everything.study
MAST 387

Data Science Lab

3 credits · Undergraduate

Fall 2026

Topics

  • Python fundamentals, NumPy and Pandas
  • Data cleaning, preparation and wrangling
  • Summary statistics and exploratory visualization
  • Dimension reduction and interpretation
  • Database creation and management
  • Time-series, text, image, video and network data
  • Introductory machine learning for data analysis
  • Applications to real datasets

Readings

  • Reference (not explicitly required): W. McKinney. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter, 3rd edition. O’Reilly, 2022.
    Listed reading
  • Reference (not explicitly required): J. Grus. Data Science from Scratch: First Principles with Python, 2nd edition. O’Reilly, 2019.
    Listed reading
  • Reference (not explicitly required): C. D. Larose and D. T. Larose. Data Science Using Python and R. Wiley, 2019.
    Listed reading
Fall 2025 · MAST 387

Readings

  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter, by W. McKinney, O’Reilly Media, 3rd Edition, 2022.
    Listed reading; requirement unspecified
  • Data Science from Scratch: First Principles with Python, by J. Grus, O’Reilly Media, 2nd Edition, 2019.
    Listed reading; requirement unspecified
  • Data Science Using Python and R, by C.D. Larose and D.T. Larose, John Wiley and Sons, 2019.
    Listed reading; requirement unspecified
Fall 2024 · MAST 387

Readings

  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter, by W. McKinney, O’Reilly Media, 3rd Edition, 2022.
    Listed reading; requirement unspecified
  • Data Science from Scratch: First Principles with Python, by J. Grus, O’Reilly Media, 2nd Edition, 2019.
    Listed reading; requirement unspecified
  • Data Science Using Python and R, by C.D. Larose and D.T. Larose, John Wiley and Sons, 2019.
    Listed reading; requirement unspecified
Winter 2024 · MAST 387

Readings

  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter, by W. McKinney, O’Reilly Media, 3rd Edition, 2022.
    Listed reading; requirement unspecified
  • Data Science from Scratch: First Principles with Python, by J. Grus, O’Reilly Media, 2nd Edition, 2019.
    Listed reading; requirement unspecified
  • A Hands-On Introduction to Data Science, by C. Shah, Cambridge University Press, 2020.
    Listed reading; requirement unspecified
  • Data Science Using Python and R, by C.D. Larose and D.T. Larose, John Wiley and Sons, 2019.
    Listed reading; requirement unspecified
Sources