📮 Essentials of R for Data Analytics by Saroj Dahiya Ratnoo (.ePUB)

With widespread and exponential growth of data, people with Data Science background are in great demand. Data analytics, a subdomain of Data Science, is meant to turn data into insight and actionable knowledge. Data analytics mainly deals with exploring, visualizing, transforming and modelling data for making predictions. Learning R is an essential step towards becoming a data analyst. R is a widely used open-source tool that competes with the other commercially available statistical software. Be it simple data exploration or application of sophisticated statistical and data analytic techniques, the versatility of R is making it an essential tool for working with data. Data Science and data analytics are emerging as essential and much sought after skills in the world today. Data Science includes anything and everything that we can do with data. To be able to realise the full potential of R, it is important to have some level of expertise in R programming so that exasperation does not set in. With no or little knowledge of R programming, any straight away jumping to data analytics may lead to a loss of time and energy in finding and resolving the errors. This book is for undergraduate and postgraduate students, and for research scholars who wish to learn the essential elements of R programming and its tools for data analytics.

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