Overview
5h 43m | 40 Videos | 63283 Views | 
Intermediate| English[Auto-generated] Business Analytics using R (Module #2) – Data Manipulation & Statistics:
R has become the widely used programming language for computational statistics, visualization and data science. R is used by many statisticians, scientists and data analysts to find a solution for their problem in various fields. R is used as the most important tool for business analytics in companies like Google, Facebook and LinkedIn. R contains every data analytics techniques at your fingertips. It helps you to perform some of the most commonly performed tasks by business analysts with the help of its 4000 packages.
Through this course you will learn about course introduction, evolution of business analytics, data for business analytics, descriptive decision models, data manipulation & statistics basics, merging, quantiles, calculating covariance, scatter plot, control flow, statistics, probability & distribution, exponential distribution practice problem, expected value from binomial, probability distributions examples and many more.
Target Customers:
This course will be useful for students and Data analysts and people from Analytics domain. It will also be useful for people who wanted to learn business analytics using R.
Pre-Requisites:
Pre-Requites:-
The pre requisites for this course include basic knowledge of statistics. Knowledge in any other programming language is an added advantage but not a must.
