Statistical Analysis with R is designed to equip participants with the foundational knowledge and practical skills necessary to conduct statistical analysis using the R programming language. This course covers a wide range of topics, including data manipulation, descriptive statistics, graphical representation, normal distribution, correlation, regression analysis, and both parametric and non-parametric inferential statistical tests.
Curriculum
- 4 Sections
- 19 Lessons
- 7 Weeks
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- Introduction to R6
- 1.1Understanding R as a Calculator, Statistical Software, and Programming Language
- 1.2R Preliminaries: Installation, Environment Setup, and Package Management
- 1.3Accessing Help and Documentation in R
- 1.4Data Input Methods: Direct Input and Importing from External Sources like Excel
- 1.5Data Accessing and Indexing
- 1.6Introduction to Graphics in R and Built-in Functions
- Descriptive Statistics4
- Normal Distribution and Probability5
- Inferential Statistics4