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Learn R From Scratch – Part 1

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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.

1. Installing R02:01
2. R’s Interface05:17
3. Basic Math03:25
4. Variables and Datatypes04:12
5. Introducing Vectors03:29
6. Set up your work directory02:57
7. Create vectors sequences – Part 103:06
8. Create vectors sequences – Part 202:30
9. Random Numbers01:59
10. Find and Remove Missing Values02:59
11. Get specific items from vector using which()03:36
12. Convert one variable type to another03:10

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

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