DIT 635 Data and Business Analytics *

This course will focus on the critical elements of data analysis techniques at scale in the context of real-world business domains. For facilitating data manipulation and analysis, students will be introduced to essential programming techniques used in data science. Topics include data structures from a data science perspective, data gathering, data cleaning, data exploration, data analysis, and data visualization techniques. This class will allow IT leaders to apply the concepts and techniques to real-world business cases.

Credits

3

Prerequisite

Prerequisite or concurrent enrollment: DIT 600.

Outcomes

1. This course will prepare students to:
2. 1. Apply data analysis concepts and techniques on data from a variety of business domains.
3. 2. Apply data acquisition techniques according to the features of data sources and applications.
4. 3. Analyze the steps involved in the data analytics process.
5. 4. Evaluate the best practices of data reduction and data cleaning based on the requirement of applications and data semantics.
6. 5. Evaluate effectiveness of interfaces for a variety of tasks and a variety of purposes and users.
7. 6. Create an effective approach to visualization on a set of data used for a particular purpose.