Python for Finance
Course Index
32 Lessons · 3 Levels
Complete Python for Finance roadmap — global stock data, Pandas, Plotly, candlestick charts, financial statements, Streamlit apps, and 5 real global finance builds.
32Lessons
3Levels
5Projects
FreeAccess
Level IPython Setup & Global Financial DataLessons 1–11
Lesson 01
Why Python for Finance?
Lesson 02
Setting Up: Jupyter, Anaconda & VS Code
Lesson 03
Python Basics for Finance Professionals
Lesson 04
Excel to Python: The Global Analyst's Switch
Lesson 05
Fetching Global Stock Data: yfinance & EODHD
Lesson 06
Alpha Vantage & Finnhub: NSE, LSE, ASX Data
Lesson 07
Working with DataFrames for Finance
Lesson 08
Cleaning & Handling Missing Financial Data
Lesson 09
Importing & Exporting: CSV, Excel & JSON
Lesson 10
Financial Time Series with pandas
Lesson 11
Resampling & Rolling Windows
Level IIGlobal Analysis & VisualizationLessons 12–24
Lesson 12
Stock Price Visualization with Matplotlib
Lesson 13
Interactive Charts with Plotly
Lesson 14
Candlestick Charts for Global Markets
Lesson 15
Calculating Returns & Performance
Lesson 16
Moving Averages & Technical Indicators
Lesson 17
Comparing Stocks Across Global Exchanges
Lesson 18
Correlation & Heatmaps
Lesson 19
Financial Statement Analysis in Python
Lesson 20
Earnings & Dividend Data Analysis
Lesson 21
Stock Screening: Global Markets with Python
Lesson 22
Sector & Index Analysis: Nifty, FTSE, DAX & More
Lesson 23
Automating Financial Reports
Lesson 24
Scheduling Automated Data Jobs
Level IIIGlobal Apps, Dashboards & ProjectsLessons 25–32
Lesson 25
Building Finance Apps with Streamlit
Lesson 26
Deploying Finance Apps to the Web
Lesson 27
Sending Alerts with Email & Telegram
Lesson 28
Build a Global Stock Price Tracker
Lesson 29
Build a Multi-Exchange Comparison Dashboard
Lesson 30
Build a Financial Statement Analyzer
Lesson 31
Build a Global Stock Screener
Lesson 32
Build an Automated Global Market Report