Statistics Training in Busan

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

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

• Comprehend the core principles and concepts of Six Sigma Design (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.
• Acquire the skills necessary to effectively manage and lead DFSS projects.

This instructor-led live training, offered Busan (online or on-site), targets advanced professionals aiming to achieve comprehensive proficiency in the Six Sigma DMAIC methodology at the Black Belt level.

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

• Gain a thorough understanding of the Define, Measure, Analyze, Improve, and Control phases, specifically applied to complex projects.
• Acquire expertise in advanced statistical analysis methods to facilitate data-driven decisions.
• Direct large-scale Six Sigma projects and efficiently manage project teams.
• Execute significant process enhancements that support organizational objectives and strategic plans.

R Markdown is an authoring framework that integrates executable R code with narrative text to produce dynamic and reproducible documents.

This instructor-led training (available online or onsite) is designed for beginner to intermediate R users who want to create automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

Upon completing this training, participants will be able to:

• Construct R Markdown documents with embedded R code chunks and formatted text.
• Generate outputs in various formats, including HTML, PDF, and Word.
• Employ parameterized reports and conditional logic to create dynamic content.
• Customize document appearance using themes, templates, and LaTeX for professional presentations.

Course Format

• Interactive lectures and discussions.
• Extensive 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 arrange.

This instructor-led, live training in Busan (online or onsite) is aimed at intermediate-level professionals who wish to have a comprehensive understanding of the DMAIC methodology and prepare for the role of an effective Six Sigma Green Belts.

By the end 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 Busan (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.

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

• Gaining a comprehensive understanding of Lean Six Sigma principles.
• Applying Six Sigma methodologies to enhance process quality by eliminating defect causes and reducing variability.
• Combining Lean and Six Sigma methodologies to drive more efficient and effective process improvements.
• Mastering fundamental Lean Six Sigma tools and techniques, such as 5S, Kaizen, and process mapping, which Yellow Belts can apply to process improvement initiatives.

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

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

• Conduct data analysis utilizing Python, R, and SQL.
• Derive actionable insights through data visualization with Tableau.
• Facilitate data-driven decision-making for business operations.

This instructor-led live training in Busan (online or onsite) targets beginner-level professionals seeking to clean and analyze data, perform 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 Busan (online or onsite) is designed for advanced professionals seeking to acquire the skills necessary to manage complex Six Sigma initiatives and assume leadership roles in Lean implementations.

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

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

This instructor-led, live training in Busan (online or onsite) is aimed at beginner-level professionals who wish to have 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 empowers users to construct interactive and dynamic web applications directly within R, eliminating the need for JavaScript expertise or complex web frameworks.

This instructor-led, live training (available online or on-site) is designed for intermediate-level R users aiming to create and deploy custom web applications using Shiny for data visualization, user interaction, and reporting.

Upon completing this training, participants will be equipped to:

• Develop interactive web applications leveraging Shiny and R.
• Design user interfaces featuring reactive elements and dynamic inputs.
• Integrate data visualizations and reporting capabilities into Shiny applications.
• Deploy and distribute Shiny apps either locally or online using Shiny Server or Posit Cloud.

Format of the Course

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

Course Customization Options

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

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

Upon completing this training, participants will be able to:

• Recognize the benefits of designed experiments compared to other methodologies.
• Identify cause-and-effect relationships and interactions between factors.
• Acquire best practices and guidelines for conducting successful experimentation.

This instructor-led, live training in Busan (online or onsite) is designed for individuals seeking to learn and master the fundamentals of econometric analysis and modeling.

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

• Acquire a solid understanding of the fundamentals of econometrics.
• Effectively utilize Eviews and risk simulators.

This instructor-led, live training in Busan (online or onsite) is designed for intermediate to advanced-level computer science professionals seeking to leverage Stata for statistical analysis and integrate it with R.

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

• Effectively utilize Stata for data analysis and statistical modeling.
• Compare the functionalities of Stata with those of SPSS and R.
• Integrate Stata with R to facilitate seamless statistical computing.
• Develop and automate workflows using both Stata and R.

R is a widely popular, open-source environment designed for statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering its fundamental concepts, essential libraries, and advanced topics. Participants will engage in advanced data analytics and visualization techniques using real-world datasets.

Audience

Developers and data analysts

Duration

3 days

Format

Lectures combined with hands-on practice

Data analytics has become an essential asset for modern businesses. This course emphasizes the development of practical, hands-on data analysis skills. The primary objective is to equip participants with the ability to provide evidence-based responses to key business inquiries:

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 methods for automating intricate calculations and reporting processes. It covers essential concepts such as financial functions, INDEX-MATCH lookups, database queries, PivotTables, PivotCharts, and integrating external data. Participants will explore Goal Seek, Solver, the Analysis ToolPak, and VBA macros to streamline repetitive workflows. The training enables professionals to convert raw data into actionable financial insights and precise forecasts for strategic decision-making.

This instructor-led, live training in Busan (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 technologies designed for storing and processing large-scale datasets. Originally developed by Google, these Big Data solutions have evolved and inspired numerous similar open-source projects. R is a widely used programming language in the financial sector.

This instructor-led, live training in Busan (online or onsite) targets beginner-level data analysts who intend to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations to gain 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 intended for people that already have a background in data science and statistics. The explanations given are designed to either serve as a reminder to those that are already familiar with the concepts or inform those with a suitable background.

This instructor-led, live training in Busan (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.

Establishing trust in statistical analysis starts with Minitab, a widely adopted industry standard for quality assurance and data-driven decision-making. This course explores fundamental techniques spanning descriptive statistics, distribution modeling, regression analysis, experimental design, and control charts for process monitoring. It prepares professionals to utilize confidence intervals, hypothesis testing, and analysis of variance workflows to extract meaningful insights from complex datasets.

This instructor-led, live training in Busan (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 focuses on the essential statistical techniques and metrics for data professionals. It explores graphing and summarizing data distributions, understanding normal distribution patterns, and calculating key analytical measures such as mean, median, mode, standard deviation, and variance. The course provides participants with the foundational skills needed to handle real-world datasets and generate evidence-based results. It is ideal for anyone seeking to build a strong 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 statistic models for predicting key interest variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and more.
• Manage and structure large databases to preapare for data analysis.

Upon completing this training, participants will gain the ability to:

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

• Integrate R-based analytics into Tableau.
• Return values to Tableau using R's machine learning algorithms.
• Organize and visualize R functions using Tableau.
• Drive business operational decisions through data analysis.

This instructor-led, live training in Busan (online or onsite) 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 tailored to help R users build web applications without requiring prior knowledge of cross-browser HTML, JavaScript, or CSS.

Objective:

Introduces the fundamental concepts behind how Shiny applications function.

Explores the most frequently used input, output, rendering, and paneling functions within the Shiny library.

This instructor-led, live training in Busan (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.