Learn R By Intensive Practice
4.4 (297 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.
4,577 students enrolled

Learn R By Intensive Practice

Gain clear understanding of base R programming concepts and internalise through a lot of practice
4.4 (297 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.
4,577 students enrolled
Created by Selva Prabhakaran
Last updated 3/2017
English
English [Auto]
Current price: $119.99 Original price: $199.99 Discount: 40% off
3 days left at this price!
30-Day Money-Back Guarantee
This course includes
  • 6 hours on-demand video
  • 4 articles
  • 4 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Do any sort of data manipulation
  • Create and master the manipulation of vectors, lists, dataframes, and matrices
  • Write conditional control structures, debug and efficiently handle errors
  • Confidently write apply() functions and design any logic within the apply function.
  • Handle dates using lubridate and manipulate strings with stringr package
  • Melt, reshape, aggregate, and make pivot tables from dataframes
Course content
Expand all 47 lectures 05:51:09
+ Chapter 3: Essential Concepts
5 lectures 38:11
[Activity] Introduction to Lists
04:37
[Activity] Implementing set theory functions
04:36
[Activity] Random Sampling, Understanding Structure of Help Page and Sorting
12:59
[Activity] How to check conditions? (multiple methods)
09:15
[Activity] How to implement For-Loops
06:44
+ Chapter 4: Mastering Data Frames (In-Depth)
11 lectures 01:40:18
[Activity] Data Frames - Part 1
05:59
[Activity] Data Frames - Part 2
06:19
[Activity] Data Frames - Part 3
06:28
[Exercise] Coding Challenges - 3
03:39
[Activity] How to convert a continuous variable to categorical?
04:52
[Activity] How to create frequency tables?
06:23
[Activity] Importing and exporting data
15:45
[Activity] Coding Challenges - 4
03:55
[Activity] Merging, grouping and pivoting dataframes
21:29
[Exercise] Coding Challenges - 5
14:37
+ Chapter 5: R Packages, Strings, Dates and Functions
7 lectures 01:05:56
[Activity] How to install and work with R Packages?
08:04
[Activity] How to work with dates?
15:38
[Exercise] Coding Challenges - 6
04:41
[Exercise] Coding Challenges - 7
10:15
[Activity] Functions and Environments
11:19
[Exercise] Coding Challenges - 8
05:35
+ Chapter 6: Debugging and Error Handling
2 lectures 17:44
[Activity] How to debug R Code (multiple methods)
09:43
[Activity] How to handle errors appropriately
08:01
+ Chapter 7: Mastering Functional Loops
4 lectures 30:31
[Activity] Writing Functional Loops with Apply() Family - Part 1
08:29
[Activity] Writing Functional Loops with Apply() Family - Part 2
05:56
[Activity] Understanding the mechanics: lapply(), sapply(), vapply(), mapply()
09:12
[Exercise] Coding Challenge - 9
06:54
+ Chapter 8: Real Project - Data Manipulation
4 lectures 19:16
[Download] Materials for project
00:03
[Exercise] Data Manipulation Project
18:33

List of Top 30 Resources to Learn R and Machine Learning

Top 30 Resources to Learn More about R and Machine Learning
00:31

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00:08
Requirements
  • High school level math skills will be good.
  • This course is for everyone, right from college students using R for a project to statisticians, programmers from other platforms, or pure beginners without any prior programming experience who want to become data analysts or data scientists.
Description

Learn R By Intensive Practice.

Take a look at these top-rated reviews...

★★★★★  "This course has delivered on what it's title describes. A+"- Alejandro Suarez

★★★★★  "Your course has helped me a ton to grasp the basics of R language." - Surbhi Arya

★★★★★   "One of the best course for beginners to learn R!" - Manoj Poojary


This Course Also Comes With:

✔ Numerous End-of-Lesson Challenges

✔ Real Data Manipulation Project and Grand Test

✔ Lifetime Access to All Future Updates

✔ Fast & Friendly Support in the Q&A section

✔ Udemy Certificate of Completion Ready for Download

✔ A 30 Day "No Questions Asked" Money Back Guarantee!

R is known to have a steep learning curve and the explanations in most tutorials are often vague and high level. But this course is different. The concepts are structured in a step-by-step fashion where one concept leads to the next logical topic and build on it. All topics close with an associated coding challenge similar to what you'll encounter in real world. 

By the end of the course, you will not only understand how they work but you will feel comfortable to do any sort of data manipulation you can imagine. This kind of ability requires a lot of practice. Studies show that if you practice what you learnt within 24 hours of learning it, your understanding lasts longer and you gain the ability to instinctively apply what you learnt in the real world. 

That is why at the end of most lessons, you are posed a coding challenge and asked you to solve before moving to the next topic. I sincerely hope you take these challenges seriously. It matters less if you get the answer in a minute or an hour. What matters is that you make an honest attempt. Besides, I reveal the answer at the end of the videos.


Who this course is for:
  • If you are a college student working on a project using R
  • If you are a statistician, but you don’t have prior programming experience
  • If you are a programmer coming from other platform (such as python, SAS, SPSS) and you are looking to get your way around in R
  • You have a software / DB background, and would like to expand your skills into data science and advanced analytics
  • You are a beginner with no stats background whatsoever, but have a critical analytical mind and have a keen interest in analytical problem solving.