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

4.64 (53432 reviews)
Udemy
platform
English
language
Data Science
category
instructor
R Programming A-Z™: R For Data Science With Real Exercises!
267,782
students
10.5 hours
content
Apr 2024
last update
$109.99
regular price

What you will 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

Why take this course?

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,

What you will learn:

  • 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

Sincerely,

Kirill Eremenko

Screenshots

R Programming A-Z™: R For Data Science With Real Exercises! - Screenshot_01R Programming A-Z™: R For Data Science With Real Exercises! - Screenshot_02R Programming A-Z™: R For Data Science With Real Exercises! - Screenshot_03R Programming A-Z™: R For Data Science With Real Exercises! - Screenshot_04

Reviews

Sofia
November 12, 2023
I took this course to get back to coding in R and I really enjoyed it! I can totally recommend this course for R beginners and also if you already have some R practice, since the course really goes deep into the basics or R and helps understand how R works at a much deeper level than most online courses do. I registered already to the next Course in ML :)
Kavesh
November 8, 2023
Really great course for beginners! All there is left to do is practice, practice, practice and combine learnings in this programme with other functions that are available in R.
Richard
November 8, 2023
This is exactly how a online course should be. Informative, well planned, great practical exercises. I learned so much and feel I have a solid foundation for R Programming. Thank you!
Harish
November 3, 2023
Resolution of the screen. I was watching the tutorial on iPad and doing the exercise on Mac. Sometimes it was hard to see what’s on screen as the fonts/magnification is too small
Vittorio
November 1, 2023
I missed Kirill. I used his courses to successfully go from grill chef to data analyst and to this day most things I know about Tableau come from the first course I did with him.
Shaina
October 31, 2023
I learned so much with this course. I felt like this flow of how R was taught was very smooth and digestible. I am done with the course and felt that I have a strong grasp on R programming.
Mohamed
October 29, 2023
According ton the explanation of the course it good and perfect way of teach methodology, I would like to ask some question for the professor, unfortunitily the lesson was pre-recorded and you can't ask the professor I was not know anything in R programming ,After, taking thiscourse its quite good in my undrestanding, i only need repeatition and to do more practicing althought iam busy to do manythings but iam trying bould in a better way I request the professor to add R-markdown in this course if its possiple or if he help me and send me thought my email mohaashkir146@gmail.com
Minas
October 27, 2023
I really loved the course and it gave me a complete hands on introduction to the world of Data Science and I have already bought the advanced stage of this course.
Carlos
October 23, 2023
I wanted to refresh my R technical skills and this course did the job. It even taught me new knowledge that I didn't know before. Even though the explanation is rather clear and that the questions are replied very swiftly, I wasn't able to replicate the chart of homework 6, not even using the fill-in-the-blanks code provided by the instructor. I read comments of this same issue, but so far hasn't been resolved.
Piyush
October 18, 2023
Its more R Programming A-D, and not for data science but only basics of R. As a "Basics of R" course this is perfect.
Sever
October 17, 2023
Was a great experience up until now :) There was only one little thing that didn't work for me as in the tutorial, but it didn't create any confusion. In the 45th tutorial, right at the end when he presented the levels function, I got a answer, instead of the 4 levels he was talking in the video. Except this, everything worked wonderful! Thank you for this great tutorial!
Joshua
October 12, 2023
By the time you reach the section on data frames, you'll definitely be appreciating the path he's taken to explain the basics. Many of the tutorials I've been exposed to rush into data frames and show you splashy stuff without explaining the foundations of R. Thank you!
Rowan
October 10, 2023
This is my first course on Udemy, it is excellent, interactive, and at a good pace where I feel like I am making rapid progress. Kirill does a great job summarising the concepts, not getting stuck in details, and the homework exercises are very helpful to revise and embed the knowledge.
Ujjwal
August 8, 2023
actually, I wanted to give it a 0 star if it was available well, this course is definitely not for the beginner's, one of the prime examples is when the tutor shows the matplot() function, he has not clearly explained all the syntax of the matplot() , how can one understand the use of matplot() without understanding what all the syntaxes of it , ridiculous
Jeffson
August 6, 2023
Excellent R programming course with exercises. Great explanations all around and the instructor, Kirill is very knowledgeable, sharing tips and insights of R and data analysis. Thank you for the course!

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udemy ID
2/17/2016
course created date
11/1/2019
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