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The Relevance (Why the course is being taught)

R is regarded as one of the popular open-source programming languages for statistical and data analysis tasks. This course will expose you to the fundamentals of R coding, data manipulation, and data visualization, giving you the knowledge and skills, you need to handle data for research, finance and business.

Course Modules

1. Introduction to R
i. Installation and Set Up

2. R Basics
i. R syntax and data types 
ii. Basic operations and functions

3. Data Manipulation and Analysis 
i. Importing and exporting data 
ii. Exploring and summarizing data 
iii. Data cleaning and preprocessing 
iv. Data merging and appending 

4. Data Visualization
i. Creating basic plots (scatter plots, bar plots, histograms) 
ii. Customizing plots (labels, titles, colours) 
iii. Plotting multiple variables and facets

5. Statistical Analysis with R
i. Descriptive statistics 

 

 

 

 

Course Entry Requirements

The Course Costs 500,000 Ugx

Subjects for Admission


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Desirable Subjects (X1) [?]
Fees Structure Per Semester
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Course Career Paths

Chase your dreams in heels of your course. Know where this course is taking you by checking out the careers associated to it listed below

Interviews related to Introduction to R Programming

Hear and learn from those that did the course and what they have been able to do with the knowledge they acquired

Where Graduates Work

After this course, you can work as a Digital Feed Operations Analytics Manager, Predictive Market Analyst, Social Data Analyst

Scholarships to study Introduction to R Programming

Other Courses Currently Admitting for January 2024 Intake

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