Learn R Programming and Data Fundamentals Through Exercises
4.1 (17 ratings)
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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
4.1 (17 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.
1,721 students enrolled
Created by Dhruv Bais
Last updated 3/2016
English
Current price: $10 Original price: $100 Discount: 90% off
1 day left at this price!
30-Day Money-Back Guarantee
Includes:
  • 2 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • 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
View Curriculum
Requirements
  • R Programming Studio
  • R installed in Laptop
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.

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
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Curriculum For This Course
Expand All 23 Lectures Collapse All 23 Lectures 01:59:44
+
Introduction to R Programming
3 Lectures 20:32
+
Vectors
5 Lectures 21:27
Vectors - Subsetting
05:51

Vectors
05:00

Vector Arithmetics
04:11

Vectors in R Programming: Exercise 1
03:31

Vectors in R Programming: Exercise 2
02:54
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Matrices
6 Lectures 35:37
Matrices
00:53

Matrices - Deeper Dive
10:08

Matrix - Naming
04:04

Matrix - Subsetting in R
08:10

Matrices - Exercise 1
05:01

Matrix Exercise - 2
07:21
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Factors
4 Lectures 25:40
Factors in R Programming: Overview
02:49

Factors in R Programming - Deeper Dive
10:11

Factors in R Programming - Ordered versus Nominal
05:15

Factors in R Programming: Exercise
07:25
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Lists
4 Lectures 13:49
Lists in R Programming
03:04

Lists - A Deeper Dive
03:04

Lists - Subsetting 1
04:56

Lists - Subsetting 2
02:45
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Conclusion
1 Lecture 02:39
Conclusion
02:39
About the Instructor
Dhruv Bais
4.2 Average rating
2,239 Reviews
31,462 Students
23 Courses
Master Programmer and Machine Learning Robot

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