Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die Pdf Download UPDATED

Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die Pdf Download

ONLINE TRAINING Program: Predictive Analytics

NOTE: This training has been updated and replaced with Machine Learning Leadership and Practice – End-to-End Mastery. For on-need access to this three-course series, click here.

94% of online participants rated the teacher First-class or Very Adept (details)

What is predictive analytics?

Business metrics do a peachy task summarizing the past. But if yous want to fully leverage data science and predict how customers will reply in the future, in that location is 1 place to plough — predictive analytics (aka automobile learning). Past learning from your abundant historical information, predictive analytics delivers something beyond standard business reports and sales forecasts: actionable predictions for each client. These predictions comprehend all channels, both online and off, foreseeing which customers will buy, click, answer, convert or cancel. If you predict it, you own it.

The customer predictions generated past predictive analytics deliver more relevant content to each client, improving response rates, click rates, buying beliefs, retention and overall turn a profit. For online applications such as e-marketing and customer care recommendations, predictive analytics acts in real-time, dynamically selecting the ad, spider web content or cantankerous-sell product each visitor is well-nigh likely to click on or respond to.

Predictive Analytics Applied is a self-paced online course instructed past the founding chair of Predictive Analytics World that covers the following topics:

• Applications: Business, marketing and web problems solved with predictive analytics
• Core engineering: 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: Projection leadership and business procedure for predictive analytics
• Illustrations: Live demos and detailed example 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 optics

Sample screen shots:

Click on the post-obit 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 one/two hours of viewing time.

This online program is internationally-friendly (but is but available in English language) - registrants have participated remotely from 34 countries: Australia, Belgium, Brazil, Canada, China, Denmark, Finland, French republic, Germany, India, Ireland, Isle of mann, Italy, Nippon, Mexico, The Netherlands, Norway, Poland, Portugal, Russia, Saudi Arabia, Scotland, Singapore, Due south Africa, S Korea, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, United Kingdom, Usa, Uruguay, and Vietnam.

Online preparation participants receive:

• Unlimited access for three months: View the training module videos as many times as desired for iii months, easily skipping to any topic or sub-topic of the training program.
• The instructor'south acclaimed book: Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, a rich, entertaining primer by Eric Siegel.
• Grade materials volume (PDF file): Over 100 pages of material, provided equally a PDF, that corresponds with the presentation slides shown in the training videos (ane book page per slide), and contains additional detailed notes, references and pointers to online resource.
• Document of completion (hard re-create): An official Prediction Touch on certificate with your name and the instructor's signature.

(Click to zoom)
Volume by instructor    Course materials volume         Certificate of completion

Online video format. This online training program consists of loftier-quality videos recorded for online viewing (non the recording of a live seminar). The videos consist of training content, software demos and intermittent teacher appearances, with verbal education throughout.

Each of the 4 training modules of this cocky-paced e-learning programme may exist viewed at your convenience, pausing, rewinding and fast-forwarding as needed. Within each module, bound 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 footstep is to view one module per week. On the faster side, the unabridged program may be "crammed" in simply four days by viewing one sixty-to-90 minute module per twenty-four hour period.

Who this online course is for:

Managers. Projection leaders, directors, CXOs, vice presidents, investors and determination 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 increment entrada ROI for retention, upsell and cross-sell.

Applied science experts. Analysts, data scientists, BI directors, developers, DBAs, information warehousers, spider web analysts, and consultants who wish to extend their expertise to predictive analytics.

In order to meet the unique training needs of business organization decision makers and analytics practitioners, this training program is:

• Business organization-focused. Unlike other training programs that also cover scientific, engineering and medical applications of information science and analytics, this seminar focuses squarely on solving business and marketing problems with these methods.
• Comprehensive beyond business needs. Within this realm, however, we pace beyond the standard application of response modeling for direct marketing to solve a wide range of business problems.
• Vendor-neutral and method-neutral. This preparation program, which is non run by an analytics software vendor, provides a balanced view beyond analytics tools and methods.

No background in statistics or modeling is required. The only specific cognition assumed for this training program is moderate experience with Microsoft Excel or equivalent.

Please contact Prediction Bear upon with any questions about this preparation program.

Outset learning right now

The following brusque, published articles, written by the instructor, are a corking place to get started. Note that these articles are not required reading; nearly of the material therein will be covered during the training plan.

Seven Reasons You lot Need Predictive Analytics Today
Predictive analytics has come up of age as a cadre enterprise practice necessary to sustain competitive advantage. This definitive white newspaper reveals seven strategic objectives that tin be attained to their full potential merely by employing predictive analytics, namely Compete, Abound, 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 action to generate customer predictions that will take a business concern impact. CRM Mag'southward DestinationCRM.

Near the instructor

Eric Siegel, Ph.D., is a leading consultant and onetime Columbia University professor who makes motorcar learning understandable and captivating. He is the founder of the Predictive Analytics World and Deep Learning World conference series, which accept served more than than 17,000 attendees since 2009, the teacher of the acclaimed course "Motorcar Learning Leadership and Practice – End-to-End Mastery", a pop speaker who'southward 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 Volition 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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