Python is a language and environment for statistical computing and graphics. Python provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible.

In this course you will get an introduction to the main tools and ideas in the data scientist’s toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.

In this course, you will learn:

• Introduction
• Variables and Operators
• Data Structure
• Functions
• Flow Control
• Packages
• Import Data
• Exploring Data With R

Softwares used in Course

• Jypiter 3

On course completion, You will be Mastered in R Language and can implement Successfully it in your work place or will surely land on High Paying Job