This course is designed for those students & professionals who are interested to switch to R programming..It covers introductory statistics that is also explained using Excel..Prior background of programming is added advantage..

1. Introduction to Data Analytics
2. Introduction & Installation of R
3. Installing RStudio
4. Basic Mathematical & Arithmetic operations in R
5. Basic statistical operations
6. Data Objects- Data Types & Data Structure Handling Data
7. Vectors, Lists, Matrix, Factors, Arrays
8. Reading data from Text & Excel files
9. Exporting data from R
10. Manipulating and Processing Data in R
11. Creating, Accessing and Sorting data frames
12. Imputing missing data
13. Introduction to Hypothesis Testing
14. Functions and Packages
15. Built in functions in R
16. Packages in R
17. Installing and working with Packages
18. Interactive reporting with R markdown
19. Introduction to Graphical Analysis with ggplot2 package
20. Plotting for single, two and multiple variables
21. Designing Special Plots and saving graphs to external files
22. Linear Regression
23. Pearson’s Correlation Coefficient and coefficient of Determination
24. Confirming coefficient values using Excel
25. Logistic Regression