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Mastering Data Analysis with Python Pandas

56 Lessons
9 Quizzes
9 Challenges
103 Playgrounds
30 Illustrations

Takeaway Skills

Hands-on experience with Python Pandas

Learn about data analysis and manipulation functions of Python Pandas

Hands-on experience with Python Pandas

Learn about data analysis and manipulation functions of Python Pandas

Course Overview

There are several exercises that focus on how to use a particular function and method. The functions are covered in detail by explaining the important parameters and how to use them. By completing this course, you will be able to do data analysis and manipulation with Pandas easily and...

How You'll Learn

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Course Contents

1. Course Introduction
2. Pandas Data Structures
3. Creating a Data Frame
4. Exploring a Data Frame
5. Filtering a Data Frame
6. String Manipulation with Pandas
7. Date Manipulation with Pandas
8. Handling Missing Values with Pandas
9. Data Analysis with Pandas
10. Data Visualization with Pandas
11. Combining DataFrames with Pandas
12. Final Challenge and Quiz

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COURSE BY:

Soner Yildirim

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