Abbott Analytics, Inc.
Workshop sponsored by:
Monday, June 20, 2016 in Chicago
Room: Salon A4
Full-day: 8:30am - 4:30pm
Advanced Methods Hands-on:
Predictive Modeling Techniques
- Practitioners: Analysts who would like a tangible introduction to predictive analytics or who would like to experience analytics using a state-of-the-art data mining software tool.
- Technical Managers: Project leaders, and managers who are responsible for developing predictive analytics solutions, who want to understand the process.
Knowledge Level: Familiar with the basics of predictive modeling.
Once you know the basics of predictive analytics and have prepared data for modeling, which algorithms should you use? What are the similarities "best practices" e e attention will be paid to learning and experiencing the influence various options have on predictive models so that attendees will gain a deeper understanding of how the algorithms work qualitatively.
Participants are expected to know the principles of predictive analytics. This hands-on workshop requires all participants to be involved actively in the model building process, and therefore must be prepared to work independently or in a small team throughout the day. The instructor will help participants understand the application of predictive analytics principles, and will help participants overcome software issues throughout the day.
While the majority of concepts covered during this workshop apply to all predictive analytics projects - regardless of the particular software employed - this workshop's hands-on experience is achieved using Statistica Data Miner. A license will be made available to participants for use on that day (included with workshop registration).
Attendees will be able to try the techniques with Statistica Data Miner during the workshop using their own laptops. Your laptop must be running a Windows operating system (XP, Vista, 7, or 8). If you are bringing a Macintosh computer, you will need to have a Windows virtual machine running on the laptop.
A more detailed description of software and hardware requirements are available here (PDF file):
Attendees receive a course materials book and an official certificate of completion at the conclusion of the workshop.
- Software installation at 8:30am
- Workshop program starts at 9:00am
- Morning Coffee Break at 10:30 - 11:00am
- Lunch provided at 12:30 - 1:15pm
- Afternoon Coffee Break at 2:30 - 3:00pm
- End of the Workshop: 4:30pm
Dean Abbott, President, Abbott Analytics, Inc.
Dean Abbott is Co-Founder and Chief Data Scientist of Smarter Remarketer, Inc., and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology.
Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.
He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).