Python for Financial Markets Analysis

Welcome to Python for Financial Markets Analysis!

Are you interested in how people use Python to conduct rigorous financial analysis and pursue algorithmic trading, then this is the right course for you!

This course will guide you through everything you need to know to use Python for analyzing financial markets data! I’ve worked for Bloomberg for 17+ years and will present the knowledge to help you in this course.

We’ll start off by learning the fundamentals of financial market data, importing large datasets and then proceed to learn about the various core libraries used in the Finance world including jupyter, numpy, pandas, matplotlib, statsmodels, yfinance, plotly, cufflinks and much more. We will use jupyter notebooks, google colabs and visual studio to write our python apps for finance.

We’ll cover the following topics:

Python Fundamentals

NumPy for High Speed Numerical Processing

Pandas for Efficient Data Analysis

Matplotlib for Data Visualization

Pandas Time Series Analysis Techniques

Statsmodels

Importing financial markets data

Working with single and multiple stocks with prices, fundamental data

Streaming real–time data prices

Create interactive financial charts with plotly, cuffllinks

Using annotation to tell the data story

Simple to advanced time series analysis

Time series analysis with indexing, filling and resampling