Introduction to R Programming - Must See Introduction to R
3.5 (124 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,014 students enrolled

Introduction to R Programming - Must See Introduction to R

Get Your Feet Wet in R Programming: What can you do with R and Data Science
3.5 (124 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,014 students enrolled
Created by Dhruv Bais
Last updated 2/2016
English
English [Auto-generated]
Current price: $13.99 Original price: $19.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 37 mins on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Get an overview of what R is
  • Pursue a Learning Path in Data Science in R
  • Get a tour of the kinds of projects that can be done with R Programming
  • Get Resources and Data Sets to Practice their R Skills on
  • Understand the different components that comprise of R Programming
Course content
Expand all 7 lectures 37:00
+ Next Steps in R
3 lectures 13:09
Resources
07:38
Next Steps in R Programming
04:39
Conclusion to R
00:52
Requirements
  • No prior R or Data Science experience is needed
  • Access to the computer would be great for following along in the web demo of the projects
Description

You are interested in learning about R Programming and getting into the wide realm of Data Science. You have probably wondered what is the most practical way of getting your feet wet in Data Science (even if you are not interested in this, you should seriously consider so since in the next 10-15 years, Data Science and Artificial Intelligence will be everywhere).

I have learned over 14 programming languages such as JAVA, Python, C++, R, Matlab, Ruby, CSS, HTML, Angular JS, Java Script as well as other . I have also had a successful freelancing career programming software and mobile applications and well as working as a finance data analyst. Since technology is changing every day, it is adding new realms of complexity to data science than is already out there. It is getting exponentially harder for new people to learn and navigate the immense amount of data science aspects. My job in this course is to demyistify Data Science and Machine Learning so you can see a clear road to success as a R Data Scientist.

This course serves to help you navigate R and know what this seemingly difficult concept really is. In this course, I cover what it is like to be a data analyst, what are some jobs of data analysts, what are the sorts of super powers you can possess by learning R, and also what resources you will need on your path to development as a R Data Application Developer. My hope is to transform you in 4-5 lectures from being a novice in data science to having a strong stance about R and what is possible with R to being someone who has a clear idea of whether he/she is interested in R and what path they can take to further their knowledge and harness the POWER of the dynamic R language.

There is no risk for you as a student in this course. I have put together a course that is not only worth your money, but also worth your time. This course encompasses the basics of R I urge you to join me on this journey to learn how you can start learning how to dominate data and how you can supercharge your data science understanding.

Who this course is for:
  • This course is meant for students willing to next generation Information Technology
  • Anybody who wants an entry to the realm of Machine Learning
  • Somebody wishing to learn about a new and better way to do statistics and data visualization (hint hint - R Programming)