Pandas Challenges

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Ted Petrou

1:16:54

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1. Introduction

1. Pandas Challenges Introduction.mp4

02:02

2. Getting Started with the Challenges.mp4

09:09

2. Challenges

1. Dunder Data Pandas Challenge #1.mp4

03:36

2. Dunder Data Pandas Challenge #2.mp4

02:34

3. Dunder Data Pandas Challenge #3.mp4

02:02

4. Dunder Data Pandas Challenge #4.mp4

03:18

5. Dunder Data Pandas Challenge #5.mp4

03:57

6. Dunder Data Pandas Challenge #6.mp4

02:07

7. Dunder Data Pandas Challenge #7.mp4

03:29

8. Dunder Data Pandas Challenge #8.mp4

03:17

9. Dunder Data Pandas Challenge #9.mp4

06:16

10. Dunder Data Pandas Challenge #10.mp4

06:16

11. Dunder Data Pandas Challenge #11.mp4

03:09

12. Dunder Data Pandas Challenge #12.mp4

02:18

13. Dunder Data Pandas Challenge #13.mp4

02:28

14. Dunder Data Pandas Challenge #14.mp4

01:56

15. Dunder Data Pandas Challenge #15.mp4

01:38

16. Dunder Data Pandas Challenge #16.mp4

03:01

17. Dunder Data Pandas Challenge #17.mp4

01:07

18. Dunder Data Pandas Challenge #18.mp4

00:41

19. Dunder Data Pandas Challenge #19.mp4

00:58

20. Dunder Data Pandas Challenge #20.mp4

01:00

21. Dunder Data Pandas Challenge #21.mp4

01:12

22. Dunder Data Pandas Challenge #22.mp4

01:30

23. Dunder Data Pandas Challenge #23.mp4

04:52

24. Dunder Data Pandas Challenge #24.mp4

01:30

25. Dunder Data Pandas Challenge #25.mp4

01:31

Description

Solve these data analysis challenges using the Python Pandas library

What You'll Learn?

You will learn how to answer a wide variety of data analysis questions using the Pandas library
You will learn best practices for using the pandas library
You will learn how to develop the most efficient solutions using pandas
You will learn how to answer difficult pandas challenges

Who is this for?

Beginning, Intermediate, and Advanced users of Pandas looking for challenging exercises covering a wide variety of data analysis topics.

What You Need to Know?

You need to have a solid grasp of the fundamentals of Python

You need to have worked with the Pandas data analysis library previously

More details

Description
In this course you are presented with dozens of data analysis challenges requiring the Python Pandas library to solve. Each challenge is provided within a Jupyter Notebook and upon submission will get graded immediately. The challenges vary in difficulty and cover nearly all parts of the pandas library. Video solutions for each challenge are provided so that you can see exactly how Ted thinks about the problem.
Ted Petrou is a world-renowned pandas expert having written the books Pandas Cookbook and Master DataÂ Analysis with Python. Ted has also answered more than 400 pandas questions on Stack Overflow and taught thousands of students both in-person and online. With this experience, he has developed hundreds of exercises that aim to teach the most efficient and effective ways at using the pandas library.
The pandas library is one of the most powerful and popular tools today for analyzing data with Python. Although it is widely used, it takes a long time to master. There are often multiple ways of solving the same problem and unfortunately many of these solutions are poor and ineffective. Ted has developed these challenges to teach you the very best practices for doing data analysis with pandas.
Do you have what it takes to solve these challenges?
Who this course is for:
Beginning, Intermediate, and Advanced users of Pandas looking for challenging exercises covering a wide variety of data analysis topics.

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Pandas

Ted Petrou

Instructor's Courses

I am the author of Pandas Cookbook and Master Data Analysis with Python, highly rated texts on performing real-world data analysis with Pandas.I am the founder of Dunder Data, a company that teaches the fundamentals of data science and machine learning. I enjoy discovering best practices on how to use and teach data analysis with Python.I also enjoy creating open-source Python libraries and am author of Dexplot, Bar Chart Race, DataFrame Image, and Jupyter to Medium.

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