Matplotlib, Seaborn, and Plotly Python Libraries Beginners

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Simon Sez IT

1:09:46

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1. Introduction

1. Introduction.mp4

01:55

2. WATCH ME Essential Information for a Successful Training Experience.mp4

02:11

3.1 Course Files.zip

3. DOWNLOAD ME Course Files.html

4.1 Exercise Files.zip

4. DOWNLOAD ME Exercise Files.html

5. Introduction to our Development Environment.mp4

02:48

2. MatplotLib

1. Preparing Our Data for Visualization.mp4

07:13

2. Creating Line Charts in MatplotLib.mp4

03:33

3. Customizing Line Chart in MatplotLib.mp4

05:13

4. Multiple Line Charts in MatplotLib.mp4

02:58

5. Bar Charts in MatplotLib.mp4

04:55

6. Scatter Plots in MatplotLib.mp4

03:57

7. MatplotLib Exercise Overview.mp4

00:53

8. MatplotLib Exercise Solution.mp4

01:37

9. Section Quiz.html

3. Seaborn

1. Line Charts in Seaborn.mp4

03:28

2. Bar Charts in Seaborn.mp4

06:40

3. Scatter Plots in Seaborn.mp4

03:18

4. Seaborn Exercise Overview.mp4

00:52

5. Seaborn Exercise Solution.mp4

02:09

6. Section Quiz.html

4. Plotly

1. Line Charts in Plotly.mp4

03:30

2. Multiple Line Charts in Plotly.mp4

04:08

3. Bar Charts in Plotly.mp4

04:02

4. Scatter Plots in Plotly.mp4

02:37

5. Plotly Exercise Overview.mp4

00:34

6. Plotly Exercise Solution.mp4

00:41

7. Section Quiz.html

5. Conclusion

1. Conclusion.mp4

00:34

Description

Master data visualization in Python with Matplotlib, Seaborn, and Plotly libraries for effective data storytelling.

What You'll Learn?

Prepare data for visualization using Matplotlib.
Create customized line charts with Matplotlib.
Generate multiple line charts for comparative analysis.
Construct bar charts to represent categorical data.
Develop scatter plots to explore relationships between variables.
Utilize Seaborn and Plotly libraries for diverse chart types.

Who is this for?

Beginner Python developer.

Business and data analysts.

Those who want to learn and use Matplotlib, Seaborn, and Plotly libraries for Python.

Professionals aiming to enhance their skills in data visualization.

What You Need to Know?

A fundamental understanding of basic Python syntax and data visualization concepts.

This course assumes no previous Matplotlib, Seaborn, or Plotly experience.

More details

Description
This course includes downloadable instructor and exercise files to work with and follow along.

In this Matplotlib, Seaborn, and Plotly Python Libraries for Beginners course, you'll embark on a journey to master three essential tools for data visualization in Python.

You'll start by learning Matplotlib, where you'll discover how to prepare your data and create various charts like line charts, bar charts, and scatter plots. Next, delve into Seaborn to refine your visualization skills with advanced chart techniques. Then, explore Plotly to create interactive and visually appealing charts that enhance your data storytelling capabilities.

Throughout the course, you'll engage in hands-on exercises to reinforce your understanding of each library. Whether you're a beginner or looking to enhance your Python proficiency, this course provides the essential tools to excel in data visualization tasks.

By the end of this course, you should be able to confidently navigate Matplotlib, Seaborn, and Plotly, equipped with the skills to transform raw data into compelling visuals. Gain proficiency in three powerful Python libraries, enhancing your data analysis skills and improving your ability to communicate insights effectively.

By the end of this course, you will be able to:
Prepare data for visualization using Matplotlib.
Create customized line charts with Matplotlib.
Generate multiple line charts for comparative analysis.
Construct bar charts to represent categorical data.
Develop scatter plots to explore relationships between variables.
Utilize Seaborn and Plotly libraries for diverse chart types.

This course includes:
1+ hours of video tutorials
22 individual video lectures
Course and exercise files to follow along
Certificate of completion**
Who this course is for:
Beginner Python developer.
Business and data analysts.
Those who want to learn and use Matplotlib, Seaborn, and Plotly libraries for Python.
Professionals aiming to enhance their skills in data visualization.

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