Applied Data Analytics with R
Master R programming for statistical analysis, data manipulation, and visualization in research and business contexts.
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About This Course
Course Overview
R is the gold standard for statistical computing and research. This comprehensive course takes you from R basics to advanced analytics, preparing you for real-world data analysis challenges.
What You Will Learn
- R programming fundamentals and RStudio environment
- Data manipulation with dplyr and tidyr
- Statistical analysis: regression, hypothesis testing, ANOVA
- Data visualization with ggplot2
- Working with different data formats (CSV, Excel, SPSS)
- Reproducible research with R Markdown
Who Should Attend
Researchers, statisticians, M&E professionals, and data analysts who want to leverage R for rigorous data analysis.
Dr. Emmanuel Ahishakiye
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Dr. Emmanuel Ahishakiye is a leading expert in Data Science and Artificial Intelligence, with extensive experience in applying advanced analytics to solve real-world challenges in healthcare, agriculture, and education. He has led groundbreaking projects, including AI-powered cancer and malaria detection, predictive modeling of crop yields, and the development of data-driven tools for education and public health. He is committed to bridging cutting-edge AI research with Africa's development priorities, driving sustainable solutions that improve lives and strengthen institutions.
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Course Specifications
Start Date
1 Jan 1970 | 00:00
Sections
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Lessons
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Capacity
Unlimited
Duration
50:00 Hours
Students
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Created Date
28 Jan 2026
Updated Date
28 Jan 2026
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Applied Data Analytics with R
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