Skip Navigation

Data Analytics for Business

Overview

Highly successful businesses have shown that strategic business decisions need to be driven by data analyses. The ability to gather information from data is an in-demand skill that is valuable in any industry. This is why data analytics is among the fastest-growing professions today. Data analysis requires more than relying on reports and statistical analysis. It requires a balance of technical skills and analytical abilities to determine clear, actionable business solutions.

This certificate program covers a wide array of topics; students will learn the fundamental concepts behind collecting, storing, and analyzing data. Through descriptive, predictive, and prescriptive analytics, students will also learn how to utilize analytic tools and models to reliably forecast trends and behaviors, effectively utilize visualization tools, and create effective strategies.

Who Should Enroll

The Data Analytics for Business Certificate is a comprehensive program designed for working adults within a wide range of professional backgrounds to develop the skills they need to succeed in this exciting, high-growth field. Learn how to better understand organizational data and business processes in ways that drive results. Specific job titles that would benefit from this program include Business and Data Analysts, Marketing, Sales, Operations, and those professionals looking to broaden their skills.

Career Insight

Occupational summary for operations management analysts in the United States. Source: Economic Modeling Specialists Intl.

713,451
Annual Job Openings
(2019)
13.6%
Projected Growth
(2019-2029)
$83k
Median Salary
(Highly experienced workers can earn up to $152k)

Program Benefits

  • Define appropriate business goals for implementing better data-driven decisions.
  • Develop actionable plans from existing corporate data and initiatives to evaluate the effectiveness of current strategies
  • Create and explain data visualizations to support data understanding.
  • Perform data analysis on various data sets using industry-standard tools.
  • Utilize a variety of analytics techniques for model training and validation.
  • Collect, select, describe, profile, and prepare data from various sources for analysis.
  • Explain the differences between descriptive, predictive, and prescriptive analytics and how each fits into the data analytics workflow.
  • Develop plans to deploy analytics models, including monitoring, maintenance, and formal review of the project.
  • Create decision plans to optimize business processes, mitigate risks, and guide decision making.
  • Communicate model and analytics results to all levels of management.

Course Schedule

Required Courses

TitleWinterSpringSummerFall
I&C SCI X425.90
to be scheduled      
I&C SCI X425.91
  to be scheduled    
I&C SCI X425.92
  to be scheduled    
I&C SCI X425.93
       
I&C SCI X425.94
    to be scheduled  

Elective Courses

TitleWinterSpringSummerFall
Data Analytics for Business
I&C SCI X427.01
Business Intelligence & The Data Warehouse Development Process (2.50 Units)
I&C SCI X427.01
to be scheduled     Online
I&C SCI X426.64
Introduction to Python Programming (2.00 Units)
I&C SCI X426.64
to be scheduled to be scheduled Online Online
I&C SCI X450.72
Introduction to SQL Programming (2.50 Units)
I&C SCI X450.72
  to be scheduled to be scheduled Online
I&C SCI X425.99
Practical Math & Statistics for Data Science (2.50 Units)
I&C SCI X425.99
to be scheduled to be scheduled to be scheduled Online

Course schedules are subject to change. Individual courses may be taken without enrolling in the full program.

Receive Customized Training for your Employees
×

Academic Calendar

Event Summer 2020 Fall 2020 Winter 2021 Spring 2021
Registration Begins (after 2pm) Apr 24 Jul 16 Oct 22 Jan 21
Courses Begin* (week of) Jun 22 Sep 21 Jan 4 Mar 29
Courses End* (week of) Sep 7 Dec 14 Mar 15 Jun 7
Parking Permits Expire Sep 30 Dec 31 Mar 31 Jun 30
Administrative Holidays Jul 3, Sep 7 Nov 11, Nov 26-27, Dec 24-25, Dec 31 Jan 1, Jan 18, Feb 15 Mar 26, May 31

*Actual dates may vary by program.

×
Learn How To Earn Your Certificate

Certificate Eligibility and Requirements

A certificate is awarded upon completion of 13 credit units (11.5 required and 1.5 elective credit units) with a grade of “C” or higher in each course. Some courses may be listed as electives in multiple certificates, students may use a maximum of two courses to fulfill a certificate requirement between two programs.

To become an official candidate in the program, students pursuing the certificate must submit a Declaration of Candidacy with a non-refundable $125 application fee. Students are encouraged to declare candidacy as soon as possible, but no later than after the third course in the program. To receive the digital certificate after completing all program requirements, students must submit a Request for Certificate. All requirements must be completed within five (5) years after the student enrolls in his/her first course. Students not pursuing a certificate are welcome to take as many individual courses as they wish.

Advisory Committee

  • Dean Abbott, President, Abbott Analytics
  • Majed Al-Ghandour, Ph.D., Adjunct Professor, University of Maryland University College
  • Ian Harris, Ph.D., Associate Professor, Department of Computer Science, Donald Bren School of Information and Computer Sciences, University of California, Irvine
  • Keith McCormick, Predictive Analytics & Data Mining Consultant
  • Ash Pahwa, Ph.D., CEO, A+ Web Services
  • Eric Siegel, Ph.D., Chair, Predictive Analytics World
  • James Yang, M.S., Vice Chairman, Palazzo Tokyo Plaza

On-site Training Available

Our Corporate Training specialists can deliver this program or customize one that fits your organization’s specific needs. Visit Corporate Training or call (949) 824-1847 for information.

English Proficiency Requirement
All certificate programs at UCI Division of Continuing Education (classroom and online formats) require professional-level English language proficiency in listening and note-taking, reading comprehension and vocabulary, written expression, and oral presentation.