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Certificate in Predictive Business Analytics

The Predictive Business Analytics Certificate Program uses real-world problems and situations to prepare professionals for roles as strategic practitioners who leverage predictive analysis and predictive modeling to drive smart business decisions.

Predictive Business Analytics

Program Courses

To earn a certificate in Predictive Business Analytics, you must complete the four core courses and one elective.  




Professional Development Programs

Bridge School of Management
PRED_BUS 202-DL Modeling Methods *Core Course

This course introduces students to applying predictive models in business areas such as marketing, finance, supply chain, etc. The course aims to provide a hands-on approach to teach students about models that are frequently applied to make informed business decisions. Students will learn regression and classification methods – based on ordinary least squares based regression, logistic regression, and multinomial logit, and classification and regression trees. Student will learn how to implement these methods in the R statistical programming language. The course format is a combination of textbook readings, Video sessions, group discussions, in-class and online lectures from faculty. Weekly quizzes and programming assignments using R will be used to reinforce both concepts and practice.

Winter 2018 Sec #16 (202-DL)
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Start/End Dates Day Time Building
12/17/17 - 02/25/18 Asynch
Instructor Location Status CAESAR Course ID
Online Open 28181
PRED_BUS 203-DL Advanced Modeling Methods *Core Course

Advanced Modeling Methods gives business analysts the foundation and tools to implement various prediction algorithms that will allow them to make better data driven decision for their business. This course places emphasis on modeling techniques to gain insight into hidden data patterns while using the technology stack of R. Topics covered will include various classification algorithms such as Cluster Analysis, Neural Networks, Discriminant Analysis, and Support Vector Machines. Students will also be introduced to various topics in Time Series, and other statistical based methods including Principal Component Analysis and Affinity Analysis. Lastly, students will learn about the structure of Networks and how tools such as Sentiment Analysis can provide valuable insight into their customer base.

Winter 2018 Sec #15 (203-DL)


Schedule Notes:

Cohort 15

Start/End Dates Day Time Building
01/07/18 - 02/25/18 Asynch
Instructor Location Status CAESAR Course ID
Online Closed 28182
Winter 2018 Sec #16 (203-DL)


Schedule Notes:

Cohort 16

Start/End Dates Day Time Building
03/04/18 - 04/22/18 Asynch
Instructor Location Status CAESAR Course ID
Online Closed 28183
PRED_BUS 204-DL Analytics Communication & Management *Core Course

In this section we will focus the keys to becoming a predictive analytics enabled organization. Next we will examine how to take the results from data mining and predictive analytics to create powerful and convincing visual analytics. We will focus on creating info graphics, PowerPoint presentations, Dashboarding software and writing simple code in R to create powerful charts and infographics. We will also learn methods to create lasting impact on the audience while designing such infographics, visuals and dashboards. We will learn different examples from the industry on the best practices. Lastly, we will examine how an organization can use predictive analytics as a competitive advantage and the privacy and security concerns that may accompany that transformation.

Winter 2018 Sec #14 (204-DL)
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Start/End Dates Day Time Building
12/16/17 - 02/17/18 Asynch
Instructor Location Status CAESAR Course ID
Online Open 28186
Winter 2018 Sec #15 (204-DL)


Schedule Notes:

Cohort 15

Start/End Dates Day Time Building
03/11/18 - 04/29/18 Asynch
Instructor Location Status CAESAR Course ID
Online Open 28187
PRED_BUS 302-DL Marketing Analytics *Elective

This course focuses on marketing analytics methods and applications that are used to develop marketing strategies, and create a link between marketing, customer behavior and business outcome. The course will emphasize multivariate analytical techniques organized according to the Strategic Marketing Process. This course lays the foundations of Marketing Analytics in a Strategic Marketing process within the confines of a typical Business environment. The course would cover strategic analytical approaches such as, market segmentation, targeted marketing via database marketing, design of new products via conjoint analysis, Consumer Choice Modeling, product positioning via perceptual mapping, intra-category competitive analysis, Digital Marketing Analytics, and Marketing mix modeling.

The class will assume that students have knowledge of various statistical methods and software from PBA-1, PBA-2, and PBA-3 courses. Students will be introduced to new analytical methodology such as orthogonal experimental designs, conjoint analysis, conjoint simulators and consumer choice modeling, and perceptual mapping.

The course will use a combination of weekly readings, case studies, group assignments, individual assignments, group assignments, and a group project.

Winter 2018 Sec #13 (302-DL)
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Schedule Notes:

Cohort 13

Start/End Dates Day Time Building
01/07/18 - 02/25/18 Asynch
Instructor Location Status CAESAR Course ID
Online Open 28188
PRED_BUS 303-DL Risk Analytics *Elective

This course is an elective in the curriculum of the Certificate in Predictive Business Analytics. It builds on the previous introductory material to provide analysts with the tools to quantify, mitigate, and manage risk in a business setting. Students will identify business risks, design risk analyses, and use technologies—primarily the R programming language—to run risk analytics and simulations.

Winter 2018 Sec #14 (303-DL)
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Start/End Dates Day Time Building
03/03/18 - 04/21/18 Asynch
Instructor Location Status CAESAR Course ID
Online Open 28189