Datons Stories
Data Stories
Live Python programming sessions analyzing real-world data from EIA, FRED, and other sources.
Episodes
Datons Stories #8 - FRED | Inflation vs Unemployment | Phillips Curve Linear Regression
Live session where we explore the Phillips Curve relationship between inflation and unemployment using FRED data and linear regression.
Datons Stories #7 - Stock Market | Preprocess and analyze stock returns
Live session where we preprocess and analyze stock returns data for financial analysis and modeling.
Datons Stories #6 - Alpaca API | Execute investment strategies in real time automatically
Live session where we connect to Alpaca's trading API to execute automated investment strategies in real time.
Datons Stories #5 - Backtesting.py | Backtesting investment strategies with Python
Live session where we use the Backtesting.py library to test and validate investment strategies with historical data.
Datons Stories #4 - Stock Market | Machine Learning to predict if stock goes up or down tomorrow
Live session where we apply machine learning techniques to predict stock market direction using historical data.
Datons Stories #3 - Dashboard from EIA API | Develop a web app to interact with US energy data
Live session where we build an interactive dashboard web app using EIA API data for exploring US energy statistics.
Datons Stories #2 - EIA API | Processing and visualizing US energy data
Live session where we explore the US Energy Information Administration (EIA) API to process and visualize energy data.
Datons Stories #1 - Time Series | Automated reports with Python using Pandas library
Live session where we build automated reports using Python and Pandas library for time series analysis.
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