Learn R From Scratch – Part 1

January 19, 2016
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(This article was first published on DataScience+, and kindly contributed to R-bloggers)

R is an open source programming language with a lot of facilities for problem solving through statistical computing. At the time of writing this, there are more than 6K packages available in CRAN repository.

R is a language and an environment for everything related to data analysis. That includes statistical computing, data mining, data analysis, machine learning, predictive modelling, quantitative analysis, optimization and operations research etc – all of which are somewhat inter-related terms. Data scientists, analysts, statisticians, quantitative analysts, forecasters, bio-statisticians, financial analysts, research scientists. These are some of the professions where R is commonly used. But, is R limited to these guys? NO, and not necessary!

But before you get to the machine learning part, you need to first nail the basic R language, which is what this whole tutorial is all about. Besides, R is the best platform to master this vast spectrum of knowledge. This tutorial below is the first part of the planned 3 part video tutorial series that explains the core concepts in the simplest terms. So, Lets begin.

Course Content

Find below all the video tutorials for this course.

That is! If you have questions or feedback, feel free to leave a comment.

To leave a comment for the author, please follow the link and comment on their blog: DataScience+.

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