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Master of Data Science Master of Data Science
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DSC 259R Practice and Applications

Course Information

Course Type

Elective

Course Description

(Prereq. DSC 255R)

Building large-scale, working systems on real world data. Steps of the data science life-cycle. How to properly collect and clean data, build and test models. Topics include: Pandas, messy data, hypothesis and permutation testing, missingness and imputation, machine learning, model evaluation and communication.

 

Course Instructor(s)

  • Sam Lau

    Sam Lau

    Area(s) of Expertise
    • Programming education
    • Data science education
    • Data Visualization
    • Human-Centered Design
    • Human-computer interaction
    Contact Info