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Sinclair College

CIS 2267 Advanced Python for Data Analytics

Students will learn how to obtain, cleanse, and prepare data, use supervised models to predict and categorize data, and present their findings.

Prerequisites: CIS 2266

Course Outcomes
  • Use internet searching tools to find data, evaluate its quality and authority, consider legal and ethical uses of the data, and properly cite data sources.
  • Download or otherwise capture data sources and clean and prepare the data using Python tools.
  • Use Python tools to analyze data, identify trends and outliers, create visualizations, and draw inferences about the analysis results.
  • Use Python tools to perform regression analysis to identify trends and make predictions.
  • Identify, select, and use Python libraries to accomplish data analysis tasks.
Credit Hours: 3
  • Classroom: 3 hours
  • Division: Business and Public Services
  • Department: Computer Science and Information Technology
  • Repeatable Credit: No
  • Offered Online: No
Available Sections
Not currently offered this term