What you’ll learn
- Set up a Python coding environment
- Download stock, forex, futures, or crypto data directly from Python
- Clean and organize your table of financial data using Python
- Add new columns of data to your table
- Analyze financial data with built-in Python functions and methods
- Code various financial indicators, including Bollinger Bands and Fibonacci Retracement Levels
- Explore the basics of financial data visualization using the Matplotlib and Plotly libraries
Jesse Anderson is a technical communicator and data enthusiast from Seattle. He holds various technical certifications, including CompTIA’s Data+, Network+, and Security+. He also holds a certificate in Professional Technical Communication from the University of Wisconsin Eau-Claire. He is currently pursuing a Master’s degree in Data Analytics with a concentration in Data Science.
Jesse is passionate about exploring new methods of education and technical communication that enhance student engagement.