CSTC 102 - Data Analytics

3 Credit: (2 lecture, 1 lab, 0 clinical) 3 Contact Hours:

This course prepares students to have the knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle. Students will be prepared to take the CompTIA Data+ certification exam.
Semesters Offered: spring semesters

Course Goals/ Objectives/ Competencies:
Goal 1: Explore data concepts and environments.

Identify basic concepts of data schemas and dimensions.
Differentiate between common data structures and file formats.

Goal 2: Perform data mining.

Explain data acquisition concepts.
Execute data manipulation.
Understand techniques for data manipulation.

Goal 3: Analyze data.

Apply appropriate descriptive statistical methods.
Summarize types of analysis and critical analysis techniques.

Goal 4: Design visualization of data.

Create the appropriate visualization in the form of a report or dashboard with the proper design components.

Goal 5: Explain data governance, quality, and controls.

Summarize important data governance concepts.
Apply data quality control concepts.