R Programming A-Z™: R For Data Science With Real Exercises!
181,266 students enrolled
R Programming A-Z™: R For Data Science With Real Exercises!
Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2
Bestseller
181,266 students enrolled
Created by
Kirill Eremenko,
SuperDataScience Team
Last updated 7/2020
English
English,
French [Auto],
9 more
- German [Auto]
- Indonesian [Auto]
- Italian [Auto]
- Japanese [Auto]
- Polish [Auto]
- Portuguese [Auto]
- Romanian [Auto]
- Spanish [Auto]
- Turkish [Auto]
Current price: $139.99
Original price: $199.99
Discount:
30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
- 10.5 hours on-demand video
- 6 articles
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
Training 5 or more people?
Get your team access to 4,000+ top Udemy courses anytime, anywhere.
Try Udemy for Business
What you'll learn
- Learn to program in R at a good level
- Learn how to use R Studio
- Learn the core principles of programming
- Learn how to create vectors in R
- Learn how to create variables
- Learn about integer, double, logical, character and other types in R
- Learn how to create a while() loop and a for() loop in R
- Learn how to build and use matrices in R
- Learn the matrix() function, learn rbind() and cbind()
- Learn how to install packages in R
- Learn how to customize R studio to suit your preferences
- Understand the Law of Large Numbers
- Understand the Normal distribution
- Practice working with statistical data in R
- Practice working with financial data in R
- Practice working with sports data in R
Course content
Expand all
82 lectures
10:39:45
+
–
Hit The Ground Running
9 lectures
25:43
Updates on Udemy Reviews
01:09
Installing R and R Studio (MAC & Windows)
07:02
BONUS: Learning Paths
00:51
Get the materials
00:05
Some Additional Resources!!
00:13
Your Shortcut To Becoming A Better Data Scientist!
02:05
+
–
Core Programming Principles
10 lectures
01:19:22
Welcome to this section. This is what you will learn!
01:11
Types of variables
10:10
Using Variables
10:23
The "While" Loop
07:33
Using the console
04:04
The "For" Loop
05:29
The "If" statement
12:15
Section Recap
05:22
HOMEWORK: Law of Large Numbers
15:13
Core Programming Principles
5 questions
+
–
Fundamentals Of R
10 lectures
01:32:33
Welcome to this section. This is what you will learn!
01:04
What is a Vector?
04:17
Let's create some vectors
13:12
Using the [] brackets
10:31
Preview
05:49
The power of vectorized operations
16:22
Functions in R
17:58
Packages in R
09:19
Section Recap
06:19
HOMEWORK: Financial Statement Analysis
07:42
Fundamentals of R
5 questions
+
–
Matrices
14 lectures
01:50:10
Welcome to this section. This is what you will learn!
00:52
Project Brief: Basketball Trends
09:22
Matrices
06:30
Building Your First Matrix
13:41
Naming Dimensions
03:34
Colnames() and Rownames()
10:02
Matrix Operations
06:12
Visualizing With Matplot()
11:42
Subsetting
09:20
Visualizing Subsets
04:13
Creating Your First Function
08:47
Preview
12:38
Section Recap
06:04
HOMEWORK: Basketball Free Throws
07:13
Matrices
5 questions
+
–
Data Frames
14 lectures
01:41:03
Welcome to this section. This is what you will learn!
01:47
Project Brief: Demographic Analysis
04:16
Importing data into R
05:52
Exploring your dataset
10:18
Using the $ sign
06:23
Basic operations with a Data Frame
09:47
Filtering a Data Frame
09:04
Introduction to qplot
09:09
Building Dataframes
10:02
Merging Data Frames
07:38
Visualizing With Qplot: Part II
06:50
Section Recap
07:19
HOMEWORK: World Trends
06:16
Data Frames
5 questions
+
–
Advanced Visualization With GGPlot2
16 lectures
02:06:38
Welcome to this section. This is what you will learn!
01:23
Project Brief: Movie Ratings
04:02
What is a Factor?
07:13
Aesthetics
06:54
Plotting With Layers
05:18
Overriding Aesthetics
07:49
Mapping vs Setting
08:09
Histograms and Density Charts
07:08
Starting Layer Tips
08:41
Statistical Transformations
10:38
Using Facets
09:30
Coordinates
10:28
Perfecting By Adding Themes
11:04
Section Recap
09:50
HOMEWORK: Movie Domestic % Gross
07:05
Advanced Visualization With GGPlot2
5 questions
+
–
Homework Solutions
7 lectures
01:28:47
Homework Solution Section 2: Law Of Large Numbers
12:01
Homework Solution Section 3: Financial Statement Analysis
18:35
Homework Solution Section 4: Basketball Free Throws
16:11
Homework Solution Section 5: World Trends
16:30
Homework Solution Section 6: Movie Domestic % Gross (Part 1)
11:41
Homework Solution Section 6: Movie Domestic % Gross (Part 2)
11:09
THANK YOU bonus video
02:40
+
–
Bonus Tutorials
2 lectures
15:28
BoxPlots
13:32
**YOUR SPECIAL BONUS**
01:56
Requirements
- No prior knowledge or experience needed. Only a passion to be successful!
Description
Learn R Programming by doing!
There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!
This course is truly step-by-step. In every new tutorial we build on what had already learned and move one extra step forward.
After every video you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.
This training is packed with real-life analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.
In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!
I can't wait to see you in class,
Sincerely,
Kirill Eremenko
Who this course is for:
- This course is for you if you want to learn how to program in R
- This course is for you if you are tired of R courses that are too complicated
- This course is for you if you want to learn R by doing
- This course is for you if you like exciting challenges
- You WILL have homework in this course so you have to be prepared to work on it
Featured review
Khaled Khaled
(
5 courses,
4 reviews
)
a year ago
I've tried several websites before to learn new programming languages and to be honest I'm already half way through the course, within days, for two main reasons:
1) The course is very interactive and expects you to code as you go. I found this to be the best way to learn.
2) The contents of the course are super fun which probably explains why I went through the course this quickly.
I will definitely be doing more udemy courses based on this geat experience so far!