## Data Visualization using R Programming

Learn why, what, how about data visualization in simple and easy way by using R

#### Description

• f you want to work in exciting analytics and data visualization project, then this is the starting point for you.

• Data is the currency of now and potential to use it the right way, at the right time for the right reason gives you possibility beyond imagination.

• Data visualization is a vast topic and consist of many sub-parts which are a subject in itself, we in our course have tried to paint a clear picture of what you need to know and what people will be looking of you in a visualization project.

• UX in Data visualization is key in modern times to meet the expectation of your user, this course will highlight what are the benefits of using a good UX and how to do it.

• This course is structured to provide all the key aspect of Data visualization in most simple and clear fashion.So you can start the journey in Data visualization world.

# Who this course is for:

• Beginner Python developers curious about Data Science

#### Goals

• Data Visualization using R, Pie Charts, 3D Pie Charts & Bar Charts
• Box Plots
• Histograms & Line Graphs
• Scatter Plots & Scatterplot Matrices
• Low Level Plotting
• Bar Plot & Density Plot
• Combining Plots
• Analysis with ScatterPlot, BoxPlot, Histograms, Pie Charts & Basic Plot
• MatPlot, ECDF & BoxPlot with IRIS Dataset

#### Prerequisites

• Having a basic understanding about statistics

#### Curriculum

• Introduction
01:34
Preview
• Data Visualization using R, Pie Charts, 3D Pie Charts & Bar Charts
59:20
Preview
• Box Plots
54:38
• Histograms & Line Graphs
45:26
• Scatter Plots & Scatterplot Matrices
01:03:47
• Low Level Plotting
56:01
• Bar Plot & Density Plot
46:31
• Combining Plots
35:37
• Analysis with ScatterPlot, BoxPlot, Histograms, Pie Charts & Basic Plot
51:07
• MatPlot, ECDF & BoxPlot with IRIS Dataset
01:02:55
01:01:41
• What is Data Science
30:42
• What is Machine Learning
25:06
Preview
• Data Visualization using Pandas
19:33
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##### This Course Includes
• 10 hours
• 14 Lectures
• Completion Certificate
• 30-Days Money Back Guarantee

#### Sample Certificate

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