INET4710: Data Science II: Big Data Analytics

4 Credits

Scales machine learning models and data analysis to a Big Data platform. Map Reduce and Spark frameworks are introduced as approaches to parallel algorithm development. Hands-on labs. Prerequisites: Basic programming knowledge (Java, Python, R). Linear algebra strongly recommended, especially matrix operations (e.g., MATH 2243, Linear Algebra and Differential Equations)

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A- Average (3.514)Most Common: A (43%)

This total also includes data from semesters with unknown instructors.

122 students
SNWFDCBA
  • 3.57

    /5

    Recommend
  • 4.33

    /5

    Effort
  • 3.92

    /5

    Understanding
  • 3.73

    /5

    Interesting
  • 4.00

    /5

    Activities


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