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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
Introduction to Analyzing Data for Business Goals (2.00 Units)
I&C SCI X425.90
  to be scheduled Online Online
I&C SCI X425.91
Descriptive Analytics: Visualization & Storytelling w/Data (2.50 Units)
I&C SCI X425.91
to be scheduled   to be scheduled  
I&C SCI X425.92
Predictive Analytics: Tools & Techniques (2.50 Units)
I&C SCI X425.92
  to be scheduled Online Online
I&C SCI X425.93
Prescriptive Analytics: Digital Decisioning (2.50 Units)
I&C SCI X425.93
to be scheduled   to be scheduled  
I&C SCI X425.94
       

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 X425.98
Data Analytics Project (2.50 Units)
I&C SCI X425.98
    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 Online Online

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

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Academic Calendar

Event Summer 2022 Fall 2022 Winter 2023 Spring 2023
Registration Begins (after 2pm PT) Apr 21 Jul 14 Oct 20 Jan 19
Courses Begin* (week of) Jun 20 Sep 19 Jan 3 Mar 27
Courses End* (week of) Sep 6 Dec 12 Mar 13 Jun 5
Parking Permits Expire Sep 30 Dec 31 Mar 31 Jun 30
Administrative Holidays Jun 20, Jul 4, Sep 5 Nov 11, Nov 24-25, Dec 23, Dec 26, Dec 30, Jan 2 Jan 16, Feb 20 Mar 31, May 29

*Actual dates may vary by program.

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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 Taylor, CEO, Decision Management Solutions
  • 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.

Exploring Types of Data Analysis: Prescriptive Analytics
Recorded 3/15/22
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Exploring Types of Data Analysis: Descriptive Analytics
Recorded 12/14/21
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Exploring the Field of Data Analytics with Industry Experts
Recorded 2/25/21
View Webinar