# Getting started with Data Science in 30 days using R programming

This is an attempt to challenge myself to create and help newbies to acquire and experienced to refresh their skillset in R programming. This particular article is a collection of links to all the posts.

**DAY 1 : Introduction**

**DAY 2: Install R and get started with it’s basics**

**DAY 3: PART 1 — Attributes of R objects**

**PART 2 — DATA FRAME**

**DAY 4 : OPERATIONS ON R OBJECTS- R programming basics**

**DAY 5: FUNCTIONS, THEIR ARGUMENTS AND THEIR SCOPING**

**DAY 6: GETTING DATA IN R**

**DAY 7: DATA CLEANING — ALL YOU NEED TO KNOW ABOUT IT**

**DAY 8: DATA TRANSFORMATION- SKEWNESS, NORMALIZATION AND MUCH MORE**

**DAY 9: Dplyr PACKAGE — MANIPULATE DATA LIKE YOU WITH SQL**

**DAY 10: DIMENSIONALITY REDUCTION WITH PCA AND tSNE**

**DAY 11: EXPLORE DATA WITH R BASE PLOTTING SYSTEM**

**DAY 12: MULTIVARIATE DATA VISUALIZATION USING LATTICE PLOTTING SYSTEM**

I will be updating this list day to day!! Stay tuned!!