Curriculum
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Descriptions
MLDS 430: Data Visualization and Warehousing


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Description

The main objective of this course is to introduce students to the principles and practices of modern data visualization and data warehousing. The first half of the course focuses on visualization best practices, storytelling with data, and hands-on experience with Tableau. The second half provides a foundation in data warehousing concepts, architectures, and tools, with an emphasis on the modern data stack. Students will gain both practical and conceptual knowledge for presenting insights and managing data infrastructure.

Course outcomes: After finishing the course, students should be comfortable:

  • Applying visualization best practices & building effective dashboards in Tableau
  • Crafting compelling data stories for business & technical audiences
  • Discussing foundational DW concepts, from traditional to cloud-based systems
  • Using modern data stack components to design & implement data pipelines

Data visualization topics covered: data visualization theory, data storytelling, dashboard & presentation design and more

Data visualization tools covered: Tableau, Python (Plotly & Dash)

Data warehousing topics covered: data warehousing theory, architectures, ETL, SCD and more

Data warehousing tools covered: Snowflake, Fivetran, dbt, Airflow and more