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Investment Analysis: Python for Finance - Part 9

Derek Banas via YouTube

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Overview

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This course uses Python and data science libraries to analyze individual stocks and portfolios. It calculates alpha, beta, CAPM expected returns, Sharpe ratio, return on investment, risk measures, and portfolio returns.

Syllabus

Intro
Merge DataFrame
Beta
Download Data
Find Beta
Capital Asset Pricing Model
Expected Return
Sharp Ratio
Portfolio Value
Daily Return
Portfolio Mask

Taught by

Derek Banas

Reviews

5.0 rating, based on 1 Class Central review

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  • GEORGETA MIRELA IORDACHE
    Investment Analysis: Python for Finance was a useful and practical course that introduced how Python can be applied to real financial problems. The course explained key concepts such as data analysis, returns, and risk in a way that was accessible even for learners with limited programming experience. The hands-on examples helped link theory to practice, particularly in understanding how financial data can be analysed and visualised using Python. At times, the pace felt slightly fast for beginners, and a few more step-by-step explanations would have been helpful. Overall, the course provided a strong foundation and increased my confidence in using Python for investment analysis.
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