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NOTE: This training has been updated and replaced with Machine Learning Leadership and Practice – End-to-End Mastery. For on-demand access to this three-course series, click here.
94% of online participants rated the instructor Excellent or Very Good
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What is predictive analytics?
Business metrics do a great job summarizing the past. But if you want to fully leverage data science and predict how customers will respond in the future, there is one place to turn — predictive analytics (aka machine learning). 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 with machine learning
- 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
View a free 13-minute overview
video of this online training program, and access a detailed
outline of its four training modules and a complete summary of course
"take-aways."
Sample screen shots:
Click on the following images for larger screen shots of the online training video:
Online course content and format:
Predictive Analytics Applied includes four jam-packed training modules of 60-90 minutes each, totaling 5 1/2 hours of viewing time.
This online program is internationally-friendly (but is only available in English) - registrants have participated remotely from 34 countries: Australia, Belgium, Brazil, Canada, China, Denmark, Finland, France, Germany, India, Ireland, Isle of Man, Italy, Japan, Mexico, The Netherlands, Norway, Poland, Portugal, Russia, Saudi Arabia, Scotland, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, United Kingdom, United States, Uruguay, and Vietnam.
Online training participants receive:
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Unlimited access for three months: View the training module
videos as many times as desired for three months, easily skipping to
any topic or sub-topic of the training program.
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The instructor's acclaimed book: Predictive
Analytics: The Power to Predict Who Will Click, Buy, Lie, or
Die, a rich, entertaining primer by Eric Siegel.
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Course materials book (PDF file):
Over 100 pages of material, provided as a PDF, that corresponds with
the presentation slides shown in the training videos (one book page
per slide), and contains additional detailed notes, references and
pointers to online resources.
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Certificate of completion (hard copy): An official Prediction Impact certificate with your name and the instructor's signature.
 (Click to zoom)
Book by instructor Course materials book Certificate of completion
Online video format. This online training program consists of
high-quality videos recorded for online viewing (not the recording of
a live seminar). The videos consist of training content, software
demos and intermittent instructor appearances, with verbal instruction
throughout.
Each of the four training modules of this self-paced e-learning
program may be viewed at your convenience, pausing, rewinding and
fast-forwarding as needed. Within each module, jump to each sub-topic
immediately with a single click, and, within each sub-topic, step
forward and back at will.
Since the contents are concentrated, the
recommended pace is to view one module per week. On the faster side,
the entire program may be "crammed" in just four days by viewing one
60-to-90 minute module per day.
Who this online course is for:
Managers. Project leaders, directors, CXOs, vice presidents, investors and decision makers of any kind involved with analytics, direct marketing or online marketing activities.
Marketers. Personnel running or supporting direct marketing, response modeling, or online marketing who wish to improve response rates and increase campaign ROI for retention, upsell and cross-sell.
Technology experts. Analysts, data scientists, BI directors, developers, DBAs, data warehousers, web analysts, and consultants who wish to extend their expertise to predictive analytics.
In order to meet the unique training needs of business decision makers and analytics practitioners, this training program is:
- Business-focused. Unlike other training programs that also cover scientific, engineering and medical applications of data science and analytics, this seminar focuses squarely on solving business and marketing problems with these methods.
- Comprehensive across business needs. Within this realm, however, we step beyond the standard application of response modeling for direct marketing to solve a wide range of business problems.
- Vendor-neutral and method-neutral. This training program, which is not run by an analytics software vendor, provides a balanced view across analytics tools and methods.
No background in statistics or modeling is required. The only specific knowledge assumed for this training program is moderate experience with Microsoft Excel or equivalent.
Please contact Prediction Impact with any questions about this training program.
Start learning right now
The following short, published articles, written by the instructor, are a great place to get started. Note that these articles are not required reading; most of the material therein will be covered during the training program.
Seven Reasons You Need Predictive Analytics Today
Predictive analytics has come of age as a core enterprise practice necessary to sustain competitive advantage. This definitive white paper reveals seven strategic objectives that can be attained to their full potential only by employing predictive analytics, namely Compete, Grow, Enforce, Improve, Satisfy, Learn, and Act.
Predictive Analytics with Data Mining: How It Works
Get a handle on the functional value of predictive analytics for marketing, sales and product direction.
Driven with Business Expertise, Analytics Produces Actionable Predictions
Run data mining as a business activity to generate customer predictions that will have a business impact. CRM Magazine's DestinationCRM.
About the instructor
Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who makes machine learning understandable and captivating. He is the founder of the Predictive Analytics World and Deep Learning World conference series, which have served more than 17,000 attendees since 2009, the instructor of the acclaimed course "Machine Learning Leadership and Practice – End-to-End Mastery", a popular speaker who's been commissioned for more than 110 keynote addresses, and executive editor of The Machine Learning Times. He authored the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, which has been used in courses at more than 35 universities, and he won teaching awards when he was a professor at Columbia University, where he sang educational songs to his students. Eric also publishes op-eds on analytics and social justice. Follow him at @predictanalytic.
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