Learn Basic Data Visualization with R

Learn The Basic Concepts of Data Visualisation. You will learn how to visualise the data using R programming tool.
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  • Lectures 33
  • Length 3 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
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    Available on iOS and Android
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About This Course

Published 1/2016 English

Course Description

Data Visualization with R course provides basic as well as advance skills & knowledge required to become a Data visualization Analyst. This course provides you a better vision of Data visualization in order to train you excellently. Participants, at the end of the training, will be technically competent in essential concepts of Analysis such as why Data visualization is important and basic R, Graphical Parameters used in data visualization, various types of graphs such as Line Graph, Scatterplot, Bar plot, Histogram, Organizational chart and a brief introduction of ggplot2 package.

This course contains lectures as videos along with the hands-on implementation of the concepts, additional assignments are also provided in the last section for your self-practice, working files are provided along with the every lectures.

What are the requirements?

  • It will be an advantage if you know how to work with R tool. But if you are not familiar with R tool, don’t worry…you’ll learn how to use them, in this course.
  • if you are familiar with the charts and graphs, you will get the concepts quickly.
  • Basic R Programming knowledge is helpful but not required

What am I going to get from this course?

  • Data visualization and its importance
  • R Analytics tool
  • Importing Data into R from different Sources.
  • Graphical parameters.
  • Basic plotting
  • Ways to give colors in graphs such as RColorBrewer, RGB specification, Color palettes.
  • Different types of graph
  • Understanding how ggplot2 package used for visualization
  • Working on Twitter Streaming Data by making a network graph of friends and followers in R.

What is the target audience?

  • Data Visualization Analyst
  • Business Anlayst
  • Data Scientist
  • Software developers who need to understand and analyse Big Data

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction
Welcome
Preview
04:15
Why Data Visualization is Important
Preview
02:59
Overview of R
Preview
04:02
Basic math and variables
05:30
Vector and Matrices
05:22
List and DataFrame
03:36
Factors, Subset and summarizing methods
06:59
Importing Data into R-Part I
07:04
Importing Data into R-Part II
06:37
Section 2: Basic Plotting
Plot Function in R
09:25
Plot Function in R part-II
11:12
Working with colors-RGB
07:15
Working with Colors-Color Palette
05:02
Working with Colors-RColorBrewer
07:30
Section 3: Types of Graphs
Types of Graphs
03:54
Line Graph
06:20
Scatterplot
06:43
Barplot
06:08
Histogram
04:49
PieChart
05:39
Table Plot
04:08
Boxplot
06:30
Pictograph
02:58
Organizational Chart
03:23
Section 4: Plotting with ggplot2
Introduction to ggplot2
03:22
qplot in R
04:11
visualize with ggplot2
09:12
ggthemes
06:15
Facets
07:10
Legends
04:08
Annotation
04:44
Section 5: Network Graph and Project
Network Graph
03:42
Twitter data analysis
09:27

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