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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.

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
I&C SCI X425.91
Descriptive Analytics: Visualization & Storytelling w/Data (2.50 Units)
I&C SCI X425.91
Online   to be scheduled  
I&C SCI X425.92
Predictive Analytics: Tools & Techniques (2.50 Units)
I&C SCI X425.92
  to be scheduled   Online
I&C SCI X425.93
Prescriptive Analytics: Digital Decisioning (2.50 Units)
I&C SCI X425.93
Online   to be scheduled  
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 X425.98
Data Analytics Project (2.50 Units)
I&C SCI X425.98
       
I&C SCI X426.64
Introduction to Python Programming (2.00 Units)
I&C SCI X426.64
Online to be scheduled to be scheduled Online
I&C SCI X450.72
Introduction to SQL Programming (2.50 Units)
I&C SCI X450.72
Online 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
Remote to be scheduled to be scheduled 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 Fall 2023 Winter 2024 Spring 2024 Summer 2024
Registration Begins (after 2pm PT) Jul 13 Oct 19 Jan 18 Apr 18
Courses Begin* (week of) Sep 25 Jan 8 Apr 1 Jun 24
Courses End* (week of) Dec 11 Mar 18 Jun 10 Sep 9
Administrative Holidays Nov 10, Nov 23-24, Dec 25-26, Jan 1-2 Jan 15, Feb 19 Mar 29, May 27 Jun 19, Jul 4, Sep 2

*Actual dates may vary by program.

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Learn How To Earn Your Certificate

Earn a Certificate

Apply to become a candidate for the program: A Declaration of Candidacy is required to establish candidacy in this program. Complete the application and pay the application and candidacy fee of $125 (non-refundable). Learn more about the benefits of becoming a candidate. Candidacy is not required to enroll into individual course in a program.

A candidate in the program is awarded a certificate upon the successful completion of 11.5 required units and 1.5 elective units totaling 13 units, each with a letter grade of “C” or better. All requirements must be completed within five (5) years after the student enrolls in their first course. To receive the Certified Digital Certificate after the completing all the program requirements, students must submit the Request for Certificate to initiate the certificate audit process. Students not pursuing the 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

Career Advancement Network (CAN)

We are proud to provide our certificate students and alumni with newly enhanced career services that include one-on-one coaching, technology tools, webinars and workshops, networking events, mentorship/internship opportunities, and a rich collection of free online career resources. Learn more.

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