M1 AI Data Acquisition Processing and Mining for AI

Teaches the tools for data processing an preparation upstream from AI models and tools.

1. Basic Python for data science (DataFrames, CSV/JSON, Numpy array, Pandas)
2. Data acquisition: advanced SQL (join for dataset construction, sampling via SQL), Web APIs (REST, OAuth, etc.), scraping
3. Data cleaning and transformation: missing data imputation, outlier detection, data leakage
4. Data mining: association rules / frequent items, clustering, EDA/visualization for data cleaning/processing