Data Analysis with R Programming is a comprehensive course that provides a good insight into the latest and advanced features available in different formats.
It explains in detail how to perform various data analysis functions using R Programming.
The course has plenty of resources that explain how to use a particular feature, in a step-by-step manner.
The volume of data that one has to deal has exploded to unimaginable levels in the past decade, and at the same time, the price of data storage has systematically reduced.
Private companies and research institutions capture terabytes of data about their users’ interactions, business, social media, and also sensors from devices such as mobile phones and automobiles.
The challenge of this era is to make sense of this sea of data.This is where data analytics comes into picture.
Data Analytics largely involves collecting data from different sources, munge it in a way that it becomes available to be consumed by analysts and finally deliver data products useful to the organization business.
The process of converting large amounts of unstructured raw data, retrieved from different sources to a data product useful for organizations forms the core of Data Analytics.
In this online course, we will discuss the most advanced concepts and methods of Data Analytics.
Before you start proceeding with this course, we assume that you have prior exposure to handling huge volumes of unprocessed data at an organizational level. Through this course, we will develop a mini project to provide exposure to a real-world problem and how to solve it using Data Analytics. This course has been designed for all those readers who depend heavily on R Programming to prepare charts, tables, and professional reports that involve complex data. It will help all those readers who use R Programming regularly to analyze data