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R Programming from Scratch – Step by Step

R Programming from Scratch - Step by Step
Learn R and become Data Scientist.

We have given a detailed review of this course below for our readers but just wanted to highlight some points:

  • Declared Best Seller at udemy.com
  • 2,400+ students enrolled
  • 112 Review available
  • 5.5 Hours on-demand videos
  • 1 Article
  • Access on Mobile and TV
  • Assignments
  • Certificate of Completion
  • Lifetime Access
  • 30 days Money back guarantee

Most attractive feature is 30 days Money Back Guarantee means there is no risk. If you didn’t like this R Programming online course, you can refund your money back within next 30 days.


Take This Online Course

What You will Learn?

  • Will get complete knowledge of R Language
  • learn essential tool for various types of analysis to get key insights from data and to make key decisions
  • learn to play with data and to extract key information using various R functions and constructs.

Online Course Description:

R is a language and environment for statistical computing and graphics. R 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:

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

Softwares used in Course

  • R Studio

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.

Take This Online Course