Enrolment options
Why This is needed Course & Target Audience: In today's data-driven world, the ability to analyze and interpret data is crucial for making informed decisions in any field. R is one of the most widely-used tools for statistical computing, offering powerful capabilities for data analysis, visualization, and predictive modeling. This course is needed because of Growing Demand for Data Analysis Skills, Hands-on Learning with a Leading Tool, Increased Analytical Capabilities and Industry Relevance. The target audience are Aspiring Data Scientists and Analysts, Researchers and Academics, Business Professionals and Managers, Students in STEM Fields and Professionals in Public Health, Social Sciences, and Economics.
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Course Objectives: |
Course outcomes: |
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Master Data Import and Cleaning Techniques |
Proficiency in Data Cleaning and Manipulation |
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Conduct Exploratory Data Analysis (EDA) |
Strong Analytical Skills in Statistics and Modeling |
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Apply Statistical and Predictive Modeling |
Advanced Data Visualization Abilities |
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Create Effective Data Visualizations and Reports |
Experience with Reporting and Automation |
- Teacher: Hellen Namawejje
- Teacher: Thomas Odong
- Teacher: Susan Tumwebaze Balaba
- Enrolled students: There are no students enrolled in this course.
