Best seller

R Programming: For Data Science With Real Exercises!

Udemy
Deal Score+11
Deal Score+11

Udemy – R Programming A-Z™: R For Data Science With Real Exercises! Course. Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

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R Programming: For Data Science With Real Exercises! Course

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 R Programming: For Data Science With Real Exercises 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 R Programming: For Data Science With Real Exercises! 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!

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Programming A-Z: R For Data Science Online Course

What things to 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
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Who this course is for:

This training suits people who :
  • 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
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Specifications R Programming A-Z™: R For Data Science With Real Exercises!

Course Information
  • Publisher : Udemy
  • Instructor : Kirill Eremenko, SuperDataScience Team, Ligency Team
  • Language : English
  • Level of training : from beginners to advanced
  • Duration Time : 10 hours 5 Minutes
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Courses Reviews: R Programming: For Data Science With Real Exercises!

Find helpful customer reviews and review ratings for R Programming A-Z™: R For Data Science With Real Exercises!
9.6Expert Score
Awesome

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!

Positive
  • This is an excellent course. I started learning R a few years ago, but enrolled in this course to fill in gaps. I expected it might be too simple, but the instructor's engaging style, his explanations and examples made this a wonderful course. Thank you!
  • This course breaks down the code so that you know how it works allowing me to better customize code to my needs. Other courses I would have to '"reverse engineer" the code to try and figure it out…often failing.
  • The course takes things slowly and progressively loads the complexity of the material which makes things much easier to learn. In addition, the recap and homework assignment after the end of each section gives the opportunity to put the things you've done by code in practice to really be tested in a practical and fun way. The creator is very competent on the topic and gives great tips so I would highly recommend this course to everyone interested even without prior coding background.
Negatives
  • Well taught course and easy to follow along, with lots of coding. Good emphasis on fundamentals, but is more meant for an audience that has very little experience with any kind of programming. For anyone who has experience with other languages, this may be a bit too easy and you may end up feeling like a lot of the videos could have been summed up with one quick example.
  • 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.
Josh Smith
Josh Smith

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