This article on a complete tutorial to learn Data Science in R from scratch, was posted by Manish Saraswat. Manish who works in marketing and Data Science at Analytics Vidhya believes that education can change this world. R, Data Science and Machine Learning keep him busy.

R is a powerful language used widely for data analysis and statistical computing. It was developed in early 90s. Since then, endless efforts have been made to improve R’s user interface. The journey of R language from a rudimentary text editor to interactive R Studio and more recently Jupyter Notebooks has engaged many data science communities across the world.

What you can find in this article :

1 Basics of R Programming for Data Science

- Why learn R ?
- How to install R / R Studio ?
- How to install R packages ?
- Basic computations in R

2 Essentials of R Programming

- Data Types and Objects in R
- Control Structures (Functions) in R
- Useful R Packages

3 Exploratory Data Analysis in R

- Basic Graphs
- Treating Missing values
- Working with Continuous and Categorical Variables

4 Data Manipulation in R

- Feature Engineering
- Label Encoding / One Hot Encoding

5 Predictive Modeling using Machine Learning in R

- Linear Regression
- Decision Tree
- Random Forest

You can find the full article here. For other articles about R, click here.

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