Today, organizations compete on the quality of data and analytics. UC Irvine’s Certificate in Business Data and Analytics provides you with a better understanding of how data can lead you to action.
The four modules, competing with Analytics, Web and Mobile Analytics, Data Mining Methods and From Methods to Application, are designed to provide you with the confidence to ask the right questions, parse large quantities of structured and unstructured data and translate your analytics insights into actions.
Earn your certificate in just two days and position your organization to be more competitive by putting the vast amount of data to work.
World-class Merage School faculty who are thought leaders and experts in business information systems
Full two-day program with two interactive modules per day
Program-specific Educational Container website enhances the learning experience
Valuable networking opportunities throughout the program
Competing with Analytics
Overview of Big Data: What is Big Data and why do we care?
Key learnings and best practices from successful firms
Identifying opportunities to leverage Big Data and overcome common challenges
Data Mining Methods
Overview of dashboards
Data pre-processing; testing and training data
Explore Weka and its capabilities (open source software) hands on learning
Predictive analytics: classification using decision trees
Web, Mobile, and Social Analytics
Social analytics: customer sentiments, engagement, and conversion
Clickstream and search engine analytics
A/B testing and experimentations
From Methods to Application
Understanding the process of data analysis
The differentiation between statistical applications and techniques
Understanding which data analytics tool is right for your organization
Web, Mobile, and Social Media Analytics Intro Video
Vijay Gurbaxani, PhD Taco Bell Endowed Professor of Information Systems and Computer Science Director, Center for Digital Transformation University of California, Irvine
Padhraic Smyth, PhD Professor, Department of Computer Science Director, Center for Machine Learning and Intelligent Systems University of California, Irvine
"The use of big data will become a key basis of competition and growth for individual firms. From the standpoint of competitiveness and the potential capture of value, all companies need to take big data seriously."
McKinsey Global Institute 2011
"Dedicated Program Website" - Interactive Resource
Students engage materials and each other through a web-based Educational Container that enhances the learning experience before, during, and after each module. Pre-readings, extended reference libraries, videos, and additional materials are available around the clock to students. Interactions with peers, faculty, executive practitioners, and program staff are enhanced by chat, blog and posting capabilities. During the program, students maximize the value of their learning through interactive dialogue and group activities. After the program has ended, students have ongoing access to the full multimedia reference library, enhancing their ability to apply their learning in the service of enterprise initiatives as well as their own career development.
Pre-Work (2-4 hours)
Interactive Classroom Learning (4 hours)
Discussions and Q and A opportunities that promote class interaction
Faculty illustrating software and participants learning by doing in-class
Resources to enable transfer of learning to the workplace
Topical and timely articles
Optional online chats and discussions
The program went beyond my expectations with relevant content taught by qualified faculty, guest speakers and support staff ensured all my needs were met.