R Programming 2021-22

This series of tutorials will help you understand the basics and intermediate of R Programming on R Studio environment

There are people who are eager to move to Analytics careers but do not have the requisite skill sets. As we move into our 12th year in the Analytics Industry, OrangeTree Global has designed specific courses for freshers and working professionals who are looking at moving to Data Science, Machine Learning and Big Data Careers.

What you’ll learn

  • Students will have a good working knowledge on R Programming and can use it for their Educational as well as Business projects and assignments..
  • Working professionals can also benefit from this course as this course provides many tips and tricks which they can use it for their Corporate presentations..
  • The topics that will be covered in this course are divided into 10 modules..
  • Each module leads into the next and should be covered in order..

Course Content

  • What is R? –> 5 lectures • 16min.
  • Basic Operations in R –> 7 lectures • 39min.
  • Control Structures and User Defined Functions in R –> 14 lectures • 1hr 19min.
  • Data Visualization: Charting with R –> 19 lectures • 1hr 49min.
  • Visualization on R using Google Vis –> 10 lectures • 1hr 4min.
  • Visualization on R using GGPlot2 –> 10 lectures • 1hr 8min.

R Programming 2021-22

Requirements

  • No prior knowledge on R or any other software is needed..

There are people who are eager to move to Analytics careers but do not have the requisite skill sets. As we move into our 12th year in the Analytics Industry, OrangeTree Global has designed specific courses for freshers and working professionals who are looking at moving to Data Science, Machine Learning and Big Data Careers.

Since 2009, OrangeTree Global has embarked on an ambitious vision of providing affordable and effective Analytics Training and Education across the country.

OrangeTree Global has over a decade’s experience in upskilling professionals and helping them move to analytics jobs and careers within and outside India. If you are reading this, we hope to be a part of your journey too.

The following topics will be covered as part of this series. Each topic is described in detail with hands-on exercises done on R Studio to help students learn with ease. We will cover all the nitty-gritty that you need to know to get started with R along with the data manipulation, extraction, and visualization.

  1. What is R?
  2. Basic Operations in R
  3. Data Types and Data structures in R
  4. Subsetting in R
  5. Additional Topics on Data Structures in R
  6. Data Import and Export in R
  7. Control Structures and User-Defined Functions in R
  8. Data Visualization: Charting with R
  9. Visualization on R using Google Vis
  10. Visualization on R using GGPlot2
Get Tutorial