Data Science & Machine Learning Program

Part of the Data & ML Career Path

Statistics and ML fundamentals, grounded in real datasets, all the way to a shipped model.

Projects in this path

• Forecasting Model

  A time-series model that predicts demand from historical data.

  Python · Pandas · scikit-learn

• Recommendation Engine

  A recommender that ranks items from user behavior.

  Python · Embeddings · Postgres

• ML Pipeline

  An end-to-end pipeline from raw data to a served model.

  Python · Airflow · Docker

Curriculum stages

1. 01 Foundations

   Python and data manipulation with Pandas.

   Python · Pandas · 6 lessons

2. 02 Modeling

   Classical machine learning with scikit-learn.

   scikit-learn · 5 lessons

3. 03 Data

   Query and structure data with SQL.

   SQL · 4 lessons

4. 04 Pipelines

   Orchestrate data workflows with Airflow.

   Airflow · 4 lessons

5. 05 Shipping

   Serve a trained model from a container.

   Docker · 3 lessons