• In this short video we talked about the reason one should learn R programming language, R programming can be used to import and clean the data. R programming can be used for data manipulation, R programming language can be used to compute, basic, exploratory, and advanced statistics. R programming can be used to formulate. Grammar of graphics is an important strength of R programming, R programming can be used to forecast time-series datasets using ARIMA models, R programming can be used to engage in different types of financial analytics that include risk management, equity evaluation, bond valuation, and many more methods. R programming can be used for Supervised and Unsupervised Machine Learning Models. R programming can process text data by doing sentiment analysis and topic modeling. R programming can create spatial maps and compute spatial statistics. In the field of Marketing Analytics, R programming can be used to conduct Market-Basket Analysis, Choice, and Response Modeling, R programming can be used to engage in next-generation sequencing and RNA-seq differential expression analysis. R programming can be used to make web applications and interactive dashboards.

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