Data Visualizations using R with Data Processing
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510 students enrolled

# Data Visualizations using R with Data Processing

Data Visualizations with R
0.0 (0 ratings)
510 students enrolled
Created by Eric M. H. Goh
Last updated 12/2018
English
Current price: \$10.99 Original price: \$199.99 Discount: 94% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
• 1.5 hours on-demand video
• Access on mobile and TV
• Certificate of Completion
Training 5 or more people?

What you'll learn
• Data Visualizations using R
Course content
Expand 35 lectures 01:35:45
+ Introduction
35 lectures 01:35:45
Preview 07:09
Preview 02:07
Getting Started 3
01:30
Hello World Application
00:58
Data Mining Process
05:37
01:11
01:08
Preview 03:13
Export Bar Plot Image
01:41
Horizontal Bar Chart
01:46
Histogram
03:11
Histogram with Density Line
02:26
LIne Chart
02:44
Multiple Line Chart
02:46
Pie Chart
02:42
3D Pie Chart
02:39
Scatterplot
02:16
Boxplot
03:40
Scatterplot Matrix
03:07
GGPlot2
03:30
Aesthetic mapping and Geometric
02:12
Geometric
04:05
Labels and Titles
01:40
Themes
06:44
Bar Chart
02:12
Histogram
02:41
Density Plot
01:34
Scatterplot
03:06
Line Chart
02:09
Boxplot
01:25
Save GGPLot
Processing..
Select Attributes
04:55
Sort Data
04:04
Filter Data
02:06
Remove Missing Values and Duplicates
01:31
Requirements
• Fundamentals R programming
Description

This is the bite size course to learn R Programming for Data visualizations. In CRISP DM data mining process, Data Visualization is at the Data Understanding stage. This course also covers Data processing, which is at the Data Preparation Stage.

You will need to know some R programming, and you can learn R programming from my "Create Your Calculator: Learn R Programming Basics Fast" course.  You will learn R Programming for applied statistics and you will be able

You can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Certified Data Miner using R certificate :

- Create Your Calculator: Learn R Programming Basics Fast (R Basics)

- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)

- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in future)

- Machine Learning with R (Modeling and Evaluation)

Content

1. Getting Started

2. Getting STarted

3. Getting Started

4. Hello World Application

5. Data Mining Process

8. Bar Plot

9. Export Bar CHart as Image

10. Horizontal Bar Chart

11. Histogram

12. Histogram with Density Line

13. LIne Chart

14. Multiple Line Chart

15. Pie Chart

16. 3D Pie Chart

17. Scatterplot

18. Boxplot

19. Scatterplot Matrix

20. GGPlot 2

21. Aesthetic Mapping and Geometric

22. GEometrics

23. Labels and Titles

24. Themes

25. GGPlot2: Bar CHart

26. GGPlot2: HIstogram

27. GGPlot2: Density Plot

28. GGPlot2: Scatterplot

29. GGPLot2: Line Chart

30. GGPLot2: BoxpLot

31. Save GGPLot Image

32. Data Processing: Select Variables

33. Data Processing: Sort Data

34. Data Processing: Filter Data

35. Data Processing: Remove Duplicates and Missing Values

References:

This course is actually based on the Learn R for Applied Statistics book I have published at Apress.

Who this course is for:
• Beginner Data Scientist or Analyst interested in R programming