Design of Experiments (DoE) Training Course

This instructor-led live training in Vietnam (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 Vietnam (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.

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 instructor-led, live training in Vietnam (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.

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

This instructor-led, live training in Vietnam (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 Vietnam (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.

This instructor-led, live training in Vietnam (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.

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.

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 Vietnam (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.

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 Vietnam (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.