Pandas Challenges
Pandas Challenges, available at $49.99, has an average rating of 4.38, with 27 lectures, based on 4 reviews, and has 483 subscribers.
You will learn about 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 This course is ideal for individuals who are Beginning, Intermediate, and Advanced users of Pandas looking for challenging exercises covering a wide variety of data analysis topics. It is particularly useful for Beginning, Intermediate, and Advanced users of Pandas looking for challenging exercises covering a wide variety of data analysis topics.
Enroll now: Pandas Challenges
Summary
Title: Pandas Challenges
Price: $49.99
Average Rating: 4.38
Number of Lectures: 27
Number of Published Lectures: 27
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 27
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will 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 Should Attend
- Beginning, Intermediate, and Advanced users of Pandas looking for challenging exercises covering a wide variety of data analysis topics.
Target Audiences
- Beginning, Intermediate, and Advanced users of Pandas looking for challenging exercises covering a wide variety of data analysis topics.
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 Data 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?
Course Curriculum
Chapter 1: Introduction
Lecture 1: Pandas Challenges Introduction
Lecture 2: Getting Started with the Challenges
Chapter 2: Challenges
Lecture 1: Dunder Data Pandas Challenge #1
Lecture 2: Dunder Data Pandas Challenge #2
Lecture 3: Dunder Data Pandas Challenge #3
Lecture 4: Dunder Data Pandas Challenge #4
Lecture 5: Dunder Data Pandas Challenge #5
Lecture 6: Dunder Data Pandas Challenge #6
Lecture 7: Dunder Data Pandas Challenge #7
Lecture 8: Dunder Data Pandas Challenge #8
Lecture 9: Dunder Data Pandas Challenge #9
Lecture 10: Dunder Data Pandas Challenge #10
Lecture 11: Dunder Data Pandas Challenge #11
Lecture 12: Dunder Data Pandas Challenge #12
Lecture 13: Dunder Data Pandas Challenge #13
Lecture 14: Dunder Data Pandas Challenge #14
Lecture 15: Dunder Data Pandas Challenge #15
Lecture 16: Dunder Data Pandas Challenge #16
Lecture 17: Dunder Data Pandas Challenge #17
Lecture 18: Dunder Data Pandas Challenge #18
Lecture 19: Dunder Data Pandas Challenge #19
Lecture 20: Dunder Data Pandas Challenge #20
Lecture 21: Dunder Data Pandas Challenge #21
Lecture 22: Dunder Data Pandas Challenge #22
Lecture 23: Dunder Data Pandas Challenge #23
Lecture 24: Dunder Data Pandas Challenge #24
Lecture 25: Dunder Data Pandas Challenge #25
Instructors
-
Ted Petrou
Author of Pandas Cookbook, Founder of Dunder Data
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 0 votes
- 4 stars: 3 votes
- 5 stars: 1 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
You may also like
- Top 10 Video Editing Courses to Learn in November 2024
- Top 10 Music Production Courses to Learn in November 2024
- Top 10 Animation Courses to Learn in November 2024
- Top 10 Digital Illustration Courses to Learn in November 2024
- Top 10 Renewable Energy Courses to Learn in November 2024
- Top 10 Sustainable Living Courses to Learn in November 2024
- Top 10 Ethical AI Courses to Learn in November 2024
- Top 10 Cybersecurity Fundamentals Courses to Learn in November 2024
- Top 10 Smart Home Technology Courses to Learn in November 2024
- Top 10 Holistic Health Courses to Learn in November 2024
- Top 10 Nutrition And Diet Planning Courses to Learn in November 2024
- Top 10 Yoga Instruction Courses to Learn in November 2024
- Top 10 Stress Management Courses to Learn in November 2024
- Top 10 Mindfulness Meditation Courses to Learn in November 2024
- Top 10 Life Coaching Courses to Learn in November 2024
- Top 10 Career Development Courses to Learn in November 2024
- Top 10 Relationship Building Courses to Learn in November 2024
- Top 10 Parenting Skills Courses to Learn in November 2024
- Top 10 Home Improvement Courses to Learn in November 2024
- Top 10 Gardening Courses to Learn in November 2024