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Center for Curriculum and Transfer Articulation Not Found
Major: 5884
Effective Term: 2017 Fall   

Award: CCL  
Total Credits: 18
CIP Code: 52.1301

Instructional Council: Computer Information Systems (12)
GPA: 2.00
SOC Code: 15-2031


Description: The Certificate of Completion (CCL) in Data Analytics program is designed to prepare students to model, synthesize, analyze, and present large data sets for business decision making. Courses will focus on the techniques and computer software used in industry to extract data from various data sources, model and integrate that data, and then visualize this data for business decision making and intelligence gathering.

Consumer Program Costs and Career Information

Suggested Course Plan Sequenced by Semester



Required Courses
CIS105 Survey of Computer Information Systems (3) OR
CIS114DE Excel Spreadsheet (3) 3

CIS117DM Microsoft Access: Database Management 3
+ CIS214DE Advanced Excel Spreadsheet: Level II 3

+ CIS217AM Advanced Microsoft Access: Database Management (3) OR
+ CIS276++ Any Database Management Systems courses (3) 3

GBS151 Introduction to Business 3

+ GBS220 Quantitative Methods in Business (3) OR
+ GBS221 Business Statistics (3) 3
Credits: 18

Program Competencies
1. Demonstrate a working knowledge of computer information systems, fundamental computer concepts, and programming techniques. (CIS105)
2. Use a computer spreadsheet program to create, store, modify, and print electronic spreadsheets. (CIS114DE, CIS214DE)
3. Demonstrate the skills needed to set up, maintain, and use a database management program. (CIS117DM)
4. Design and create database structures to store, retrieve, update, and display data in a relational database using SQL. (CIS217AM, CIS276++)
5. Identify the fundamental characteristics and functions of modern business, including business principles, marketing, labor relations, and business risk. (GBS151)
6. Solve probability applications. (GBS220)
7. Distinguish between continuous and discrete variables. (GBS220)
8. Find probabilities for normal random variables by using the standard normal distribution. (GBS220)
9. Describe the normal distribution and its characteristics. (GBS220)
10. Calculate and interpret the measures of central tendency for either raw or grouped data. (GBS221)
11. Use statistical inference techniques and confidence levels for decision making when testing hypotheses. (GBS221)
12. Use regression and correlation analysis, and interpret the results of the analysis. (GBS221)
+ indicates course has prerequisites and/or corequisites.
++ indicates that any suffixed course may be selected.
MCCCD Governing Board Approval Date: May 23, 2017

All information published is subject to change without notice. Every effort has been made to ensure the accuracy of information presented, but based on the dynamic nature of the curricular process, course and program information is subject to change in order to reflect the most current information available.





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