Educational course in Big Data

Educational institutions

School 21 of Sber & Tomsk State University

Duration

4,5 months

Learning

1. Use Python and his libraries (Pandas, NumPy, Sci-kit Learn, Matplotlib) for collection, preprocessing and visualization data in accordance with delivered goals and objectives;
2. Build ML models and evaluate their quality forecasts;
3. Interact with external services via REST API;
4. Make requests to databases in language SQL;
5. Conduct A/B testing for hypothesis testing.

Some training projects performed

1. Processing Big Data;
2. SQLite3 Interactions;
3. A/B Testing and Correlation Analysis;
4. Natural Language Processing;
5. Recommendation System.