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Development Data Science R

R for Data Science: Learn R Programming in 2 Hours

Enter the world of R Programming: Everything you need to get started with R and Data Science in just 2 HOURS!
Rating: 4.5 out of 54.5 (170 ratings)
3,713 students
Created by Ajay R Warrier
Last updated 1/2021
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Master all the basics of R Programming
  • Learn basic concepts of Data Science
  • Learn how to learn programming by yourself.
  • Develop problem solving ability
  • Pass their exams related to R

Course content

6 sections • 34 lectures • 1h 51m total length

  • Preview02:02

  • Setting up the Environment
    1 question
  • Preview02:37
  • Making Use of R Data Types
    06:25
  • Introduction to Data Structures in R
    01:33

  • Preview03:56
  • Creating Vectors in R
    04:08
  • Coding in R Studio : Creating Vectors
    02:49
  • Operators in R
    05:20
  • Accessing Vector Elements in R
    04:03
  • Creating A Matrix in R
    04:22
  • Accessing Matrix Elements in R
    03:04
  • Data Frames in R
    02:16
  • Accessing Data Frames in R
    03:57
  • Introduction to Arrays in R
    03:32
  • Accessing Arrays in R
    02:17
  • Lists in R
    01:26
  • Factors in R
    02:11
  • Assignment Operator
    04:08

  • Preview02:43
  • Data Preparation in R Part 1: Importing Dataset
    04:58
  • Data Preparation in R Part 2: Dimensions and Column Names
    02:23
  • Data Preparation in R Part 3: Finding Missing Values
    02:45
  • Data Preparation in R Part 4: Fixing the Missing Values Problem
    05:29

  • Visualization in R Part 1: Setting up the Environment,
    01:45
  • Preview05:30
  • Visualization in R Part 3: Bar Plots
    03:03
  • Visualization in R Part 4: Box Plots
    01:43
  • Visualization in R Part 4: Histograms and More.
    02:33

  • Machine Learning using R Part 1: Introduction to Machine Learning.
    05:25
  • Machine Learning using R Part 2: What Will We Make?
    02:44
  • Machine Learning using R Part 3: Linear Regression without too much Math
    03:30
  • OPTIONAL : Machine Learning using R Part 3: Linear Regression with Math
    02:49
  • Machine Learning using R Part 3: Creating the Machine Learning Model in R
    03:07
  • Bidding Farewell! and to NEW BEGINNINGS.
    01:13

Requirements

  • Basic computer knowledge.
  • No prior R or Data Science experience is needed
  • Download and Install R and R Studio (Download link provided Resources)
  • Interest to learn

Description

BEST R BEGINNERS COURSE ON UDEMY!

LEARN R PROGRAMMING IN 2 HOURS!

This course will not waste your time, Are you tired of watching tutorials that take hours to explain simple concepts? You came to the right place. All this course asks you is 2-3 hours of your life.

Are you tired of taking countless courses on Udemy that are 10+ hours and you leave it halfway because they're too darn long? You've come to the right place.

R for Data Science; LEARN R PROGRAMMING IN 2 HOURS? Sounds a bit too good to be true? No. This is the class I wish I had when I was trying to learn R Programming. I have a unique way of teaching, as I know how it must be overwhelming to learn a very complex programming language. The best part of this course is No prior programming experience is required.

2-3 hours is all you need to learn the basics of any programming language. Don't believe me? just go check the reviews on my other courses. I've been teaching programming on Udemy for the last 4 years with similar short courses and my students love them.

So spend the next 2 hours that you would normally waste on a random Youtube video on this course and get maximum value in the minimum amount of time.

This course will introduce you to the concepts of R programming and Data Science in just 2 Hours.

Here's What People Are Saying About My Programming Courses:

"Excellent Course. Worth every Dollar.

I always wanted to learn python. A few months back I purchased Ajay's C++ course and I loved it. I was excited to see him release a course on python. The course doesn't deviate from the topic like most courses on Python. This course didn't disappoint at all. I am only halfway in the course, but I am still able to write small programs. Downloadable lecture notes make the learning process a lot easier. If you are a beginner like me and want to write fun programs on Python fast, look no further and enroll this course"

"Perfect Course for Beginners at Wonderful Price.

Well, I was a little concerned about enrolling in this course as it was just released, but I have to say it beats all the other C++ Courses in the market. The best part is that it’s just 2 hours, the content is straight forward and doesn't waste your time just as it’s said in the promo video. Worth every buck! Will recommend it to all the beginners."

"Very Good Course for Beginners

This course covers all the basic concepts of C++ in an easily understandable and interactive way. The instructor Ajay is also very helpful and replies readily to your queries and doubts. Overall I would strongly recommend this course to you if you are looking for basic knowledge of C++."

"Excellent Course

I really enjoyed taking this course. I would definitely recommend this course to anyone with an interest in C++. It covers all the basics and good tips are given during the course. Ajay certainly knows the subject he teaches here. Looking forward to his next course."

"Good primer

I'm brand new to Python, so this course was really just what I needed. I would like it to have been a bit longer and go a bit deeper, but as a brand new Python coder, I really enjoyed it and learned the basics."

SO WHAT ARE YOU WAITING FOR? ENROLL NOW AND LET'S GET STARTED,


Who this course is for:

  • Beginners entering the world of Data Science and R
  • Someone with experience in other languages but want to learn R
  • Someone with no programming experience looking to learn their first language.

Instructor

Ajay R Warrier
Making Your Life Easier.
Ajay R Warrier
  • 4.6 Instructor Rating
  • 991 Reviews
  • 37,276 Students
  • 7 Courses

Ajay Warrier is the founder of Bananas Academy, an independent game studio that makes educational games.

He also teaches programming to more than 19000 students from all over the world on Udemy.

A Computer Science Engineer with a Master's Degree in Marketing. He has industry level experience in game development(Godot), cross-platform mobile development (Flutter), and distributed applications (Ethereum Blockchain).

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