Predictive Analytics Applied — Online Course
| PROGRAM: | Predictive Analytics Applied — Online Course The official training program of Predictive Analytics World |
| FORMAT: | On-demand, self-paced e-learning — at your convenience Internationally-friendly online program |
| INSTRUCTOR: | Eric Siegel, Ph.D., founding chair of Predictive Analytics World and author of the book Predictive Analytics (copy included) |
| REGISTER: | Sign up for immediate access |
94% of online participants rated the instructor Excellent or Very Good (details)
FREE BOOK – PREDICTIVE ANALYTICS: The Power to Predict Who Will Click, Buy, Lie, or Die
What is predictive analytics?
Business metrics do a great job summarizing the past. But if you want to fully leverage big data and predict how customers will respond in the future, there is one place to turn — predictive analytics. By learning from your abundant historical data, predictive analytics delivers something beyond standard business reports and sales forecasts: actionable predictions for each customer. These predictions encompass all channels, both online and off, foreseeing which customers will buy, click, respond, convert or cancel. If you predict it, you own it.
The customer predictions generated by predictive analytics deliver more relevant content to each customer, improving response rates, click rates, buying behavior, retention and overall profit. For online applications such as e-marketing and customer care recommendations, predictive analytics acts in real-time, dynamically selecting the ad, web content or cross-sell product each visitor is most likely to click on or respond to.
Predictive Analytics Applied is a self-paced online course instructed by the founding chair of Predictive Analytics World that covers the following topics:
- Applications: Business, marketing and web problems solved with predictive analytics
- Core technology: How a predictive model works and how it’s created
- Evaluation: How well a predictive model works and how much revenue it generates
- Management: Project leadership and business process for predictive analytics
- Illustrations: Live demos and detailed case studies
- Hands-on: “Get your hands dirty” with a revealing Excel-based exercise, bringing a predictive model to life and seeing it improve before your eyes






