Coursera Project Network
Concepts in Python: Loops, Functions and Returns
Coursera Project Network

Concepts in Python: Loops, Functions and Returns

Emma Martin

Instructor: Emma Martin

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Guided Project
Learn, practice, and apply job-ready skills with expert guidance
4.7

(107 reviews)

Beginner level

Recommended experience

1 hr 30 mins
Learn at your own pace
Hands-on learning
Guided Project
Learn, practice, and apply job-ready skills with expert guidance
4.7

(107 reviews)

Beginner level

Recommended experience

1 hr 30 mins
Learn at your own pace
Hands-on learning

What you'll learn

  • Demonstrate different loops in Python.

  • Develop functions in Python.

  • Demonstrate an understanding of returns in Python.

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. Demonstrate a while loop.

  2. Create a for and else loop.

  3. Implement loop control statements.

  4. Create a nested loop.

  5. Create and demonstrate Python functions.

  6. Develop return statements with one value and multiple values

Recommended experience

This guided project is for beginners who have a basic understanding of python code, and want to take this learning to the next level.

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Instructor

Emma Martin
Coursera Project Network
8 Courses26,255 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

Showing 3 of 107

4.7

107 reviews

  • 5 stars

    72.89%

  • 4 stars

    24.29%

  • 3 stars

    1.86%

  • 2 stars

    0.93%

  • 1 star

    0%

MP
4

Reviewed on Jan 30, 2022

HS
4

Reviewed on Oct 3, 2020

HH
5

Reviewed on Jan 7, 2022

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