Statistical Analysis using R Programming

R is the programming language that is widely used in Data Science especially when Statistical Analysis and its output is most important. It is having a wide range of packages for different analysis.

Anyone who wants to build a career in Data Science or Data Analytics must learn R programming. This course is designed for beginners and intermediate learners who want to build their careers in this field.

Content

1. 1. Introduction to R
   2. Data Structure and Data Types
   3. Import data from various sources
   4. Package Management
   5. Introduction of Statistics
   6. Data Visualization using Base Package and ggplot2 Package
   7. Testing of Hypothesis
      • Parametric Tests (t-test, paired t-test, ANOVA etc.)
      • Non-Parametric Tests (Wilcoxon test, Kruskal Wallis Test etc.)
   8. Linear Regression
      • Simple Linear Regression
      • Multiple Linear Regression
   9. Logistic Regression
   10. Factor Analysis