Statistics Training in Hanoi

This instructor-led training, conducted either online or onsite at Hanoi, is designed for intermediate-level engineers and designers seeking to apply DFSS to embed quality into products or processes from the outset of the design phase.

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

• Understand the foundational principles and concepts of Design 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 optimize processes.
• Develop skills to manage and lead DFSS projects effectively.

This instructor-led, live training (Hanoi) (online or onsite) is intended for advanced-level professionals aiming to acquire an in-depth understanding of the Six Sigma DMAIC methodology at the Black Belt level.

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

• Develop a comprehensive grasp of the Define, Measure, Analyze, Improve, and Control phases, with an emphasis on complex projects.
• Acquire expertise in advanced statistical analysis techniques for making data-driven decisions.
• 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) is designed for beginner-to-intermediate level R users who aim to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

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

• Create R Markdown documents featuring embedded R code chunks and formatted text.
• Generate outputs in multiple formats, including HTML, PDF, and Word.
• Leverage parameterized reports and conditional logic to produce dynamic content.
• Customize document appearance through themes, templates, and LaTeX for a professional presentation.

Format of the Course

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

Course Customization Options

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

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

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

• Acquire in-depth knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
• Effectively apply a diverse array of Six Sigma tools and techniques across each stage of DMAIC.
• Conduct and interpret statistical analyses aimed at process improvement.
• Plan, execute, and manage Six Sigma projects.

This instructor-led, live training in Hanoi (online or on-site) 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 robust understanding of Lean Six Sigma principles.
• Apply Six Sigma methodologies to enhance process quality by eliminating defect causes and reducing variability.
• Combine Lean and Six Sigma approaches to drive more efficient and effective process improvements.
• Utilize essential Lean Six Sigma tools and techniques, such as 5S, Kaizen, and process mapping, in process improvement initiatives.

This instructor-led, live training in Hanoi (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 live, instructor-led training in Hanoi (available online or onsite) targets data analysts and individuals interested in learning how to utilize and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Conducting data analysis utilizing Python, R, and SQL.
• Generating actionable insights via data visualization in Tableau.
• Supporting business operations with data-driven decision-making.

This instructor-led, live training in Hanoi (online or onsite) is aimed at beginner-level professionals who wish 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 Hanoi (online or onsite) is designed for advanced professionals aiming to develop the skills required to manage complex Six Sigma projects and lead Six Sigma and Lean implementations.

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

• Develop a deep understanding of advanced Six Sigma and Lean methodologies and tools.
• Lead complex process improvement initiatives that support organizational strategies.
• Execute complex statistical analyses and make informed, data-driven decisions.
• Effectively lead change efforts and cultivate a culture of continuous improvement.

This instructor-led, live session in Hanoi (online or onsite) is designed for beginner-level professionals seeking a deeper grasp of Six Sigma methodology and its core principles, with a focus on mastering the DMAIC process.

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

• Expand their knowledge beyond the fundamental principles introduced in the White Belt course.
• Master the DMAIC framework and acquire proficiency in advanced Six Sigma tools.
• Learn to effectively contribute to Six Sigma project teams and collaborate with Green and Black Belts.
• Apply Six Sigma methodologies to enhance real-world business processes.

Shiny is an R package that allows users to create interactive and dynamic web applications directly within R, without needing expertise in JavaScript or complex web frameworks.

This instructor-led live training (available online or onsite) targets intermediate-level R users who want to build and deploy custom web applications for data visualization, user interaction, and reporting using Shiny.

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

• Develop interactive web applications using Shiny and R.
• Create user interfaces with reactive elements and dynamic inputs.
• Integrate data visualizations and reporting capabilities into Shiny apps.
• Deploy and share Shiny apps locally or online via Shiny Server or Posit Cloud.

Course Format

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

Customization Options for the Course

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

This instructor-led, live training in Hanoi (online or onsite) is designed for beginner-level professionals who wish to gain 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 Hanoi (online or onsite) targets scientists seeking to learn and utilize Design of Experiments (DoE) to understand cause-and-effect relationships among multiple factors.

Upon completing this training, participants will be able to:

• Appreciate the advantages of designed experiments over alternative approaches.
• Grasp cause-and-effect relationships and factor interactions.
• Acquire best practices and guidelines for effective experimentation.

This instructor-led, live training in Hanoi (online or on-site) 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 Hanoi (online or onsite) targets intermediate to advanced computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

Upon completing this training, participants will be able to:

• Utilize Stata effectively for data analysis and statistical modeling.
• Compare the functionalities of Stata with those of SPSS and R.
• Seamlessly integrate Stata with R for efficient statistical computing.
• Develop and automate workflows using both 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 fundamental concepts, libraries, and advanced topics. Participants will learn advanced data analytics techniques and graphing methods using real-world data.

Audience

Developers / Data Analysts

Duration

3 days

Format

Lectures and Hands-on Practice

Data analytics has become an essential asset for businesses today. Throughout this course, we will concentrate on building practical, hands-on data analysis skills. Our goal is to empower participants to provide evidence-based answers 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 empowers financial analysts and accountants with advanced techniques to automate complex calculations and reporting processes. It covers essential principles of financial functions, INDEX-MATCH lookups, database queries, PivotTables, PivotCharts, and the integration of external data. The curriculum dives into tools such as Goal Seek, Solver, Analysis ToolPak, and VBA macros to streamline recurring workflows. By the end, professionals will be able to transform raw numerical data into actionable financial insights and accurate forecasts for strategic planning.

This instructor-led live training in Hanoi (online or onsite) is aimed at intermediate-level R users who wish to leverage 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, enhance data workflows, debug and optimize code, and produce reproducible reports.

The term 'Big Data' encompasses solutions designed for the storage and processing of massive datasets. Initially pioneered by Google, these Big Data frameworks have evolved to inspire numerous analogous projects, many of which are now available as open-source tools. In the financial sector, R stands out as a widely adopted programming language.

This instructor-led live training in Hanoi (online or onsite) targets 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 course is designed for individuals who already possess a background in data science and statistics. The explanations provided aim to serve as a refresher for those familiar with the concepts while informing those with a suitable background.

This instructor-led, live training in Hanoi (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 Hanoi (online or onsite) targets 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 methods and metrics for data professionals. The course explores data visualization, summarizes data distributions, explains normal distribution patterns, and calculates critical analytical measures such as mean, median, mode, standard deviation, and variance. Participants will gain the foundational skills required to manage real-world datasets and generate evidence-based insights. This course is ideal for individuals seeking to establish a robust quantitative basis for careers in 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 statistic 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.

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

This instructor-led live training in Hanoi (online or onsite) is designed for data scientists who want to program with R for Tableau.

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

This instructor-led live training, held in Hanoi (online or on-site), is designed for advanced-level data professionals who wish to utilize 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 usage, create complex calculations, design interactive dashboards, and optimize performance.

Description:

This course is designed to enable R users to build web applications without the need to master cross-browser HTML, JavaScript, or CSS.

Objective:

Introduces the fundamental workings of Shiny applications.

Explores all commonly utilized input, output, rendering, and paneling functions within the Shiny library.

This instructor-led, live training in Hanoi (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.