In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source data analysis and manipulation tool. This guided project is the first of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas.



Mastering Data Analysis with Pandas

Instructor: Ryan Ahmed
Access provided by Halytskyi College
11,197 already enrolled
(173 reviews)
Recommended experience
What you'll learn
- Master data analysis and manipulation in Pandas and Python 
- Define and manipulate Pandas Series 
- Master Pandas Attributes, methods and math operations 
Skills you'll practice
Details to know

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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
- Introduction and Pandas Series Fundamentals 
- Define a Pandas Series with Custom Index 
- Define a Pandas Series from a Dictionary 
- Pandas Attributes 
- Pandas Methods 
- Import One Dimensional CSV Data 
- Pandas Built-in Functions 
- Sorting Pandas Series 
- Perform Math Operations on Pandas Series 
- Check if a Given Element Exists in a Pandas Series 
Recommended experience
basic python programming
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How you'll learn
- Skill-based, hands-on learning - Practice new skills by completing job-related tasks. 
- Expert guidance - Follow along with pre-recorded videos from experts using a unique side-by-side interface. 
- No downloads or installation required - Access the tools and resources you need in a pre-configured cloud workspace. 
- Available only on desktop - This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices. 
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Learner reviews
173 reviews
- 5 stars73.98% 
- 4 stars19.07% 
- 3 stars2.31% 
- 2 stars0.57% 
- 1 star4.04% 
Showing 3 of 173
Reviewed on Sep 16, 2022
It was good to clear the basics. Please create advanced also
Reviewed on Mar 18, 2025
It was very helpful project for me as beginner in pandas
Reviewed on Nov 13, 2022
A solid introduction to Pandas with some explanation of basic Python.
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