Data Science with R Programming

Course Information

Start DateAnytime
End Date3 Month Access
ModeSelf-Paced E-Learning
Fee$699 (excluding GST)
Contact6720 3333 (Ms Rina)
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Course Overview

The Data Science Certification with R programming training covers data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. You will learn about R packages, how to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting.

This self-paced E learning course is done in partnership with SimpliLearn. It consists of a few videos that will take approximately 6 hours in total to finish the course. Upon successful completion of the Data Science Certification with R programming training, you will be awarded the course completion certificate from Simplilearn and Aventis that will be able to enhance your portfolio.


This Data Science online certification with R programming is beneficial for all aspiring data scientists including, IT professionals or software developers looking to make a career switch into Data analytics, professionals working in data and business analysis, graduates wishing to build a career in Data Science, and experienced professionals willing to harness Data Science in their fields.


There are no prerequisites for this Data Science Certification with R programming course. If you are a beginner in Data Science, this is one of the best courses to start with.

Course Content

Lesson 00 – Course Introduction

Lesson 01 – Introduction to Business Analytics

Lesson 02 – Introduction to R Programming

Lesson 03 – Data Structures

Lesson 04 – Data Visualization

Lesson 05 – Statistics for Data Science-I

Lesson 06 – Statistics for Data Science-II

Lesson 07 – Regression Analysis

Lesson 08 – Classification

Lesson 09 – Clustering

Lesson 10 – Association

Free Course

  • Math Refresher
  • Data Science in Real life
  • R Programming for Data Science
  • Statistics Essential for Data Science
  • Data Visualization with R