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LeaRning Path on R – Step by Step Guide to Learn Data Science on R No ratings yet.

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LeaRning Path on R

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Analytics Vidhya

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Analytics Vidhya

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One of the common problems people face in learning R is lack of a structured path. They don’t know, from where to start, how to proceed, which track to choose? Though, there is an overload of good free resources available on the Internet, this could be overwhelming as well as confusing at the same time.

To create this R learning path, Analytics Vidhya and DataCamp sat together and selected a comprehensive set of resources to help you learn R from scratch. This learning path is a great introduction for anyone new to data science or R, and if you are a more experienced R user you will be updated on some of the latest advancements.

This will help you learn R quickly and efficiently. Time to have fun while lea-R-ning!”

This curriculum consists of the following steps:

  1. Setting up your machine
  2. Learn the basics of R language with resources including DataCamp’s Introduction to R course
  3. Understanding the R community
  4. Importing and manipulating your data
  5. Effective Data Visualization
  6. Data Mining and Machine Learning
  7. Reporting Results
  8. Time Series Analysis
  9. Becoming an R Master

Recommended Prerequisites: none specified

Go to Content: LeaRning Path on R – Step by Step Guide to Learn Data Science on R