Learn R Programming and Data Fundamentals Through Exercises

Hatch as an Expert in R Programming by learning through practical R exercises that you will see in Data Science
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  • Lectures 23
  • Length 2 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 2/2016 English

Course Description

You are interested in learning R Programming and getting into the wide realm of data science and R programming and intense Tech Entrepreneurship. You have probably wondered what is the most practical way of learning Python (which to be frank, gives you the key to ruling the technology industry).

I have learned over 14 programming languages such as JAVA, Python, C++, R, Matlab, Ruby, CSS, HTML, Angular JS, Java Script. I have also had a successful freelancing career conducting data science projects and programming data science and R applications. Since technology and data is changing every day, I have to learn something new every time. The best way that you can learn how to program is "to program". Yet, nobody teaches in this manner and I suffer from the same pain when learning something new every time. Most courses are not designed to help you learn by example (immersion is the most potent way of learning in humans). Rather they bathe you with inapplicable information that you have to learn over and over again anyways.

This course covers not only the basics of syntax in R programming, but also covers the more advanced data science structures and data types like Lists, Data Frames, Vectors, Matrices, and Factors. I develop details of the data structures and syntax through exercises that I walk you through in the course. The first part of the course is the introduction to these structures and the syntax. There are 2 lectures on solving tough exercises on each subject so that you can understand not only the syntax and how to the program python, but also what the crux of programming in terms of how we solve problems programmatically and harness the POWER of R Programming and Data Science.

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 programming and I urge you to join me on this journey to learn how to dominate the entrepreneurial world with one of the most powerful data science language: R.

What are the requirements?

  • R Programming Studio
  • R installed in Laptop

What am I going to get from this course?

  • Solve data problems programmatically with R Programming
  • Get a head start in the complex data science technologies of modern day programming in R
  • Obtain the opportunity to learn more complex things like Machine Learning in R at the end of the course

Who is the target audience?

  • This course is suited for everyone interested in technology (data science)
  • No prior R programming or data science is neccessary
  • Some familiarity with some concepts e.g. what is data...what is data science

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.


Section 1: Introduction to R Programming
Tour de Galleria
Basic Syntax
Section 2: Vectors
Vectors - Subsetting
Vector Arithmetics
Vectors in R Programming: Exercise 1
Vectors in R Programming: Exercise 2
Section 3: Matrices
Matrices - Deeper Dive
Matrix - Naming
Matrix - Subsetting in R
Matrices - Exercise 1
Matrix Exercise - 2
Section 4: Factors
Factors in R Programming: Overview
Factors in R Programming - Deeper Dive
Factors in R Programming - Ordered versus Nominal
Factors in R Programming: Exercise
Section 5: Lists
Lists in R Programming
Lists - A Deeper Dive
Lists - Subsetting 1
Lists - Subsetting 2
Section 6: Conclusion

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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.

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