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Learn R By Intensive Practice – Udemy

(10 customer reviews)

$20

Description

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

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.

Course content

  • Chapter 0: Introduction
  • Chapter 1: Getting Started
  • Chapter 2: Vectors (In-depth)
  • Chapter 3: Essential Concepts
  • Chapter 4: Mastering Data Frames (In-Depth)
  • Chapter 5: R Packages, Strings, Dates and Functions
  • Chapter 6: Debugging and Error Handling
  • Chapter 7: Mastering Functional Loops
  • Chapter 8: Real Project – Data Manipulation
  • Chapter 9: Grand Test

10 reviews for Learn R By Intensive Practice – Udemy

  1. Donny Phan

    Super practical. Lessons are catered towards anyone looking to find work in this industry. It felt very comprehensive and gave me a broad understanding of the programming spectrum

  2. Madhav raj Verma

    Thanks for your great effort. i am fully satisfied with this course the way you teach and your explanation are very clear ,The content you provide in your course no one can do this at this price.

  3. Sachin Gupta

    I really didn’t want to leave a low rating as Angela is a great teacher. The 1st half of this course was terrific. The 2nd half was terrible. Under the justification of “teaching students how to figure things out on their own”, pretty much all videos and all explanations were dropped. You were just told what to do, given links to documentation and told to figure it out on your own. I understand doing that to some degree, but to revert to that entirely for nearly half the content barely makes this a course. It’s just a list of things for you to learn, then you’re left on your own to learn them. The 2nd half was so bad, especially the data science component, that I didn’t bother finishing the course.

  4. Vincent Beaudet

    Amazing 40 days course.
    Angela is a great teacher.
    The other 60 days are all about web developement, interacting with web pages, on your own with little to no explanations. I did not expect that at all. I wanted to learn more about software and scripting.
    This left me disappointed , confused and i started to doubt myself. Not a fun experience after the amount of effort i’v put in this course.

    Exercices format and explanations for the first 40 days were worth it tho.

  5. Ben K

    Not just an introduction to python, but really helps you learn fundamental aspects of python and coding in general. Some parts may require some knowledge on the subject (data science comes to mind) and there is quite some web development in the course. So, a few areas were not completely to my liking (I would have liked to see it done differently), but this course deserves the 5 stars in my opinion.

  6. Omid Alikhel

    I found the method a bit difficult when a code is written and then changed back to something different, with no enough explanation of how something happened and where it came from or a step by step explanation of why something is happening, i have no doubt in the instructors talent, but we are beginners!

  7. Devang Jain

    The course is not updated and most of the solution codes don’t work and there are no video solutions towards the end

  8. Szymon Kozak

    I think that the course tutor is really good in giving right information to learn at the right time. Thanks to this fact, my understanding of coding in python after 29 days of learning is above my expectations.

  9. Begoña Ruiz Diaz

    Ha sido la mejor elección que podría haber hecho.

  10. Vaibhav Sachdeva

    I want to thank Angela for making such an amazing course. It really helped me explore more things with python.

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