All essentials to know in R programming to dive into Data Science.
This repository is designed to help you master the essentials of R programming for data science. It covers a wide range of topics, from basic starting up to advanced programming topics. Each chapter includes a detailed explanation of concepts, code examples, and practical exercises to solidify your understanding.
| Chapter | Title | Level | Time |
|---|---|---|---|
| 1 | Starting Up | Basic | 05 min |
| 2 | An Overview of R | Basic | 05 min |
| 3 | Plotting | Easy | 10 min |
| 4 | Lattice graphics | Easy | 10 min |
| 5 | Linear (Multiple Regression) Models and Analysis of Variance | Medium | 20 min |
| 6 | Multivariate and Tree-based Methods | Medium | 20 min |
| 7 | R Data Structures | Medium | 20 min |
| 8 | Functions | Medium | 20 min |
| 9 | GLM, and General Non-linear Models | Hard | 20 min |
| 10 | Multi-level Models, Repeated Measures and Time Series | Hard | 25 min |
| 11 | Advanced Programming Topics | Advanced | 25 min |
| Total Time Required | 180 min |
This table of contents provides a roadmap for your learning journey, indicating the difficulty level and estimated time required for each chapter. Dive in and start mastering R programming for data science!
If you haven't already installed Git, download and install it from git-scm.com.
To clone the repository to your local computer, follow these steps:
- On Windows, you can use Command Prompt or PowerShell.
- On Mac/Linux, you can use the Terminal.
git clone https://github.com/Anamicca23/Essential-R-Programming-for-Data-Science.gitAfter cloning the repository, navigate into the repository directory:
cd Essential-R-Programming-for-Data-ScienceTo verify that the repository has been successfully cloned, you can list the files in the directory:
ls# Clone the repository
git clone https://github.com/Anamicca23/Essential-R-Programming-for-Data-Science.git
# Navigate into the repositorycd Essential-R-Programming-for-Data-Science
# List files to verify
ls
Happy Learning!