Advanced data visualization techniques with python 2023

Focused View

S. Emadedin Hashemi

3:17:31

150 View

1 - Introduction

1 - Introduction.mp4

01:52

2 - Creating 3D Bar chart

2 - Creating 3D Bar Chart.mp4

13:02

3 - Codes.html

3 - codes.zip

3 - Creating 3D Histogram

4 - Creating 3D Histogram.mp4

09:39

5 - Codes.html

5 - Codes.zip

4 - Creating 3D Contour Plots

6 - Creating 3D Contour Plots.mp4

04:36

7 - Codes.html

7 - codes.zip

5 - Wireframes and Surface Plots

8 - Creating Wireframes and Surface Plots.mp4

05:26

9 - Codes.html

9 - codes.zip

6 - Creating 3D Points and Lines

10 - Creating 3D Points and Lines.mp4

05:40

11 - Codes.html

11 - codes.zip

7 - Surface Triangulations

12 - Surface Triangulations.mp4

04:13

13 - Codes.html

13 - codes.zip

8 - Mobius strip

14 - Mobius strip.mp4

05:42

15 - Codes.html

15 - codes.zip

9 - Creating 3D Scatter Plot

16 - Create 3D Scatter Plot using Matplotlib and Numpy.mp4

09:55

17 - 3D-Scatter-Plot.zip

17 - Codes.html

10 - Creating 3D Line Graphs

18 - Create 3D Line Graphs using Numpy and Matplotlib library.mp4

07:00

19 - Codes.html

19 - codes.zip

11 - Creating 3D Surface and Gradient Surface Plot

20 - How to Plot 3D Surface and Gradient Surface Graph.mp4

20:42

21 - Codes.html

21 - Codes.zip

12 - Creating 3D Wireframe Graph

22 - Plotting a Simple Wireframe Graph.mp4

11:17

23 - Creating Multiple Wireframe Graphs in the Same Plot.mp4

09:17

24 - Codes.html

24 - Codes.zip

13 - Draw Polar Scatter Plot

25 - Plotting Scatter Plot in Polar Coordinates.mp4

11:28

26 - Plotting Sine Function in the polar plot.mp4

07:33

27 - Plotting Scattered Tangent Function in a Polar Plot.mp4

07:02

28 - Plotting Scattered Logarithmic Graph in a Polar Plot.mp4

06:53

29 - Codes.html

29 - Codes.zip

14 - Draw a Polar Contour Plot in Matplotlib

30 - Plot a Polar Contour Plot.mp4

14:06

31 - Plot Multiple Contour Plot.mp4

09:52

32 - Plotting Polar Contour Plot of Fetching Dataset.mp4

07:55

33 - Codes.html

33 - Codes.zip

15 - Create Heatmaps using Python Folium

34 - Interesting Heatmaps using Folium.mp4

06:03

35 - Requirments.html

35 - Requirments.zip

36 - Generate Heatmap.mp4

10:54

37 - Generate Heatmap with Time.mp4

07:24

38 - Codes.html

38 - Codes.zip

Description

Step-by-step training for 3D and advanced visualization in python and Matplotlib (with all the codes)

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

Who is this for?

Developers

Data Analysts

Data Scientists

Students

Researchers

Managers

More details

Description
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 todayâ€™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. Letâ€™s see some more reasons why data visualization is so important:
1. Data Visualization Discovers the Trends in Data
2. Data Visualization is Interactive
3. Data Visualization Provides a Perspective on the Data
4. Data Visualization Explains a Data Process
5. Data Visualization Strokes the Imagination
6. Data Visualization Tells a Data Story
7. Data Visualization Puts the Data into the Correct Context
8. Data Visualization is Educational for Users
9. Data Visualization Saves Time
10. Data Visualization Presents Data Beautifully
All 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 doesnâ€™t hurt that data visualization is beautiful to look at and so more appealing to people than rows of boring data!
Who this course is for:
Developers
Data Analysts
Data Scientists
Students
Researchers
Managers

User Reviews

Rating

average 0

Total votes0

Focused display

He is a researcher and lecturer in data science and machine learning courses. After graduating from university, he has worked and researched in the field of data science and data analysis for many years. He has collaborated with various companies in the field of financial analysis and data analysis. Has held various courses in this field that can help you improve and accelerate your performance.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.