Resources

Course-specific links for the Stock Market Analytics Zoomcamp. For general zoomcamp logistics, see Zoomcamp Logistics.

GitHub repository

github.com/DataTalksClub/stock-markets-analytics-zoomcamp

Each module has its own folder with a README, video links, and homework. Cohort-specific homework, deadlines, and past materials are under the cohorts folder.

Video lectures

Lectures for this course are published on the PythonInvest YouTube channel, not the DataTalks.Club channel.

Launch and Q&A sessions, a good place to start:

Prep workshops

Two recorded workshops show what a good capstone or automation project looks like:

Watch both before the course starts, then fork the code and run it.

FAQ

The Stock Market Analytics Zoomcamp FAQ collects module-specific and technical questions from previous cohorts.

Slack

Questions and discussion happen in the #course-stocks-analytics-zoomcamp channel on DataTalks.Club Slack. Read Asking Questions first.

PythonInvest

The instructor writes long-read analytical articles on stock market analytics:

Tools and data sources used in the course

Google Colab - where most of the course code runs.
yfinance - free price data across many exchanges.
Alpha Vantage and polygon.io - fundamental data and news, with free tiers.
TA-Lib - technical indicators.
pandas, numpy, matplotlib, seaborn, and Plotly Express.
Streamlit and GitHub Actions - dashboards and scheduled workflows.