R is a programming language and free software environment for statistical computing
and graphics supported.
R’s open interfaces allow it to integrate with other applications and systems.
It is a powerful language used widely for data analysis and statistical computing.
Packages such as dplyr, tidyr, readr, data.table, SparkR, ggplot2 have made data manipulation,
visualization and computation much faster.
To Become a Data Scientist, you must know starting from basics in Statistics, Data Management
and Analytics to advanced topics like Machine Learning and Big Data.
Introduction to R Programming
Creating a Graph using RStudio
Advanced Graphs using RStudio
Loading Different Kinds of Data into R
Data Types and Structures
Function Components
Creating Data Frame
Fundamentals of Data Management
Introduction to Components Analysis
Introduction to Statistical Models
Predictive Modeling using R Programming
Time Series Analysis
Advance Statistical Analysis using R
Graphical Procedures & Packages