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Data Analytics

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.

Details

Academic Plan Code: 
5884
Award: 
Certificate of Completion (CCL)
Total credits required: 
18
Award notes

Students must earn a grade of C or better in all courses within the program.
Effective Spring 2019, the Computer Information System (CIS) courses required by this program are not applicable if taken more than eight (8) years prior to the completion of the program of study. Consult with an Academic Advisor for complete information.

Admission criteria

Students must have satisfactory score on the District math placement test.

Required courses
Course #Course TitleCredits
Credits:18
CIS114DEExcel Spreadsheet3
CIS117DMMicrosoft Access: Database Management3
CIS214DEAdvanced Excel Spreadsheet: Level II3
 
CIS217AMAdvanced Microsoft Access: Database Management (3) OR
CIS276++Any Database Management Systems courses (3)3
 
GBS151Introduction to Business3
 
GBS220Quantitative Methods in Business (3) OR
GBS221Business Statistics (3)3
Competencies
  • Use a computer spreadsheet program to create, store, modify, and print electronic spreadsheets. (CIS114DE, CIS214DE)
  • Demonstrate the skills needed to set up, maintain, and use a database management program. (CIS117DM)
  • Design and create database structures to store, retrieve, update, and display data in a relational database using SQL. (CIS217AM, CIS276++)
  • Identify the fundamental characteristics and functions of modern business, including business principles, marketing, labor relations, and business risk. (GBS151)
  • Solve probability applications. (GBS220)
  • Distinguish between continuous and discrete variables. (GBS220)
  • Find probabilities for normal random variables by using the standard normal distribution. (GBS220)
  • Describe the normal distribution and its characteristics. (GBS220)
  • Calculate and interpret the measures of central tendency for either raw or grouped data. (GBS221)
  • Use statistical inference techniques and confidence levels for decision making when testing hypotheses. (GBS221)
  • Use regression and correlation analysis, and interpret the results of the analysis. (GBS221)

At Maricopa, we strive to provide you with accurate and current information about our degree and certificate offerings. Due to the dynamic nature of the curriculum process, course and program information is subject to change. As a result, the course list associated with this degree or certificate on this site does not represent a contract, nor does it guarantee course availability. If you are interested in pursuing this degree or certificate, we encourage you to meet with an advisor to discuss the requirements at your college for the appropriate catalog year.