Applied Analytics Certificate
In today’s quickly changing digital world, analytics professionals will need the skills to transform data into actionable intelligence that can drive business decisions. Learn how to apply data analytics and predictive analytics in order to make informed and evidence-based decisions to lead your organization's business objectives and to leverage analytics to gain a competitive advantage. Topics include Basics of Data Analytics, The Art and Science of Data Analytics, Analytics Benchmarks, Business Process Analytics and Innovation, Information and Cyber Security.
- Lead your organization’s bottom-line objects in a two-day certificate program that exposes you to high-demand business analytic skills in an hands-on format.
Fall 2018: September 10-11, 2018 (West LA Campus)
Spring 2019: March 4-5, 2019 (Malibu Campus) or May 6-7, 2019 (West LA Campus)
Fall 2019: November 7-8, 2019 (Malibu Campus)
West Los Angeles Graduate Campus
6100 Center Dr, Suite 400, Los Angeles, CA 90045
Drescher Graduate Campus
24255 Pacific Coast Highway, Malibu, CA 90263
- Cost is per participant and includes program materials and meals (breakfast and lunch, unless otherwise noted).
- General Registration discount available for Pepperdine students and alumni and previous Executive Education program participants. Please contact email@example.com for additional information.
*Dates and locations may change. We will notify students of any changes in a timely manner.
Who Should Enroll
The Certificate in Applied Analytics is designed for:
- Mid-to-senior managers and executives who want to further develop their analytical skill sets and better understand the rapidly changing technology landscape.
- Individuals who want their analytical skill set to align with tech savvy peers or reports.
- Individuals who want to benefit from complementing their existing skill-set with data analytics.
Program Session Descriptions
- Information Security-Cyber Security
Increasingly businesses are leveraging flexible and cost-effective IT architecture built on agile data systems. The critical security problem is that these new business opportunities require new risk evaluation and analytics approaches for remediation. Critical approaches identified and presented in this course include, a risk evaluation of new technologies analyzing how they are aligned to emerging threats and remediation as well as user-behavior analytics.
- The Art and Science of Business Analytics
At its core, business analytics is a data science that draws theory and methodology from decision, management and computer sciences. However, the effective application of business analytics for business impact through its influences on managerial decision making, especially within the contexts of groups and business organizations, involves significant art and craft. This module examines the business rationale for evidenced-based decision making, the behavioral and organizational dynamics surrounding business decision making, and the art and craft of applying business analytics to support effective business decision making.
- Applying Analytics to Your Business
Business analytics is the intersection of statistical and mathematical modeling techniques, technology, and real world business challenges. Through the application of these models and technology, you can improve the likelihood of improved decision making for business operations. Data is front and center in data driven decision making. With data being ubiquitous, Data Science is no longer a function carried out by a select few. Many professionals find themselves needing to leverage their right brain more often to use data as an asset versus a liability – data helps extrapolate key insights from organizations and those who use it well are often well positioned to be more nimble and be proactive versus reactionary. Many analysts fall in the trap of using their data to look at what has happened in the organization in the past tense. We will focus on sharing perspectives and techniques that will enable you to emphasize the importance of predictive analytics. Discussions will be had around how to best harness the value of data in the organization and techniques that will position data as a competitive advantage. Furthermore, various tools for rapid-fire analytics will be examined.
- The Basics of Analytics/Evidence Based Decision Making
Today’s managers operate within dynamic environments, constrained by highly competitive markets. To manage well under such circumstances, requires both rigorous analytical tools and a sophisticated understanding of how to balance the demands of oft-times conflicting constituencies. Using a mix of theory, case studies, and practical experiences, this module seeks to develop participants’ technical skills and their intuition for extracting information from legitimate data sets…with an emphasis on the use of “evidence” for structuring managerial decisions, in highly competitive environments. After an introduction to the essential theories of supervised learning, we will focus attention on applications in regression, decision theory, and optimization.
- Business Process Analysis & Innovation
In this module students will be introduced to key concepts and approaches to business process analysis and improvement. The main focus of this module is both understanding and designing business processes that accomplish specific desired outcomes. Students will learn how to identify, document, model, assess, and improve core business processes. Students will be introduced to process design principles. The way in which information technology can be used to manage, transform, and improve business processes is discussed. Students will be exposed to challenges and approaches to organizational change, domestic and offshore outsourcing, and inter-organizational processes.