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Manage Finance Data with Python & Pandas: Unique Masterclass

Analyze Stocks with Pandas, Numpy, Seaborn & ChatGPT. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta)

4.7 ★★★★★12,812 studentsCreated by Alexander HagmannLast updated Oct 15, 2025🌐 English

What you'll learn

✓Step into the Financial Analyst role and give advice on a client´s financial Portfolio (Final Project)

✓Import large Financial Datasets / historical Prices from Web Sources and analyze, aggregate and visualize them

✓Calculate Return, Risk, Correlation and Rolling Statistics for Stocks, Indexes and Portfolios

✓Create, analyze and optimize financial Portfolios and understand the use of the Sharpe Ratio

✓Intuitively understand Modern Portfolio Theory (CAPM, Beta, Alpha, CML, SML, Risk Diversification) with Real Data examples

✓Create Interactive Price Charts with Technical Indicators (Volume, OHLC, Candlestick, SMA etc.)

✓Create Financial Indexes (price-, equal- and value- weighted) and understand the difference between Price Return and Total Return

✓Easily switch between daily, weekly, monthly and annual returns and understand the benefits of log returns

✓Start from Zero and learn all the Basics of the powerful Pandas Library

Requirements

•No specific Finance knowledge needed! The course intuitively explains the major fundamentals of Finance and Portfolio Theorie based on data examples.

•Ideally some Spreadsheet Basics/Programming Basics (not mandatory, the course guides you through the basics)

•A desktop computer (Windows, Mac, or Linux) capable of storing and running Anaconda. The course will walk you through installing the necessary free software.

•An internet connection capable of streaming videos

•Some high school level math skills would be great (not mandatory, but it helps)