INTRODUCTION TO STATISTICAL ANALYSIS USING R

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Course Synopsis

This Course offers a comprehensive introduction to statistical analysis using R. Dive into a robust software toolkit designed for data processing, calculations, and graphical display. Explore efficient data handling and storage, along with a versatile set of operators for array manipulation, including matrices. Discover the power of a simple yet effective programming language with features like conditionals, loops, user-defined recursive functions, and input/output facilities. Unleash the potential of R for enhancing the data analysis skills.

Required Textbooks

1. Andrie de Vries and Joris Meys, “R for Dummies”, Wiley.
2. Jum Albert and Maria Rizzo, “R by Example”, Springer Media.
3. Michael J. Crawley, “The R Book”, Wiley.

Completion Criteria

After fulfilling all of the following criteria, the student will be deemed to have finished the Module:

1. Has attended 90% of all classes held.
2. Has received an average grade of 80% on all assignments.
3. Has received an average of 60% in assessments.
4. The tutor believes the student has grasped all of the concepts and is ready to go on to the second module.

Prerequisites

1. There are no specific prerequisites for learning R.
2. If you want to utilize R for a variety of analytical tasks, you'll need to have a basic understanding of statistics.
3. However, to get started with R as a programming language, you don't need to know any of the other programming languages.