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Python for Data Analysis: Pandas & NumPy

Ryan Ahmed

Instructor: Ryan Ahmed

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Learn, practice, and apply job-ready skills with expert guidance
4.4

(292 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
4.4

(292 reviews)

Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Understand python programming fundamentals for data analysis

  • Define single and multi-dimensional NumPy arrays

  • Import HTML data in Pandas DataFrames

Details to know

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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:

  1. Task #1: define single and multi-dimensional NumPy arrays

  2. Task #2: leverage NumPy built-in methods and functions

  3. Task #3: perform mathematical operations in NumPy

  4. Task #4: perform arrays slicing and indexing

  5. Task #5: perform elements selection (conditional)

  6. Task #6: understand pandas fundamentals

  7. Task #7: pandas with csv and html data

  8. Task #8: pandas operations

  9. Task #9: pandas with functions

  10. Task #10: perform sorting and ordering in pandas

Recommended experience

Basic python programming and mathematics.

3 project images

Instructor

Instructor ratings
4.0 (24 ratings)
Ryan Ahmed
Coursera Project Network
38 Courses86,525 learners

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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

4.4

292 reviews

  • 5 stars

    65.76%

  • 4 stars

    21.69%

  • 3 stars

    7.11%

  • 2 stars

    2.03%

  • 1 star

    3.38%

Showing 3 of 292

VL
4

Reviewed on Aug 27, 2021

SK
5

Reviewed on Jul 14, 2021

TA
4

Reviewed on Mar 15, 2023

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