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 fourth 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: Learning Path Part 4
Mastering Data Analysis with Pandas: Learning Path Part 4
Instructor: Ryan Ahmed
Access provided by CMR University
2,419 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
4.8
(18 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Master data analysis, Group by, and multi-indexing in Pandas and Python
Define and manipulate Pandas DataFrames
Mastering date and time operations in Pandas
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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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:
Import and Explore Dataset
Groupby
Create Multi-Indexed DataFrame
Multi-Indexing Operations - Part 1
Multi-Indexing Operations - Part 2
Dealing with DateTime Module
Handling Date and Time in Pandas
Recommended experience
Basic Python Programming
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Instructor
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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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4.8
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DG
5
Reviewed on Jun 8, 2022
Loved this series of guided projects. Really helped me to understand Pandas better.
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