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R Programming A-Z: R For Data Science With Real Exercises!

R Programming A-Z: R For Data Science With Real Exercises!


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Course Highlights

  • Compatible on Mobile and TV

  • Earn a Cerificate on successful completion

  • Get Full Lifetime Access

Mode of learning: Online self study

Course Overview

Who should do this course ?
  • 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

What are the course deliverables ?
  • 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

More about 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, Sincerely, Kirill Eremenko

Curriculum (91 Chapters)

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    Average Rating


    Based on 1 Ratings

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    Kiran Kumar R

    It is a superb course , with basic to advanced in-depth knowledge on at programming, with real exercises to practice . This course has given me the a right start for taking my career forward

    Frequently Asked Questions

    How can I take this course?
    This course is delivered by an instructor through online videos and other documents only. You will be redirected to our partner site for making the payment and then accessing this course. You do not have to go to any classroom in any place for taking this course. You need an internet connection and a computer/laptop/mobile/tablet only.
    Is there a specific time within which I should complete my courses?
    Courses do not expire, and therefore, there is no time frame to complete your courses. Once you purchase this course, you can view it as many times as you want. You can do the course as fast or slow as you want. You can also view it from any machine in the world, whenever you want - forever.
    Do I get a certificate on taking this course?
    On completing the course, you will get a course completion certificate from Udemy.
    Do I get a refund in case I do not like this course?
    We have 7 days exchange policy. Please send email to in case you have any issues related to the courses you have purchased. We don’t provide any refunds. Please inform about course(s) that you want in exchange of the ones purchased earlier and our support team will help you. This policy will not be applicable if the participant has accessed more than 30% of the e-Learning content or has attended more than 1 class. Applicable only through courses purchased through Naukri Learning. For others, please contact the course provider directly.
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