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Introductory special topics in computing covering current subjects for various disciplines.

Offering recorded · Spring 2027 · Sources

An introduction to the principles and practices of managing and exploring different kinds of data. Work with both relational databases and Not only SQL (NoSQL) databases to organize and analyze structured, semi-structured, and unstructured data. Write basic queries, forecast time-series data, and evaluate data quality and patterns through exploratory data analysis. Explore data cleaning techniques such as interpolation and imputation, to address missing or inconsistent values. Apply data engineering techniques, including data pipelines, data warehouses, and processes for moving and transforming data using Extract-Transform-Load (ETL) and Extract-Load-Transform (ELT). Learn how modern language models can be adapted using contextual information from custom datasets and strengthened with techniques that incorporate external knowledge sources.

Offering recorded · Spring 2027 · Sources