Data Visualization using R Programming
Learn why, what, how about data visualization in simple and easy way by using R
Updated on Apr, 2024
Language - English
Lectures -15
Duration -10 hours
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Course 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
What will you learn in this course:
- 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
What are the prerequisites for this course?
- Having a basic understanding about 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
Data ScientistMr. Srinivas Reddy is Founder & MD of DATAhill Solutions
He is Research Scholar (Ph.D) on Artificial Intelligence & Machine Learning
He Received Masters of Technology in Computer Science & Engineering from JNTU, MICROSOFT Certified Professional, IBM Certified Professional & Certified from IIT Kanpur & IIT Ropar.
Having 10+ Years of Experience in Software & Training.
His Experience includes Managing, Data Processing, Data Cleaning, Predicting and Analyzing of Large volume of Business Data.
Expertise in Data Science, Data Analytics, Machine Learning, Deep Learning, Artificial Intelligence, Python, R, Weka, Data Management & BI Technologies.
Having Patents and Publications in Various Fields such as Artificial Intelligence, Machine Learning and Data Science Technologies.
Professionally, He is Data Science Management Consultant with over 7+ years of Experience in Finance, Retail, Transport and other Industries.
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