Easy
Topic 1: Basic Stock Price Time Series (S&P 500)
Univariate forecasting of daily stock prices for one S&P 500 company. Perfect introduction to time series analysis.
Project topics
Time Series Analysis Topics
Choose from 15 topics spanning finance, economics, and healthcare. Harder topics carry bonus points.
Topic selection guide
- Easy Perfect for beginners. Focus on fundamental concepts. No bonus points.
- Medium Moderate complexity. Requires solid understanding. +1 bonus point for completion.
- Hard Advanced topics. +1.5 bonus points for completion.
Easy
Easy
Topic 2: Monthly Business Sales Time Series
Analyze and forecast monthly sales or revenue with clear seasonal patterns.
Easy
Topic 3: GDP Time Series for Multiple Countries
Forecast annual GDP for 1–3 countries and compare trends and growth patterns.
Medium
Topic 4: US Macroeconomic Indicators
Model and forecast key US macro indicators including unemployment, inflation, and more.
Medium
Topic 5: Single-Stock Case Study: NVIDIA (NVDA)
Univariate forecasting and volatility exploration for a high-growth tech stock.
Medium
Topic 6: Multivariate Financial Time Series Bundle
Model several assets jointly using correlations, VAR, and multivariate forecasting techniques.
Medium
Topic 7: Human Vital Signs
Analyze and forecast physiological signals including heart rate, blood pressure, and SpO2.
Medium
Topic 8: High-Resolution Vital Signs with VitalDB
Work with high-frequency ICU/OR vital signs using the VitalDB Python library.
Easy
Topic 9: Airline Passenger Time Series
Classic monthly airline passenger series with trend and seasonality using statsmodels built-in dataset.
Hard
Topic 10: EEG Analysis with MNE Sample Dataset
Use EEG time series from one or a few channels for analysis and simple modeling.
Hard
Topic 11: ECG Analysis with MIT-BIH
Work with ECG waveforms from the MIT-BIH Arrhythmia database using WFDB library.
Hard
Topic 12: Open Multidomain Time Series
Choose a series from a curated collection and design a custom forecasting/classification problem.
Medium → Hard
Topic 13: Retail Store Sales Time Series
Daily sales forecasting for multiple stores/items using Kaggle competition data (panel + time series).
Hard
Topic 14: Electricity Load Diagrams
Model and forecast electricity demand with multiple time series and rich seasonality patterns.
Easy
Topic 15: Healthcare Call Data Analysis During Emergency Times
Analyze and forecast healthcare call center data during emergency periods using time series analysis. Suitable for both traditional ARIMA/SARIMA and ML/DL methods.