Learn Data Science with R language

R language for data science

What Is Data Science?

It is a Concept to unify statistics, data analysis and their related methods “to understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many cluster analysis, data mining, databases, and visualization.

The Data Science Training enables you to gain knowledge of the entire Life Cycle of Data Science, analyzing and visualizing different data sets, different Machine Learning Algorithms like Linear regression, K-Means Clustering, Decision Tress, Random Forest, Neural Network, different optimization techniques and advanced concept in data science.

Why R for Data Science?

1. According to the Spectrum Survey by IEEE, R programming language – the king of statistical computing languages for analyzing and visualizing big data takes 6th place in “The 2015 Top Ten Programming Languages”. In 2014, R programming was at the 9th position and the drastic move this year reflects the significance of R language emerging as a powerful statistical tool in data science. In 2016, it moved up to 5th place and it will no doubt continue to rise over the years.

2. One of the main strengths of R is its huge community that provides support through mailing lists, user-contributed documentation and a very active Stack Overflow group. There is also CRAN, a huge repository of curated R packages to which users can easily contribute. These packages are a collection of R functions and data that make it easy to immediately get access to the latest techniques and functionalities without needing to develop everything from scratch yourself.

3. A Dice tech salary survey report released on January 2014 found that R programmers are among the highly paid big data professionals with an average salary of $115,531. This makes R among the highest paid programming languages.

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