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Find out the Best Resources to Learn R for Data Science

Sole from Train in Data
11 min readJun 27, 2019

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You are thinking about becoming a data scientist. You have looked around and soon enough realized that R is one of the languages you need to learn. But what is R?

R is a free software environment designed for statistical computing and data analysis, widely used among statisticians, data miners and data scientists, both in industry and academia. In fact, R is one of the most widely used languages for data science, along with Python.

Why is R good for Data Science?

R was designed for statistical analysis and therefore the repertoire of statistical tests available in R is unbeatable. In addition, there is a growing number of libraries to help accomplish various data science daily tasks including i) implementation of machine learning algorithms, ii) data gathering (through SQL queries or from the web, among others), iii) data visualization and iv) results presentation.

R is used as the data science and machine learning language of choice in many companies, including big names. And perhaps more exciting, R is extensively used in academia, for statistical analysis in the context of genome analysis, drug testing, RNA sequencing and more.

Should I learn R?

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Sole from Train in Data
Sole from Train in Data

Written by Sole from Train in Data

Data scientist | instructor (www.trainindata.com)| book author | Python open-source developer. Subscribe 👉: https://www.trainindata.com/p/data-bites

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