R Programming - Business analytics
Course Overview
Faculty : Prof.Nitesh Saxena
In the World of data science, R is the most powerful language as this is widely used in analyzing data. R is used for statistical computation and graphical presentation to analyze and visualize data and it can handle structured and unstructured data. It is open-source and can be modified and redistributed as per the user’s need.
Why R?
- Latest Cutting edge Technology
- Has a Robust Visualization library
- Go to language for statistical and graphical visualization
- Independent platform
- Gateway to a lucrative career
- Large Community of users
- Open-source tool
Session plan
| Class No. | Date | Topics |
|---|---|---|
| 1 | 12-Apr | R HOME |
| 2 | 13-Apr | R Intro |
| 3 | 14-Apr | R Get Started |
| 4 | 15-Apr | R Syntax |
| 5 | 16-Apr | R Comments |
| 6 | 18-Apr | R Variables |
| 7 | 19-Apr | R Data Types |
| 8 | 20-Apr | R Numbers |
| 9 | 21-Apr | R Math |
| 10 | 22-Apr | R Strings |
| 11 | 23-Apr | R Logical/Booleans |
| 12 | 25-Apr | R Operators |
| 13 | 26-Apr | R If...Else |
| 14 | 28-Apr | R While Loop |
| 15 | 29-Apr | R For Loop |
| 16 | 30-Apr | R Functions |
| 17 | 2-May | R Vectors |
| 18 | 3-May | R Lists |
| 19 | 4-May | R Matrices |
| 20 | 5-May | R Arrays |
| 21 | 6-May | R Data Frames |
| 22 | 7-May | R Factors |
| 23 | 9-May | R Plot |
| 24 | 10-May | R Line |
| 25 | 11-May | R Scatterplot |
| 26 | 12-May | R Pie Charts |
| 27 | 13-May | R Bars |
| 28 | 14-May | R Statistics Intro |
| 29 | 16-May | R Data Set |
| 30 | 17-May | R Max and Min |
| 31 | 18-May | R Mean Median Mode |
| 32 | 19-May | R Percentiles |
| 33 | 20-May | Project Presentation |
| 34 | 21-May | Project Presentation |
Useful Resources
- Learning R Programming by Kun Ren
- Modern R Programming Cookbook by Jaynal Abedin