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    Course: Predictive Analytics Certificate Program

    Predictive Analytics is among the fastest growing fields in business today. Companies such as Google, Twitter, Netflix and CPG are recruiting predictive analytics professionals to mine the ever-growing mass of consumer behavior data to gain a competitive edge in the marketplace. Statisticians no longer need to be the back room number cruncher.

    The eight-week Predictive Analytics Certificate Program will introduce you to many of the popular advanced statistical techniques used in the field of marketing science and predictive analytics. The course will teach multivariate techniques used to transform information from large data sets into actionable insights. You will gain hands-on experience using SPSS and prepare to be a part of this growing field.

    As you carefully sift through the data, you will discover how to turn data into insights and insights into knowledge. You will experience how the art of “story telling” helps to communicate your findings better, captures your audience’s attention and leads to actionable management decisions.
    The Predictive Analytics Certificate Program also counts as an elective towards completing the Integrated Marketing Communications Certificate Program.

    NOTE: This is not a statistics course. Even though all the techniques are based on the theory of statistics, the approach taken here is logic-based, rather than formula-based. Hence, you will not be a statistics expert at the end of this program; however, you will know and apply all the techniques in a practical manner. Requirement: Basic Business Statistics. No prior experience in SPSS is required.

    Programs Associated with this Course
    • Certificate in Predictive Analytics
    • Certificate in Digital Marketing Strategy Certificate Program
    • Certificate in Integrated Marketing Communications

    "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

    Who Should Attend

    • 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



    • 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

    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.

    Do I get DePaul credit for this class?
    No, but some DePaul CPE courses have been approved for CEU credits. This is a professional education program with different requirements than courses taken for academic credit.

    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.

    Does this program qualify for financial assistance through the Workforce Innovation and Opportunity Act (WIOA)?
    In order to find out if you qualify for financial assistance, you must first contact Workforce Development. As a certified program under the  ILLINOIS workNet  initiative, this program has been approved for workforce training grants for those who are eligible. Funding may  be available for those receiving unemployment benefits. Please contact Workforce Development for more information.

    What are the requirements for the Integrated Marketing Communications Certificate?
    To receive the IMC certificate, students must successfully complete three required courses and two elective courses plus one seminar. Follow the link to learn more about the IMC Certificate and review the list of courses.

    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.

    For More Information, Contact:

    Jurate Murray

    Phone: +1 312-362-5913

    Upcoming Class Offerings

    There are no classes currently being offered in this course. Check back again!

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    For general inquiries, please email us or call 312-362-6300.