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Python for Finance: Beta and Capital Asset Pricing Model
Coursera Project Network

Python for Finance: Beta and Capital Asset Pricing Model

Ryan Ahmed

Instructor: Ryan Ahmed

2,953 already enrolled

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Learn, practice, and apply job-ready skills with expert guidance
4.5

(44 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
4.5

(44 reviews)

Beginner level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Understand the theory and intuition behind the Capital Asset Pricing Model (CAPM)

  • Calculate Beta and expected returns of securities in python

  • Perform interactive data visualization using Plotly Express

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. Understand the intuition behind Beta and the Capital Asset Pricing Model (CAPM)

  2. Import datasets, libraries and perform exploratory data analysis

  3. Perform Data Scaling/Normalization

  4. Perform interactive data visualization

  5. Develop a function to calculate daily returns

  6. Calculate beta for individual security

  7. Apply CAPM to individual Security

  8. Calculate Beta for the entire stocks in the portfolio

Recommended experience

Basic python programming and mathematics.

6 project images

Instructor

Instructor ratings
4.9 (8 ratings)
Ryan Ahmed
Coursera Project Network
38 Courses84,100 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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