Online R Language Training in Botswana

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

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level R users who wish 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 Botswana (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

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

This instructor-led, live training in Botswana (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.

Shiny is an R package that allows users to create interactive and dynamic web applications directly within R, eliminating the need for JavaScript knowledge or complex web frameworks.

This instructor-led live training, available online or onsite, targets intermediate-level R users who wish to construct and deploy custom web applications using Shiny for data visualization, user interaction, and reporting.

Upon completing 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 applications.
• Deploy and share Shiny apps locally or online via Shiny Server or Posit Cloud.

Course Format

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

Customization Options

• For a customized training version of this course, please contact us to make arrangements.

This instructor-led, live training in Botswana (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 acclaimed, open-source environment designed for statistical computing, data analytics, and graphics. This course introduces learners to the R programming language, covering foundational language elements, essential libraries, and advanced concepts. Participants will engage in advanced data analytics and graphical representation using real-world datasets.

Target Audience

Software Developers and Data Analytics Professionals

Duration

3 days

Delivery Format

Lecture-based instruction combined with practical, hands-on exercises

Data analytics plays an essential role in modern business. This course concentrates on building practical, hands-on skills for data analysis. Our objective is to empower participants with the ability 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 Botswana (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' refers to solutions designed for storing and processing large data sets. Originally developed by Google, these Big Data solutions have evolved and inspired other similar projects, many of which are now available as open-source software. R is a widely used programming language in the financial industry.

This instructor-led, live training in Botswana (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 Botswana (online or onsite) is designed for data scientists who wish to programme in Python and R for KNIME.

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

• Plan, construct, and deploy machine learning models using KNIME.
• Make data-driven decisions to optimise operations.
• Execute end-to-end data science projects.

This instructor-led, live training (available online or onsite) targets data analysts who wish to utilise Stata and R to analyse big data for statistical purposes.

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

• Develop statistical models to predict key variables of interest and specific events.
• Produce descriptive visualisations, summary tables, frequency distributions, and additional outputs.
• Manage and structure extensive databases to ensure readiness for data analysis.

Upon completing this training, participants will have acquired the following skills:

This live, instructor-led training in Botswana (online or onsite) is designed for data scientists who wish to programme in R for use with Tableau.

• Integrate Tableau analytics with R.
• Pass results back to Tableau using R learning algorithms.
• Organise and visualise R functions within Tableau.
• Make evidence-based decisions to support business operations.

Summary:

This course is tailored to equip R users with the skills to build web applications without requiring them to master cross-browser HTML, JavaScript, and CSS.

Goals:

Explores the fundamental principles behind how Shiny applications function.

Encompasses all the essential input, output, rendering, and paneling functions found within the Shiny library.

This instructor-led, live training in Botswana (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.