Analytics Engineering

3.00 points · University catalogue

Introduction to the foundations and applications of Analytics Engineering, bridging Data Engineering and Data Analysis. Potential topics include SQL fundamentals, data warehouse setup and maintenance (Snowflake), version control with GitHub, data ingestion and integration (Fivetran), data cleaning and transformations (dbt), data visualization (Preset), and orchestrating modern data architectures. Emphasizes both theoretical understanding and hands-on practice, giving students practical experience building, managing, and analyzing data pipelines and models in real-world scenarios