Welcome to PART 2 and the Heart of this course: Analyzing Financial Data with Python and Pandas!

Pandas is powerful when it comes to managing Time Series Data like e.g. Weather Data or Stock Price Data.

In the next seven Sections, you will learn all essential Tools and Workflows required to manage and analyze Financial Data.

Part 2 covers the following Topics:

1. Handling Time Series Data in Pandas with a DatetimeIndex

2. Importing and Visualizing Historical Stock Price Data

3. Daily, monthly & annual Returns / simple returns vs. log returns

4. Calculate and annualize Risk and Return

5. Rolling Statistics

6. Create and analyze Stock Indexes

7. Create, analyze & optimize Financial Portfolios

8. Modern Portfolio Theory & Asset Pricing (alpha, beta, CAPM, Risk, etc.)

9. Crete Interactive Plots with Technical Indicators

and many more...

Have Fun!