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R Markdown for Dynamic Documents and Reproducible Reporting

 14 Hours
This instructor-led training in Kenya covers R Markdown fundamentals for dynamic, reproducible reports. It equips R users to create code-chunk documents, render outputs to HTML, PDF, and Word, and apply parameterized reports, themes, and LaTeX styling for professional, automated documentation.
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Data Analytics with Tableau, Python, R, and SQL

 35 Hours

This instructor-led, live training in Kenya (online or on-site) 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.
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Data Analysis with Python, R, Power Query, and Power BI

 21 Hours

This instructor-led live training in Kenya (online or onsite) is targeted at beginner-level professionals who want to clean and analyze data, develop statistical projections, and create 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 in the context of data analysis.
  • Clean and organize datasets using Python and Power Query.
  • Conduct statistical analysis and projections with R.
  • Design professional dashboards and reports using Power BI.
  • Effectively integrate and analyze data from various sources.
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Shiny App Web Development with R

 14 Hours
This instructor-led Shiny training in Kenya empowers intermediate R users to build interactive web apps without JavaScript. Learn to design reactive UIs, integrate data visualizations, and deploy applications. Gain hands-on skills for creating dynamic dashboards and reports efficiently.
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Statistical Analysis with Stata and Integration with R

 35 Hours

This instructor-led, live training in Kenya (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.
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Data Analytics With R

 21 Hours
This hands-on course in Kenya covers R fundamentals, data preparation, and visualization using packages like ggplot2. Over three days, participants explore statistical modeling, regression, and machine learning techniques such as clustering and classification with real-world data.
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Data and Analytics - from the ground up

42 Hours
This practical course in Kenya builds foundational data analytics skills using Excel, VBA, and R. Participants will learn data manipulation, visualization, and machine learning techniques to forecast trends, optimize processes, and make evidence-based business decisions.
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Advanced R

 14 Hours

This instructor-led, live training in Kenya (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.

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Programming with Big Data in R

 21 Hours
Explore the fundamentals of programming with Big Data in R, a language popular in finance. This course in Kenya covers environment setup, MPI for parallel processing, and distributed matrices. Learn to handle large datasets, perform distributed regression, and apply Monte Carlo methods efficiently.
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Introductory R (Basic to Intermediate)

 14 Hours

This instructor-led live training in Kenya (online or onsite) targets beginner-level data analysts who wish to utilize R programming to manipulate data, conduct fundamental data analysis, and produce engaging 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.
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KNIME with Python and R for Machine Learning

 14 Hours

This instructor-led, live training in Kenya (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.
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Statistical Analysis with Stata and R

 35 Hours

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.
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Data Science with Tableau and R Programming

 14 Hours

Upon completion of this training, participants will be equipped with the ability to:

This instructor-led, live training Kenya (available online or onsite) is tailored for data scientists who wish to programme in R for Tableau.

  • Execute Tableau analytics by integrating R.
  • Return values to Tableau using learning algorithms developed in R.
  • Organise and visualise R functions within the Tableau interface.
  • Drive business operational decisions through data insights.
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Building Web Applications in R with Shiny

 7 Hours
This course in Kenya teaches R users to build web applications using Shiny without needing deep HTML or CSS skills. It covers core concepts, UI customization, advanced reactive features, and data sharing, providing practical guidance for creating dynamic, interactive data applications.
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Forecasting with R

 14 Hours

This instructor-led, live training in Kenya (online or on-site) is designed for intermediate-level data analysts and business professionals who aim to conduct time series forecasting and automate data analysis workflows using R.

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

  • Comprehend the basics of forecasting techniques in R.
  • Apply exponential smoothing and ARIMA models for time series analysis.
  • Leverage the 'forecast' package to develop accurate forecasting models.
  • Automate forecasting workflows for business and research applications.
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Testimonials (6)

a multitude of points

Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB

Course - Statistical Analysis with Stata and R

knowledge of the trainer, tailor based, all topics covered

eleni - EUAA

Course - Forecasting with R

The real life applications using Statcan and CER as examples.

Matthew - Natural Resources Canada

Course - Data Analytics With R

Trainer was good. Had a good rapport with him. Was able to ask him anything and was knowledgeable.

Pranay - Lotterywest

Course - Building Web Applications in R with Shiny

Very practical

Deenan - Vodacom

Course - Data and Analytics - from the ground up

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course - Programming with Big Data in R

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