Understanding the Managerial Implications of Using Big Data and Analytics
As data and the use of data continues to change the business landscape, now is the time to position yourself and your organization to be more competitive by putting the vast amount of information to work. Effectively managing data requires the ability to harness the immense volume of data and the quick influx of new information available, accurately determine the quality of the data collected, and understand how the data should be applied to the business process.
With all the buzz surrounding “big data,” the real excitement lies in the opportunity to better leverage the vast amount of data and information that a company has access to, and in understanding which tools and techniques are best for the organization. The Certificate in Business Data and Analytics (CBDA) Program is taught by thought leaders and experts in the area of business information systems from the top-ranked Paul Merage School of Business at UC Irvine, and provides participants with the knowledge and tools needed to take full advantage of the information and resources available to make their organizations more competitive.
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
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)
Academic faculty and executive practitioners co-design an co-teach module
Recorded sessions for review
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.