CIS 2267 Advanced Python for Data Analytics

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

Prerequisites: CIS 2266

Course Outcomes

• Analyze data using Pythons tools perform cluster analysis and PCA.
• Analyze data using Pythons tools to classify and predict outcomes.
• Present the findings.
• Identify data sources including big data and cleanse the data using Python tools.
• Use GitHub for storage, version control, and collaboration.

Credit Hours: 3

• Classroom: 3 hours

• Division: Business and Public Services
• Department: Computer Science and Information Technology

• Repeatable Credit: No
• Offered Online: No