The Complete Data Visualization with Python [2022]

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Hoang Quy La

6:28:24

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1. Introduction

1. Course Structure.mp4

01:20

2. How to make out of this course.mp4

01:52

2. Fundamental Visualization

1. Introduction to the section.mp4

01:25

2.1 GOOG.csv

2.2 introduction to matplotlib.zip

2. Line chart.mp4

10:18

3.1 introduction to matplotlib (1).zip

3. Bar chart.mp4

08:02

4.1 matplotlib.zip

4. Advanced Bar chart.mp4

17:26

5.1 matplotlib (1).zip

5. Grouped Bar chart.mp4

05:25

6.1 introduction to matplotlib (4).zip

6. Pie plot.mp4

09:50

7.1 matplotlib (2).zip

7. Two pie charts on a single graph.mp4

14:01

8.1 introduction to matplotlib (2).zip

8. Scatter plot.mp4

11:22

9.1 adult.csv

9.2 project 1 data visualization.zip

9. Project Implementation Part 1 Numerical attribute analysis.mp4

13:10

10.1 project 1 data visualization (1).zip

10. Project Implementation Part 2 categorical attribute analysis.mp4

06:27

11.1 project 1 data visualization (2).zip

11. Project Implementation Part 3 Population comparations with box plot.mp4

09:22

12.1 project 1 data visualization (3).zip

12. Project Implementation Part 4 Population comparations with bar plot.mp4

08:04

13.1 project 2 data visualization.zip

13.2 Universities imputed reduced.csv

13. Project 2 Implementation Part 1.mp4

12:02

14.1 project 2 data visualization (1).zip

14. Project 2 Implementation Part 2.mp4

08:11

15.1 project 2 data visualization (2).zip

15. Project 2 Implementation Part 3.mp4

09:42

16.1 project 2 data visualization (3).zip

16. Project 2 Implementation Part 4.mp4

06:50

17.1 project 2 data visualization (4).zip

17. Project 2 Implementation final Part.mp4

14:10

3. Intermediate Visualization

1.1 advanced scatter plot.zip

1.2 hpi data countries.zip

1. Advanced Scatter plot Part 1.mp4

20:59

2.1 advanced scatter plot (1).zip

2. Advanced Scatter plot Part 2.mp4

06:02

3.1 advanced scatter plot (2).zip

3. Advanced Scatter plot Part 3.mp4

05:16

4.1 advanced scatter plot (3).zip

4. Advanced Scatter plot Part 4.mp4

03:18

5.1 advanced scatter plot (4).zip

5. Advanced Scatter plot Part 5.mp4

06:08

6.1 advanced scatter plot (5).zip

6. Advanced Scatter plot Final Part.mp4

07:03

7.1 advanced bar plot.zip

7. Advanced Bar Chart Part 1.mp4

05:32

8.1 advanced bar plot (1).zip

8. Advanced Bar Chart Part 2.mp4

04:04

9.1 advanced bar plot (2).zip

9. Advanced Heatmap.mp4

07:39

10.1 advanced bar plot (3).zip

10. Advanced combination of bar and heatmap.mp4

10:03

11.1 googleplaystore.csv

11.2 project 3.zip

11. Project 3 Practice bar plot, heatmap and circles.mp4

18:05

4. Advanced Visualization

1.1 introduction to plotly.zip

1. Introduction to Plotly.mp4

08:34

2.1 introduction to plotly (1).zip

2. Basic plot with Plotly.mp4

08:27

3.1 introduction to plotly.zip

3.2 PovStatsData.csv

3. Project 4 Implementation Part 1.mp4

13:06

4.1 introduction to plotly (1).zip

4. Project 4 Implementation Part 2.mp4

13:17

5.1 introduction to plotly (2).zip

5. Project 4 Implementation Part 3.mp4

09:36

6.1 another dimension.zip

6.2 WH Report preprocessed.csv

6. Introduction to Another dimensions Part 1.mp4

12:19

7.1 another dimension (1).zip

7. Introduction to Another dimensions Part 2.mp4

08:16

8.1 another dimension (2).zip

8. Introduction to Another dimensions Part 3.mp4

10:33

9.1 another dimension (3).zip

9. Introduction to Another dimensions Final Part.mp4

09:54

10.1 bubble plot.zip

10. (ONLY AVAILABLE IN THIS COURSE) other advanced plotting methods Part 1.mp4

11:16

11.1 another advanced plotting techniques.zip

11. (ONLY AVAILABLE IN THIS COURSE) other advanced plotting methods Part 2.mp4

05:11

12.1 another advanced plotting techniques (1).zip

12.2 HR comma sep.csv

12. (ONLY AVAILABLE IN THIS COURSE) other advanced plotting methods Part 3.mp4

04:17

13.1 another advanced plotting techniques (2).zip

13. (ONLY AVAILABLE IN THIS COURSE) other advanced plotting methods Final Part.mp4

09:14

5. Thank you

1. Thank you.mp4

01:16

Description

Learn python and how to use it to analyze, visualize and present data. Includes tons of sample code and hours of video!

What You'll Learn?

Matplotlib
Pandas
Numpy
Plotly
Dash
3D-plotting
4D-plotting
Slider
KDE plots
Violin plots
Joint plots
Heatmaps
Bar Chart
Pie Chart
lm plots
Bubble_plot

Who is this for?

You should take this course if you want to become a Data Scientist or if you want to learn about the field

This course is for you if you want a great career

The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

What You Need to Know?

Solid Python Knowledge

More details

Description
This course will give you resources to learn python and effectively use it to analyze and visualize data! Start your career in Data Science!
You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.
You will also get lifetime access to many python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!
By the end of this course you will:
- Have an understanding of how to program in Python.
- Know how to create and manipulate arrays using NumPy and Python.
- Know how to use pandas to create and analyze data sets.
- Know how to use matplotlib and seaborn libraries to create beautiful data visualization.
- Have an understanding of many other plots such as lm plots, Bubble plots, and many other kinds of plots which will not be covered in any other course.
- Have an understanding of plotly and dash and how to use them in the most efficient way.
- Know how to perform 3D and 4D plots.
Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your own models. There are more than 5 projects for you to practice. These projects are listed below:
World Health Report project.
Poverty Statistics Data project.
Google Play Store dataset project.
HPI dataset Project.
Universities dataset Project.
Who this course is for:
You should take this course if you want to become a Data Scientist or if you want to learn about the field
This course is for you if you want a great career
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

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My name is Hoang Quy La. I did graduate from RMIT University as a first class honours in electrical engineering and I am currently studying master of software engineering in CDU at Australia. I have taught over 1250 students with 5 star reviews. I did develop a AI Chatbot with Tensorflow 2.0 with Flask by using Python and this Chatbot was implemented in the top University in Viet Nam. My current project is about AI in Healthcare applications. I also did complete my internship at SGS and Power System Company. Check my LinkedIn for all projects which I did in AI field.

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