Data Visualization using R Programming
Learn efficient data visualization with R programming in this course
Updated on Jun, 2025
Language - English
Development ,Data Science,R Programming
Lectures -15
Duration -10 hours
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Course Description
If you want to work on an exciting analytics and data visualization project, then this is the starting point for you.
Data is the currency of now and the 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 consists of many sub-parts which are a subject in itself, in our course have tried to paint a clear picture of what you need to know and what people will be looking for in a visualization project.
UX in Data visualization is key in modern times to meet the expectations 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 aspects of Data visualization in the most simple and clear fashion. So you can start the journey in the Data visualization world.
Who is this course for?
- Beginner Python developers are 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.
- Additional BoxPlot Style Parameters.
Prerequisites
- Having a basic understanding of statistics.
Curriculum
Check out the detailed breakdown of what’s inside the course
Data Visualization using R Programming
14 Lectures
-
Introduction
01:34
01:34
-
Data Visualization using R, Pie Charts, 3D Pie Charts & Bar Charts
59:20
59:20
-
Box Plots
54:38
54:38
-
Histograms & Line Graphs
45:26
45:26
-
Scatter Plots & Scatterplot Matrices
01:03:47
01:03:47
-
Low Level Plotting
56:01
56:01
-
Bar Plot & Density Plot
46:31
46:31
-
Combining Plots
35:37
35:37
-
Analysis with ScatterPlot, BoxPlot, Histograms, Pie Charts & Basic Plot
51:07
51:07
-
MatPlot, ECDF & BoxPlot with IRIS Dataset
01:02:55
01:02:55
-
Additional BoxPlot Style Parameters
01:01:41
01:01:41
-
What is Data Science
30:42
30:42
-
What is Machine Learning
25:06
25:06
-
Data Visualization using Pandas
19:33
19:33
Instructor Details
DATAhill Solutions Srinivas Reddy
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