Predictive Analytics

"The Predictive Analytics Certificate Program was an excellent growth experience for me and the class was right on target with the course description. The instructor did a great job and I greatly appreciated the focus on developing stories from the analyses that communicate clearly to executive management teams and help them make critical business decisions. I look forward to applying these multivariate techniques I learned in the course in an operations management setting."

-Fred Heller

"The course strengthened my knowledge of advanced data analysis and statistical modeling techniques and gave me practical experience at applying [these techniques] to a complex real-world business problem. The course was well laid out and delivered with a highly efficient style. I was able to recognize my passion for the subject and will pursue further education in this field of study."

-Bryan Rulli

• Professionals in fields such as analytics, marketing, management, business intelligence, data and marketing science, and operations research
• Professionals wanting to improve their analytical skills
• Individuals with a technical background interested in marketing or data analysis
• Individuals with no technical background interested in exploring careers in data analysis
• College graduates in the social sciences interested in furthering their data analysis skills

• Gain knowledge of SPSS
• Discover how to use data to create a coherent “story” to communicate an effective marketing strategy and make presentations supported by data analyses
• Become proficient in advanced multivariate statistical techniques using a practicing manager’s point of view
• Learn to match the right technique with the right opportunity
• Update and enhance your current skills

Topics

• Overview of multivariate data analysis
• Introduction to measurement scales & understanding the variate
• Factor analysis for data reduction
• Multiple regression for prediction purposes
• Cluster analysis for better segmentation
• Multiple discriminant analysis for classification
• Binary logistic regression for predicting purpose
• Correspondence analysis to visualize associations between variables

Syllabus

Week 1

• Overview of Multivariate Data Analysis
• Overview Fundamental Business Statistics Concepts
• Introduction to SPSS

Week 2

• Introduction to Measurement Scales and Descriptive Statistics
• Using SPSS for graphical examination of data

Week 3

• Understanding the Variate and Descriptive Statistics Data Summarization techniques
• Methods of Association and Correlation
• Using SPSS Correlation Analysis to measure relationships between variables

Week 4

• Multiple Regression Analysis Understanding Multiple Regression Analysis
• Using SPSS multiple regression analysis to explain and predict causal relationships

Week 5

• Multiple Discriminant Analysis and Binary Logistic Regression
• Understanding Multiple Discriminant Analysis and logistic regression
• Using SPSS multiple discriminant analysis and logistic regression to predict

Week 6

• Factor Analysis
• Understanding Exploratory Factor Analysis and Principle Components Analysis
• Using SPSS for data reduction and variable reduction
• Reliability Analysis

Week 7

• Cluster Analysis
• Understanding Cluster Analysis
• Using SPSS cluster analysis to create customer segments

Week 8

• Correspondence Analysis
• Understanding Correspondence Analysis
• Using SPSS correspondence analysis to visualize associations between variable

Will we be using data?

Yes, this program teaches you how to use SPSS.

Do I need to have experience with SPSS?

No prior experience in SPSS is required. 

Do I need to access my own company's data?

No. A real-world consumer dataset will be provided for in-class data analysis.

How big is the class?

Class size is limited to allow for a more interactive environment in the classroom. Most classes have fewer than 20 students. 

Will I have to write papers and take exams?

There are no papers or exams for the program. Each week, online review questions will be available for students who want to track their comprehensive understanding of the course material. This feature is optional and is not a requirement for completing the course 

During class time you will work with SPSS and learn how to analyze and interpret a different multivariate statistical technique using a real-world dataset. 

What is the difference between a certificate and a certification?

A certificate is earned after completion of a course or a series of courses. Certificates are usually awarded by a training provider or an educational institution. Certification typically includes an experience, an educational component and requires passing an exam. Certifications are awarded by governmental and/or professional agencies and often require recertification to remain certified.