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
4.1 (112 ratings) Instead of using a simple lifetime average, Udemy calculates a
course's star rating by considering a number of different factors
such as the number of ratings, the age of ratings, and the
likelihood of fraudulent ratings.
1,982 students enrolled
$19
$20
5% off
Take This Course
  • Lectures 7
  • Length 37 mins
  • Skill Level Beginner Level
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
Wishlisted Wishlist

How taking a course works

Discover

Find online courses made by experts from around the world.

Learn

Take your courses with you and learn anywhere, anytime.

Master

Learn and practice real-world skills and achieve your goals.

About This Course

Published 2/2016 English

Course 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.

What are the 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

What am I going to get from this course?

  • 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

What is the target audience?

  • 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)

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Path for the Course
Path for the Course
Preview
01:31
Section 2: R Basics
Introduction
Preview
06:24
Tour de Galleria - R Programming
Preview
08:16
Interaction with the Environment
07:40
Section 3: Next Steps in R
Resources
07:38
Next Steps in R Programming
04:39
Conclusion to R
00:52

Students Who Viewed This Course Also Viewed

  • Loading
  • Loading
  • Loading

Instructor Biography

Dhruv Bais, Master Programmer and Machine Learning Robot

Hi! I'm Dhruv Bais. I am a Machine Learning and SAP Expert. But you can call me a coding geek.

I started very early in my career with Java and Python and wanted to know what all tech capabilities I can acquire. I have come a long way (about 7 Programming Language units) and mastered Python, R, Java, SAP FICO, SAP HANA, SAP ABAP, and many other software tools that aid me in my work of creating backend Information Technology Solutions for my clients.

I'm passionate about teaching Coding and SAP and want to share my love for these topics with other students. I also work as a Freelance programmer and have lots of experience creating Financial algorithms, data dashboards, server backends, SAP Integrations, SAP supply chains, and lots of other fun things that use my IT skills.

You wouldn't believe how big the market for SAP consultants is. Sign up and find out for yourself how you can get on this trend before it is too late. I teach SAP Module courses like Materials Management (MM), Financial Accounting and Controlling (FICO), and Sales and Distribution (SD) to give you a functional base for how SAP is integrated and operated inside companies. You can use this knowledge as a stepping stone to learn more complex SAP technology as progress through the knowledge I provide through my courses. I genuinely believe this training is the best on the market and if you don't agree, I'll happily refund your money.

Sign up and join me in this amazing adventure today.

Ready to start learning?
Take This Course