Montgomery College 2017-2018 Catalog 
    
    Mar 29, 2024  
Montgomery College 2017-2018 Catalog [ARCHIVED CATALOG]

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DATA 201 - Statistical Methods in Data Science


Statistical concepts and applications related to data science including advanced exploratory data analysis, nonparametric inference and simulation for larger datasets, logistic regression modeling, statistical programming, and basics of machine learning. PREREQUISITE(S): A grade of C or better in DATA 101  or consent of department. Three hours each week.

3 semester hours

Course Outcomes:
Upon course completion, students will be able to:

  • Select appropriate existing analytical and presentational tools for specific analyses of large databases.
  • Develop new and appropriate analytical and presentational tools for specific analyses of large databases through programming.
  • Demonstrate a competency with data science practices that allows for reproducible results.
  • Summarize findings based on complex analyses in a concise way for a general audience using multivariate graphics and statistical measures.


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