CIS 276 Data Analytics I (5 credits)

1. Define and explain data analysis and data science concepts
2. Install and use data analytics tools and libraries
3. Perform data collection and acquisition using query languages, spreadsheets, textfiles and web APIs (Application Programming Interfaces)
4. Explain and perform data analysis phases, including collection, extraction, cleansing and analysis of data
5. Apply and use descriptive data analytics models  
6. Apply data structures such as lists, tuples, dictionaries, list comprehension and slices, and multi-dimensional arrays
7. Use source control and repository management (Git, GitHub)

1. Creative and Reflective Thinking: Graduates will evaluate, analyze, synthesize, and generate ideas; construct informed, meaningful, and justifiable conclusions; and process feelings, beliefs, biases, strengths, and weaknesses as they relate to their thinking, decisions, and creations.
2. Information Competency: Graduates will be able to seek, find, evaluate and use information, and employ information technology to engage in lifelong learning.

Program Outcomes

1. Research, analyze and integrate information to learn current technologies. 
2. Create and model end-user data visualizations
3. Collect, analyze, integrate and query data from disparate sources
4. Develop data analytics applications using descriptive and predictive models