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COMP 333

Data Analytics

4 credits · Undergraduate

Winter 2023

Topics

  • Data analytics workflow
  • Extract-transform-load
  • Data cleaning
  • Data structuring
  • Data integration
  • Descriptive and prescriptive analytics
  • Modeling
  • Simulation
  • Optimization
  • Data storytelling
  • Python libraries
  • Jupyter notebooks

Readings

  • Wes McKinney, Python for Data Analysis: Data Wrangling with pandas, NumPy, and IPython, 2nd ed., O’Reilly, 2017; open-access 3rd edition also linked.
    Recommended / optional / reference
Sources