R Language Training in Hsinchu

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 Hsinchu (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.

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 Hsinchu (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 instructor-led, live training in Hsinchu (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 Hsinchu (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 Hsinchu (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 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 Hsinchu (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.

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 Hsinchu (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.