Data Visualization using Python and R
Learn why, what, how about data visualization in simple and easy way using PYTHON & R
Updated on Apr, 2024
Language - English
Lectures -22
Duration -13 hours
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Course Description
If 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:
- People who want to get into data visualization.
- Developers who want to work in analytics and visualization project.
- Web, Mobile App and Software Designer.
- Design thinker.
- Graduate Students and University Students.
Goals
What will you learn in this course:
- Learn and understand the importance of data visualization.
- Learn about basic and advance chart types used in data visualization
- Get a solid understanding of how people work in data visualization project.
- Learn what is user experience in data visualization and its importance
- Learn the psychology of visualization with Gestalt Principles
Prerequisites
What are the prerequisites for this course?
- Having a basic understanding about mathematics
Curriculum
Check out the detailed breakdown of what’s inside the course
Data Visualization using Python and R
21 Lectures
-
Introduction
01:25
01:25
-
Matplotlib Introduction
31:23
31:23
-
PyPlot, Bar, Pie, Histogram, Scatter & 3D Plot
32:58
32:58
-
Multiple Plots in a Graph
14:38
14:38
-
Seaborn Plotting Functions
30:49
30:49
-
Plotting with Categorical Data
15:40
15:40
-
Multi-Plot Grids
33:55
33:55
-
Plot Aesthetics
17:39
17:39
-
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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