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1. R Programming For Absolute Beginners

2. Introduction • R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. • R language is widely used among statisticians and data miners for developing statistical softwareand data analysis Polls, surveys of data miners, and studies of scholarly literature databases show that R's popularity has increased substantially in recent years.  • As of June 2018, R ranks 10th in the TIOBE index, a measure of popularity of programming languages.

3. History R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R Development Core Team, of which Chambers is a member. R is named partly after the first names of the first two R authors and partly as a play on the name of S. The project was conceived in 1992, with an initial version released in 1995 and a stable beta version in 2000.

4. How Companies Are Using R • Ford uses R to improve the design of its vehicles • Basically, Twitter uses R to monitor user experience • The US National Weather Service uses R to predict severe flooding • The Human Rights Data Analysis Group uses R to quantify the impact of war • R is being used by The New York Times to create infographics • Google uses R to calculate the ROI of advertising campaigns

5. List of companies that uses R for analytics • TechCrunch • Google • Facebook • Genpact • Bing • Orbitz • ANZ • The New York Times • Thomas Cook • Accenture • Wipro • Mozilla • Novartis • Merck

6. Advantages of R Programming • Comprehensive statistical analysis package as new technology and ideas • R is open-source software. Hence anyone can use and change it • R is an open source • Run anywhere and at any time, and even sell it under conditions of the license • Good for GNU/Linux and Microsoft Windows • R is cross-platform which runs on many operating systems • Welcome to provide bug fixes, code enhancements, and new packages

8. Course Details Anyone who works in data science understands the grueling task they sign themselves up for and how much of an ally R Programming language can be when dealing with tons of statistical data. R is becoming a popular language and environment for building cutting-edge scientific algorithms and intelligent analytics applications. Lectures:- 20 Video:- 3 hours Level:- All level Languages:- English Includes:- 30 day money back guarantee! Lifetime Access. No Limits! Certificate of Completion

9. What will you learn in this course? • What is R & how to install it into your systematic • Getting started with maths, vectors, arrays & matrices • Data handling, creating lists, data frames, functions • How to control flow in R, including looping programs • Importing and exporting data into and out of R • How to use and update Date and Time functions • How to handle packages, install them, and maintain them • Generate Pie Charts, Bar Graphs, Line Graphs, Box Plots, and Scatter Plots

10. Table of contents • Learn the fundamentals of programming with R, from reading and writing data to customizing visualizations and performing predictive analysis along with the following essential concepts of R Programming:- • Maths in R programming • Vector Array & Matrices • Looping & Flow Control • Getting Data IN & OUT of R • Handling Packages • Date & Time • Creating graphs • Bar Chart • Histogram • Pie Chart • Boxplots in R • Line Graph

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