles and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically interpret the meaning embedded within text. Data samples are available in various languages, tailored to meet specific client requirements.

Upon completing this training, participants will be equipped to prepare datasets (both large and small) sourced from disparate origins, and to apply appropriate algorithms to analyze and report on their significance.

Format of the Course

• A blend of lectures and discussions, with a strong emphasis on hands-on practice and occasional tests to assess understanding.

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.

R is a widely adopted programming language within the financial sector. It powers a broad spectrum of financial applications, from core trading systems to risk management platforms.

In this instructor-led live training, participants will learn to leverage R to build practical applications that address specific financial challenges.

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

• Grasping the fundamental concepts of the R programming language
• Choosing and applying R packages and techniques to organize, visualize, and analyze financial data sourced from various platforms (such as CSV, Excel, databases, and web APIs)
• Developing applications that resolve issues related to asset allocation, risk analysis, investment performance, and more
• Troubleshooting, integrating, deploying, and optimizing R applications

Audience

• Developers
• Analysts
• Quantitative Analysts (Quants)

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• This training is designed to provide solutions for key challenges encountered by finance professionals. If you have specific topics, tools, or techniques you wish to include or explore in greater depth, please contact us to arrange the session accordingly.

This instructor-led, live training in Taichung (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.

Objective:

To master the independent use of SPSS for advanced applications, including dialog box navigation and command language syntax, across selected analytical techniques.

Target Audience:

This course is designed for analysts, researchers, scientists, students, and anyone seeking to acquire proficiency in using SPSS at an advanced level and to learn selected statistical models. The training addresses universal analytical challenges and can be tailored to specific industries.

This instructor-led live training in Taichung (online or onsite) is designed for business analysts who wish to automate their trading using algorithmic trading, Python, and R.

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

• Utilize algorithms to rapidly buy and sell securities at specific increments.
• Lower trading costs by leveraging algorithmic trading techniques.
• Automatically monitor stock prices and execute trades without manual intervention.

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 Taichung (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 Taichung (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis.

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

• Use cluster analysis for data mining
• Master R syntax for clustering solutions.
• Implement hierarchical and non-hierarchical clustering.
• Make data-driven decisions to help to improve business operations.

This instructor-led, live training in Taichung (online or onsite) is aimed at beginner-level professionals who wish to gain a mastery of the fundamentals of R and how to work with data.

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

• Understand the R programming environment and RStudio interface.
• Import, manipulate, and explore datasets using R commands and packages.
• Perform basic statistical analysis and data summarization.
• Generate visualizations using both base R and ggplot2.
• Manage workspaces, scripts, and packages effectively.

This course is designed for individuals who already have a background in data science and statistics. The explanations provided aim to serve as a refresher for those already familiar with the concepts or to inform those with a suitable background.

This instructor-led, live training in Taichung (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 course is designed for individuals interested in statistical analysis. It provides familiarity with Minitab and will increase the effectiveness and efficiency of your data analysis and improve your knowledge of statistics.

In this instructor-led, live training, participants will learn advanced techniques for Machine Learning with R as they step through the creation of a real-world application.

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

• Understand and implement unsupervised learning techniques
• Apply clustering and classification to make predictions based on real world data.
• Visualize data to quickly gain insights, make decisions and further refine analysis.
• Improve the performance of a machine learning model using hyper-parameter tuning.
• Put a model into production for use in a larger application.
• Apply advanced machine learning techniques to answer questions involving social network data, big data, and more.

R is an open-source, free programming language designed for statistical computing, data analysis, and data visualization. A growing number of corporate managers and academic data analysts utilize R. It has also gained popularity among statisticians, engineers, and scientists who lack traditional computer programming skills, due to its user-friendly interface. Its widespread adoption stems from the increasing reliance on data mining for diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R offers a rich ecosystem of packages dedicated to data mining.

R is an open-source, freely available programming language designed for statistical computing, data analysis, and graphics. Its adoption is expanding among managers and data analysts within both corporate environments and academic institutions. Additionally, R has garnered popularity among statisticians, engineers, and scientists who may lack extensive computer programming experience but appreciate its user-friendly nature. This growing appeal stems from the increasing utilization of data mining to achieve diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, or refining financial models. R offers a comprehensive suite of packages tailored for data mining tasks.

Designed for data scientists and statisticians who already possess foundational knowledge of R and C++ programming, this course focuses on mastering advanced R coding techniques.

The objective is to provide a practical, high-level R programming experience for participants eager to implement these methods in their professional work.

Industry-specific examples are integrated throughout the training to ensure the content is highly relevant to the audience.

Shiny is an open-source R package that serves as a web framework for creating interactive web applications using R.

In this instructor-led live training, participants will discover how to blend data science and web development by leveraging Shiny, R, and HTML.

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

• Develop interactive web applications using R and Shiny

Audience

• Data scientists
• Web developers
• Statisticians

Course Format

• A mix of lectures and discussions, featuring exercises and extensive hands-on practice

This instructor-led, live training in Taichung (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.

This instructor-led, live training in Taichung (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to perform statistical analysis using SPSS to interpret data accurately, run complex statistical tests, and generate meaningful insights.

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

• Navigate the SPSS interface and manage datasets efficiently.
• Perform descriptive and inferential statistical analyses.
• Conduct t-tests, ANOVA, MANOVA, regression, and correlation analyses.
• Apply non-parametric tests, principal component analysis, and factor analysis for advanced data interpretation.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate-level analysts, researchers, and professionals who aim to leverage SPSS for data preparation, statistical analysis, and predictive modeling.

This course is designed for decision-makers whose primary objective is not to perform calculations and analysis themselves, but to comprehend them and select the appropriate statistical methods for their organization's strategic planning.

For instance, a prospective participant may need to decide how many samples must be collected before making a go/no-go decision on a product launch.

If you require a more comprehensive course covering the fundamentals of statistical thinking, please consider the 5-day "Statistics for Managers" training.

This course is designed for individuals seeking to develop foundational statistical competencies. It can also be customized to address specific professional domains, such as market research, biology, manufacturing, or public sector analysis.

This course is designed to help researchers grasp the fundamental principles of statistical design and analysis, as well as their application across various scientific fields.

The curriculum covers key probability and statistical methods, primarily demonstrated through practical examples. The training structure consists of approximately 30% lectures and 70% guided quizzes and hands-on labs.

For closed courses, we can customize the examples and materials to suit specific industries, such as psychology assessments, public sector operations, biology, genetics, and more.

In contrast, public courses utilize a mix of general examples to accommodate diverse participants.

While the course involves working with various software tools, ranging from Microsoft Excel to SPSS and Statgraphics, the primary emphasis remains on understanding the underlying principles and processes that guide research, reasoning, and conclusions.

Additionally, this course can be offered in a blended format, incorporating homework and assignments to enhance learning.

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 Taichung (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 Taichung (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.

This instructor-led, live training in Taichung (online or onsite) is aimed at intermediate-level data professionals who wish to use Tableau to create advanced visualizations and dashboards for data-driven decision-making.

By the end of this training, participants will be able to: build advanced charts, use calculated fields and parameters, design interactive dashboards, and share insights effectively.

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 Taichung (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.

Target Audience

• managers
• developers
• scientists
• students

Course Format

online instruction and discussion OR face-to-face workshops

R is an open-source, free programming language designed for statistical computing, data analysis, and graphics. It is increasingly adopted by managers and data analysts within both corporate and academic sectors. R has also gained popularity among statisticians, engineers, and scientists who may lack advanced programming skills but appreciate its ease of use. Its widespread adoption stems from the growing demand for data mining to achieve objectives such as optimizing pricing strategies, accelerating drug discovery, or refining financial models. R offers a rich ecosystem of packages tailored for data mining.

This course explores the manipulation of R objects, including data ingestion, accessing R packages, writing R functions, and creating insightful visualizations. It also covers data analysis using common statistical models. Participants will learn to utilize the R software (https://www.r-project.org) through both command-line interfaces and a graphical user interface (GUI).