Machine Learning For Absolute Beginners

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R Programming For Absolute Beginners
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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
  software and 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.

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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.
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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

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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

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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

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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
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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

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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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