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 second 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 2
Mastering Data Analysis with Pandas: Learning Path Part 2
Instructor: Ryan Ahmed
Access provided by The New College (Autonomous), Chennai - 600014
3,437 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
4.8
(29 reviews)
Beginner level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Master data analysis and manipulation in Pandas and Python
Define and manipulate Pandas DataFrame
Label-based and integer-based DataFrame indexing
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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- Gain hands-on experience solving real-world job tasks
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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 to Pandas DataFrame Fundamentals
Read CSV and HTML data
Write DataFrame into CSV
Setting/Resetting Pandas Index
Select Columns from a DataFrame
Add/Delete DataFrame Columns
Label-based DataFrame Elements Selection
Integer-based DataFrame Selection
Broadcast Operations
Sorting and Ordering
Recommended experience
basic python programming
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Instructor
Offered by
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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