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2026 - 2027 Catalog Year
Data Literacy Foundation (Full-time)

Degree: Certificate
Division: Business and Public Services

This Sample Program Pathway is designed to provide an example of course selections in a term by term sequence. Please see an Academic Advisor for a plan specific to your academic needs.

Fall Semester (First Year)
Hours
 

Prerequisites: MAT 0200 or MAT 1120

Notes: Fall only.

Prerequisites: MAT 0200 or MAT 1120

Prerequisites: MAT 0200

 

Term hours subtotal:

12

Spring Semester (First Year)
Elective course signified by
Hours
 

Description: An introductory course in data science for students interested in information technology, computer science, and related fields. Topics include curation of data; enhanced data visualization; statistical models, estimation, and prediction; and applications of data science.

Notes: Not offered Summer term.

Prerequisites: MAT 0300 and Other (with a grade of "C" or better)

Description: Introduction to computer networking. Topics include network standards and the Open Source Interconnection (OSI) model, topologies and Ethernet standards, network hardware, remote connectivity, wireless networking, in-depth TCP/IP, network security, network troubleshooting and network management.

Description: Use word processing, spreadsheet, database and presentation software applications to create reports, spreadsheets, databases and presentations for business and other applications.

Description: Introduction to database management system in a client/server environment. The course covers Structured Query Language (SQL) and development and administrative tools. Students are taught to create and maintain database objects and to store, retrieve, and manipulate data, and create blocks of application code that can be shared by multiple forms, reports, and data management applications.

Prerequisites: CSC 2165

 

Term hours subtotal:

14

Fall Semester (Second Year)
Important message signified by
Hours
 

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

Notes: Fall only.

Prerequisites: CSC 2266

Description: Students will learn techniques to properly manage large and multi-sheet spreadsheets, use spreadsheets to arrange and manage data, develop advanced spreadsheet formulas and functions, perform "What-If" analysis using spreadsheet tools and design and create end-user spreadsheet applications.

Prerequisites: BIS 1120 or BIS 1221

 

Term hours subtotal:

6

This information is for planning purposes only. Sinclair College will make every effort to offer curriculum listed above but reserves the right to change, add and cancel curriculum offerings for unforeseen circumstances. View current catalog.