Data Science — Advanced
- Advanced
- 8 months, 5–8 hrs/week
40 USDper month
You can build and evaluate a model. Now take on the harder problems of the job: forecasting, text data and LLMs, data too big for one laptop, models running in production, and the SQL rounds and case studies interviews ask for.
- Forecasting
- Gradient boosting
- BigQuery
- Model deployment
Phase 1
Advanced modelling
Gradient boosting, time-series forecasting, and text with embeddings and LLMs.
Phase 2
Data at scale
A cloud data warehouse, scheduled pipelines, and a model served behind an API.
Phase 3
Case studies & interviews
Business cases, SQL and statistics rounds, and take-home projects.
Phase 4
Capstone
An end-to-end project on real data: pipeline, model, and a readout for leaders.