R Language Training in Penang Island

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

Designed for beginner to intermediate R users, this instructor-led live training (available online or onsite) empowers participants 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:

• Construct R Markdown documents that embed R code chunks alongside formatted text.
• Generate outputs in various formats, including HTML, PDF, and Word.
• Employ parameterized reports and conditional logic to create dynamic content.
• Customize the visual appearance of documents using themes, templates, and LaTeX for a professional finish.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

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

This instructor-led live training, conducted Penang Island (online or onsite), is tailored for data analysts and individuals interested in learning how to integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Conduct data analysis using Python, R, and SQL.
• Derive actionable insights through data visualization with Tableau.
• Drive business operations with data-informed decision-making.

This instructor-led live training in Penang Island (online or on-site) is designed for 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.

Shiny is an R package that empowers users to create 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 on-site, is designed for intermediate-level R users who want to build and deploy custom web applications using Shiny for data visualization, user engagement, and reporting.

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

• Develop interactive web applications using Shiny and R.
• Design user interfaces featuring 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 practical practice.
• Hands-on implementation in a live laboratory environment.

Customization Options

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

This instructor-led, live training in Penang Island (online or onsite) is designed for intermediate to advanced 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 widely utilized, open-source environment designed for statistical computing, data analytics, and graphical representation. This course provides students with an introduction to the R programming language, encompassing its core fundamentals, library usage, and advanced concepts. Participants will explore advanced data analytics and graphing techniques utilizing real-world datasets.

Target Audience

Developers and data analysts

Duration

3 days

Format

Instructional lectures combined with practical, hands-on exercises

Data analytics plays an essential role in modern business operations. Throughout this course, we will concentrate on building practical, hands-on skills for effective data analysis. The primary objective 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 Penang Island (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 frameworks designed for storing and processing large volumes of data. Initially developed by Google, these Big Data solutions have evolved and inspired numerous similar projects, many of which are now available as open-source software. R is a widely adopted programming language within the financial sector.

This instructor-led, live training in Penang Island (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 instructor-led live training in Penang Island (online or onsite) is aimed at data scientists who wish to programme 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 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 Penang Island (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 tailored to equip R users with the skills to build web applications, eliminating the need to learn cross-browser HTML, JavaScript, and CSS.

Objective:

Explores the fundamental principles behind how Shiny applications function.

Encompasses all frequently utilised input, output, rendering, and paneling functions within the Shiny library.

This instructor-led, live training in Penang Island (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.