R Language Training in Myanmar

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

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

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

• Perform data analysis using Python, R, and SQL.
• Derive insights through data visualization with Tableau.
• Make data-driven decisions to support business operations.

This instructor-led, live training in Myanmar (online or onsite) targets beginner-level professionals who want to clean and analyze data, make statistical forecasts, and generate insightful visualizations using these tools.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Conduct statistical analysis and forecasting using R.
• Design professional dashboards and reports with Power BI.
• Effectively integrate and analyze data from various sources.

Shiny is an R package that allows users to create interactive and dynamic web applications directly from R, without the need for JavaScript knowledge or complex web frameworks.

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

Upon completing this training, participants will be able to:

• Create interactive web applications using Shiny and R.
• Design user interfaces with reactive elements and dynamic inputs.
• Incorporate data visualizations and reporting features 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.

Course Customization Options

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

This instructor-led, live training in Myanmar (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 widely used, open-source environment designed for statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering fundamental language features, essential libraries, and advanced concepts. Participants will learn advanced data analytics techniques and graphing methods using real-world datasets.

Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and hands-on practice

In the modern business landscape, data analytics serves as an essential asset. This course places a strong emphasis on cultivating practical, hands-on skills for effective data analysis. Our primary objective is to empower participants to provide evidence-based responses to key business inquiries:

What has occurred?

• processing and interpreting data
• creating insightful data visualizations

What is likely to occur?

• predicting future performance
• assessing the accuracy of forecasts

What ought to occur?

• translating data into evidence-driven business decisions
• refining and optimizing business processes

This instructor-led, live training in Myanmar (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.

The term 'Big Data' encompasses solutions designed for the storage and processing of extensive 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 adopted programming language within the financial industry.

This instructor-led live training in Myanmar (online or onsite) is tailored for beginner-level data analysts who aim to utilize R programming for data manipulation, basic data analysis, and creating compelling visualizations to uncover insights.

By the conclusion 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 Myanmar (online or onsite) is designed for data scientists who wish to program using 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, offered online or onsite, targets data analysts who wish to utilise Stata and R for big data analysis in statistical research.

Upon completing this training, participants will be capable of:

• Developing statistical models to predict key variables and events of interest.
• Producing descriptive visualizations, summary tables, frequency distributions, and additional analytical outputs.
• Managing and structuring large databases to prepare effectively for data analysis.

Upon completing this training, participants will be equipped with the following capabilities:

This instructor-led, live training in Myanmar (online or on-site) is targeted at data scientists who wish to programme in R for Tableau.

• Integrate Tableau analytics with R.
• Return values to Tableau using learning algorithms in R.
• Structure and visualize R functions within Tableau.
• Facilitate data-driven decision-making for business operations.

Description:

This course is tailored to help R users build web applications without the need to master cross-browser HTML, JavaScript, and CSS.

Objective:

It explains the fundamental workings of Shiny applications.

It covers the essential input, output, rendering, and paneling functions commonly found in the Shiny library.

This instructor-led, live training in Myanmar (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.