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Mastering Data Analysis with Pandas: Learning Path Part 2

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Mastering Data Analysis with Pandas: Learning Path Part 2

Ryan Ahmed

Instructor: Ryan Ahmed

2,959 already enrolled

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
4.8

(26 reviews)

Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
4.8

(26 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

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • 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:

  1. Introduction to Pandas DataFrame Fundamentals

  2. Read CSV and HTML data

  3. Write DataFrame into CSV

  4. Setting/Resetting Pandas Index

  5. Select Columns from a DataFrame

  6. Add/Delete DataFrame Columns

  7. Label-based DataFrame Elements Selection

  8. Integer-based DataFrame Selection

  9. Broadcast Operations

  10. Sorting and Ordering

Recommended experience

basic python programming

10 project images

Instructor

Ryan Ahmed
Coursera Project Network
38 Courses84,912 learners

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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