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Stop 14 · Build Your Data Science PortfolioProjects · 4/7

Time Series Forecasting Project

Part of the Data Science Roadmap

In short

Apply Phase 11's forecasting skills to a real business-relevant time series, with a clear evaluation of forecast accuracy and honest communication of uncertainty.

How to learn this

  1. 1Choose a time series with a real forecasting use case (sales, demand, traffic).
  2. 2Compare at least two modeling approaches (e.g. ARIMA and Prophet) and justify your final choice.
  3. 3Present the forecast with a confidence range, not just a single predicted line.

More projects at this stop

End-to-End ML Project (Problem to Deployment)Kaggle Competition SubmissionNLP Project (Sentiment / Text Classification)Computer Vision ProjectBusiness Case Study With ML RecommendationPortfolio Website / GitHub Showcase

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