Advanced data visualization techniques with python

Step-by-step training for 3D and advanced visualization in python and Matplotlib (with all the codes)
Advanced data visualization techniques with python
File Size :
932.47 MB
Total length :
3h 18m



S. Emadedin Hashemi


Last update




Advanced data visualization techniques with python

What you’ll learn

Designing and illustrating figures and plots in 3D
Familiarity with Python libraries for data visualization
Knowledge of new and practical diagrams to visualize data in different fields
Create functions needed to draw plots professionally
Familiarity with creating, collecting and preparing data for visualization

Advanced data visualization techniques with python


No programming experience needed. You will learn everything you need to know.


Due to the importance of data visualization, there are many pieces of training on this subject that teach basic and preliminary data visualization. But in this course, we will teach you how to visualize your data in an advanced way in Python. In this course, we even teach 3D visualization so that you can specifically visualize your data and draw graphs using Python codes.You can use this course to visualize your data for managers, scientific papers, work projects, university classes, personal websites, and even advertisements.In today’s world, a lot of data is being generated on a daily basis. And sometimes to analyze this data for certain trends, and patterns may become difficult if the data is in its raw format. To overcome this data visualization comes into play. Data visualization provides a good, organized pictorial representation of the data which makes it easier to understand, observe, and analyze. In this course, we will discuss how to advanced visualize data using Python.This is just one demonstration of the usefulness of data visualization that makes it so popular in data science. Let’s see some more reasons why data visualization is so important:1. Data Visualization Discovers the Trends in Data2. Data Visualization is Interactive3. Data Visualization Provides a Perspective on the Data4. Data Visualization Explains a Data Process5. Data Visualization Strokes the Imagination6. Data Visualization Tells a Data Story7. Data Visualization Puts the Data into the Correct Context8. Data Visualization is Educational for Users9. Data Visualization Saves Time10. Data Visualization Presents Data BeautifullyAll of these reasons demonstrate the importance of data visualization in data science. Basically, it is a much more user-friendly method to understand the data and also demonstrates the trends and patterns in the data to other people. And it doesn’t hurt that data visualization is beautiful to look at and so more appealing to people than rows of boring data!


Section 1: Introduction

Lecture 1 Introduction

Section 2: Creating 3D Bar chart

Lecture 2 Creating 3D Bar Chart

Lecture 3 Codes

Section 3: Creating 3D Histogram

Lecture 4 Creating 3D Histogram

Lecture 5 Codes

Section 4: Creating 3D Contour Plots

Lecture 6 Creating 3D Contour Plots

Lecture 7 Codes

Section 5: Wireframes and Surface Plots

Lecture 8 Creating Wireframes and Surface Plots

Lecture 9 Codes

Section 6: Creating 3D Points and Lines

Lecture 10 Creating 3D Points and Lines

Lecture 11 Codes

Section 7: Surface Triangulations

Lecture 12 Surface Triangulations

Lecture 13 Codes

Section 8: Mobius strip

Lecture 14 Möbius strip

Lecture 15 Codes

Section 9: Creating 3D Scatter Plot

Lecture 16 Create 3D Scatter Plot using Matplotlib and Numpy

Lecture 17 Codes

Section 10: Creating 3D Line Graphs

Lecture 18 Create 3D Line Graphs using Numpy and Matplotlib library

Lecture 19 Codes

Section 11: Creating 3D Surface and Gradient Surface Plot

Lecture 20 How to Plot 3D Surface and Gradient Surface Graph

Lecture 21 Codes

Section 12: Creating 3D Wireframe Graph

Lecture 22 Plotting a Simple Wireframe Graph

Lecture 23 Creating Multiple Wireframe Graphs in the Same Plot

Lecture 24 Codes

Section 13: Draw Polar Scatter Plot

Lecture 25 Plotting Scatter Plot in Polar Coordinates

Lecture 26 Plotting Sine Function in the polar plot

Lecture 27 Plotting Scattered Tangent Function in a Polar Plot

Lecture 28 Plotting Scattered Logarithmic Graph in a Polar Plot

Lecture 29 Codes

Section 14: Draw a Polar Contour Plot in Matplotlib

Lecture 30 Plot a Polar Contour Plot

Lecture 31 Plot Multiple Contour Plot

Lecture 32 Plotting Polar Contour Plot of Fetching Dataset

Lecture 33 Codes

Section 15: Create Heatmaps using Python Folium

Lecture 34 Interesting Heatmaps using Folium

Lecture 35 Requirments

Lecture 36 Generate Heatmap

Lecture 37 Generate Heatmap with Time

Lecture 38 Codes


Course Information:

Udemy | English | 3h 18m | 932.47 MB
Created by: S. Emadedin Hashemi

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