Online Workshop – The Advanced Data Preparation Bootcamp: Whip your Data into Shape

New to predictive analytics and machine learning? Take this online course to ramp up before Predictive Analytics World.

Serves as preparation for Predictive Analytics World,
October 29 – November 2, 2017 in New York

Online 5 ½-hour training program:

  • On-demand at any time start now for 3 months of access
  • Self-paced e-learning at your convenience
  • Internationally-friendly taken from over 30 countries

Intended Audience:

  • 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, BI directors, developers, DBAs, data warehousers, web analysts, and consultants who wish to extend their expertise to predictive analytics.

Knowledge Level: 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.

Attendees will receive 3 months of unlimited online access, a course materials book, and a certificate of completion.

Eric Siegel
Eric Siegel

Conference Founder

Workshop Description

Business metrics do a great job summarizing the past. But if you want to predict how customers will respond in the future, there is one place to turn — predictive analytics and 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 founder of Predictive Analytics World that covers the following topics:

  • Applications: Business, marketing and web problems solved with predictive analytics. The many ways its predictions can be used to drive various business decisions.
  • Core Technology: How a predictive model works and how it’s created with machine learning. What a predictive model looks like under the cover. What data is required for predictive modeling.
  • Evaluation: How well a predictive model works and how much revenue it generates
  • Management: Project leadership and business process for predictive analytics; the organizational challenges and how to overcome them.
  • 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

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 ½-hours of viewing time.

This online program is internationally-friendly (but is only available in English) – registrants have participated remotely from 31 countries: Australia, Belgium, Canada, China, Denmark, Finland, France, Germany, India, Ireland, Isle of Man, Italy, 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, and Uruguay.

Online training participants receive:

  • 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.
  • Certificate of completion: An official Prediction Impact certificate with your name and the instructor’s signature.
  • Course materials book: Over 100 pages of material 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.

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. The video image is large – the resolution is 800 by 600 (960 by 655 including video control areas), which is a large portion of your screen – possibly the entirety of your screen, depending on its resolution.

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, a 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.

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 mining 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.

Registrants for Predictive Analytics Applied receive:

  • On-demand access for three months: View the training module videos as many times as desired for three months, with easy navigation to any topic or sub-topic of the training program. This gives you the opportunity to revisit portions of the course as needed, even after attending Predictive Analytics World.
  • Course materials book: Over 100 pages of material 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.
  • Certificate of completion: An official Prediction Impact certificate with your name and the instructor’s signature.

System requirements to view this online training program:

  • High-speed Internet connection
  • Adobe Flash Player 9 installed

You will receive access to the online training program by way of an email sent within two business days of registration (please check your spam folder if you do not see the message within two business days).

REGISTER NOW

What prior attendees have exclaimed

Ratings of the Online Training: Predictive Analytics Applied

  • 87% of online participants rated the overall course Excellent or Very Good.
  • 94% of online participants rated the instructor Excellent or Very Good.
  • 97% of participants would recommend this training program; 70% Very strongly or Strongly.

Training participant comments about Predictive Analytics Applied:

“This course changed my life – a great top-off to the instructor’s book that reiterates the book’s key objectives so you remember them much better and expands the real world examples extensively.”

Christian Lawson
Director, Architecture
NYC Dept of IT
United States

“A very clear presentation, building concept upon concept and knowledge upon knowledge in a very orderly fashion that is easy to understand and retain. The hands-on exercise which culminates the second module is very exciting. The structure built upon this foundation is solid, robust and flexible.”

Moshe Kravitz
Director of Finance
IDT
United States

“It’s just the best way to enter the amazing new world of Predictive Analytics! Compact, to the point but still not shallow. And I love the many strong examples.”

Ronny Roeller
CTO
Fredhopper
The Netherlands

“As business understands the importance of predictive analytics, the skills and resources become more critical – This course was a great introduction to lay the groundworks for someone interested.”

Jane Kuberski
Infrastructure Engineering (Data Analytics)
Nationwide Insurance
United States

“Thank you Eric for the perfect introduction to predictive analytics. It’s just the right blend of a business and technical angle I was looking for.”

Emiliano Pasqualetti
CEO
DomainsBot Inc.
United States

“I like the humor and the instructor’s demeanor; felt more like a conversation over coffee rather than a technical instruction course.”

Jeff Carmody, CSP
Sr Manager, Field Safety Support
BNSF Railway
United States

“This course is a key to the magic garden of predictive analytics!”

Simon Väcklen
Market Analyst
Resurs Bank
Sweden

“A great learning tool; on completion, we realizee why we couldn’t do it earlier.”

Francesco Renne
CEO
ICTeam
Italy

“Predictive Analytics Applied is truly an amazing course that opens the door to the hidden value of implementing predictive analytics. Eric’s personality brings the content to life. I highly recommend this course to anyone who is focused on business optimization.”

Ken Pendergast
Senior Analyst
Commission Junction
United States

“Comfortable, clear introduction to the world of predictive analytics. Real-world case studies show how predictive analytics techniques add value to an organization.”

Philip Nyman
CRM Consultant
University of illinois
United States

“This course is the most comprehensive and pragmatic on the topic. It is accessible to anyone (C-level executive and power analysts alike)… and offers a window on a world that will drive the future of marketing decisions. You’ll also find that the online version offers flexibility and entertainment; Eric is clever, funny, and is a visionary for the discipline.”

Patrick Turgeon
Principal
Figurs
Canada

“[The instructor] manages to present the concepts and techniques in a practical way so you can later apply it to your particular situation. Follow-up over email and phone worked very well. He responded fast and did not hesitate to answer, [taking] the time needed to make points understood.”

Diego Socolovsky
Principal
MATES Business Consulting
Uruguay

“Wish I had access to your material 10 years ago! Your training is high-impact, carb-packed food for thought. It opened the door for me to this fantastic space.”

Matthew Bascom
President
Export Analytics Inc.
United States

“This online training is the best way to start with predictive analytics. It gives an excellent high level overview of the subject, presents several techniques that are immediately applicable and introduces the ideas behind underlying math algorithms in an easy to understand manner. This allowed me to motivate my team of product managers to apply predictive analytics techniques in their product and gather some low hanging fruits. Moreover, it ignited deeper study of the subject and its applicability in our case.”

Suren Samarchyan
VP of Product Management
Innova Systems
Russia

“I enjoyed taking the seminar! Eric gives a very clear and concise presentation of important data mining concepts.”

Vlad Savchenko
Software Consultant
Nexus Group
United States

“…awesome. A good high-level insight is provided on topics such as neural networks, Naive Bayes, targeting online ads, etc.”

Murlidhar Jutti
Statistical Modeler
Mercury Analytics
Canada

“Very well done and just what I needed to move forward with predictive analytics.”

Jerry Sabuda
President
Sabuda Technology Solutions
United States

“This online course is the most effective way to demystify predictive analytics. The examples throughout made the course relevant and engaging. I now have a good sense of what’s possible and many challenges to do predictive right. Money well spent!”

Edmond Sam
General Manager, Cloud Analytics
BBM Analytics
Canada

“It was great to have a low cost way to get to this content.”

“The interactive Excel worksheet [hands-on exercise] illustrating lift was terrific.”

“By the way, great course! With 10 years in software I am new to analytics but am finding the courses to be very good.”

“The program was very well organized, starting with the very basics and ending with a useful summary. The way the modules were split up also worked well – not so short that they were like a summary, but not so long that one (or a part of one) could not be completed at one sitting. I found that hands-on experimentation very useful and enjoyed mucking around with the ‘model’.”

“I enjoyed your module 1 a lot (both the delivery and the contents). I’d taken one course before but it was rather cryptic. You clarified many of my doubts. I am enjoying and really learning a lot.”

“[I liked best the] ability to self-pace the study.”

Prior training participants include: Accenture (Singapore), Accenture, ACI Worldwide, Activision, Acumed, Adaptive Systems Inc, Aflac, Agilent Technologies, Agnesian HealthCare, Ahead, AIG, Air Products, Allconnect, Allstate Canada, ALSAC St. Jude, Alvarez & Marsal, Amazon, American Academy of Neurology, American Cancer Society, American Express, Amylin Pharmaceuticals, Apple, ARAMARK Uniform Services, ARAMARK, Argos, ASAE & The Center, Asset Acceptance (collections), AT&T, AutoTrader.com, AvenueVERVE, Avnet Electronics, Axcess Financial, BAE Systems, Bank of America, Baxter Healthcare, Bayer, Beckman Coulter, Bell Canada, BeneTrac, BESTSELLER (Denmark), Better World Books, Bigfishgames, BinaryInfoSystems Corp, BioIntelli, Bio-Tissue, Blackstone, BNSF Railway, Boeing, Booz Allen Hamilton, Bozeman Deaconess Hospital, Bridgepoint Education, BrightTALK (UK), British Columbia Lottery, Campbell Soup Company, Canada Revenue Agency, Capay, Capco, Capgemini (Germany), Carilion Clinic , CASH 1, Caterpillar, Chalhoub Group (UK), Chamberlain College, Changyou.com, CHEP, Chevron Federal Credit Union, CIBC, Ciber (IT consulting), Cisco, Citi, Citrix, City of Oakland, City of Palo Alto, Coca-Cola, Comcast, Commission Junction, Community Credit Union of Florida, Compugen, Conde Nast, Consumer Reports, Contra Costa Sheriff’s Office, Convergys, CoreSight (Australia), Costco, Countryside Magazine, Coutts Bank (UK), CRICO, CRS Business Associates, Daiichi Sankyo, Dan Church Aid (Denmark), Danish National Police, Datability (Saudi Arabia), DataDrivenCEO.com, Datagaan, Deep Blue Yacht Supply, Deloitte, Demandware, Devon Energy, Dfocus, Digi-Key, Diocese of Oakland, DIRECTV, Discover Financial Services, Disney, DomainBot, DraftFCB, Dunkin, Duquesne University, Dynamic Workforce Solutions, Easytobook.com, Eaton, Edmunds.com, Education Advisory Board, EducationDynamics, Elders Insurance (Australia), Electronic Arts, Elsevier, EMA Softech, EMC, Emerson Ecologics, Empire Life, Enbridge Pipelines, etracker (Germany), Etsy, Eugene Water & Electric Board, Evonik Industries, Experian, Experimental Aircraft Assoc, Exploratorium (museum), Export Analytics, Export Development Canada, Extra Space Storage, Facienta Consulting, Federal Trade Commission, FedEx, Fifth Gear, Figurs, First Class Flyer, Fiserv, Fluor, Foreclosure.com, Formspring.me, Fredhopper, Freedom Communications, FRHI Hotels & Resorts, Fujitsu, Fusion Technology, Gannon University, GEICO, Genentech, George P Johnson Marketing, Gerson Lehrman Group, GlaxoSmithKline Healthcare, Google France, Google, Government of Canada – DND, Grupo Bimbo (Mexico), Guardian Life, Haworth, Hayneedle, HCL Technologies (Singapore), Heineken, Hewlett Packard, Hilti, Hitachi, Humana, Iberdrola Renewables, IBM, ICF International, IDEX, IDT Telecom, ImetriX (Italy), ImmobilienScout24 (Germany), Infogix, Ingersoll Rand, Innova Systems, Innovis Data Solutions, Intellectual Capital Consulting, Interactive Data, Intermedia Advertising, Intigral (United Arab Emirates), Intuit (India), InVision Software (Germany), ION Innovative Solutions, Iron Mountain, ITBM Consulting, Itron, Janus Capital Group, John Hancock Life, Johnson & Johnson, Kaiser Permanente, KnowledgePool, Korn/Ferry, Lerd Services (Canada), Levi Strauss, LG CNS, LHS Telekommunikation, Liberata (UK outsourcing), Liberty Mutual, Lift Agency, Likewise Software], LinkShare, Liquidnet, Lithium Technologies, LiveIntent, Louisiana Public Health Institute, Lowes, Lululemon Athletica, Mackenzie Investments, Manulife Financial, MarketStar, Marlin Financial (UK), MATES Business Consulting, McMaster Carr Supply, Mercury Analytics, MESH, Micro Strategies, Microsoft, Minneapolis Institute of Arts, MSU Federal Credit Union, Nabler Web Solutions, NASDAQ OMX, National Australia Bank, Nationwide Insurance, Nat’l Danish Police (Denmark), NBCUniversal, Nestle, NetApp, New Marketing Factory, NEXT Ltd., Nexus Group, Nielsen, NLogic Canada, NOD3x, Northrop Grumman, Northwestern University, NTT, Numericjobs.com, NYC Dept of IT, Offspring Solutions, Ontario Teachers’ Pension Plan, Opinmind, Opta Information intelligence, Optimized Ortho (Australia), Oregon Dept Consumer & Bus, Pacific Gas & Electric, Pella (windows & doors), PEMCO Insurance, Peoplefluent, PepsiCo, Perceptive Software, Percussion Software, Performance Food Group, Performix Consulting, Philips Healthcare, PhunkMedia, Pitney Bowes, Planet Millennium (India), Plante Moran, Plentyoffish, PLS Financial, Points.com, PokerStars, Popular Community Bank , PRO Unlimited, Procter & Gamble, Project Management Institute, Project Performance Corp, Projectline Services, ProVation Medical, Prudential, Puretec Industrial Water, Quadbase, Quaero, Quality Health Strategies, Quantium (Australia), Queen’s U. (UK), Raytheon, Razorfish, RBC Royal Bank, Realogy, Redbubble.com, Replacements, Ltd, Resurs Bank (Sweden), RMP Athletic Locker, Rocket Dog, Rockpoint Logistics, Royal Caribbean, SAC Capital Advisors, Sagence Group, Samsung, San Manuel Casino, Sandia National Laboratories, SAP, Saudi Aramco, Scala, Schireson Associates Schneider Electric, Scout Analytics, Seniorlink, Service Canada, Shell Canada, Shell, Shire Pharmaceuticals, Shoprite (South Africa), Shutterfly, Siemens (Germany), Slalom Consulting, SmarterTravel.com, Smartphoto (Switzerland), Snohomish Public Utility District, Sobeys, Social Security Administration, SPX (manufacturing), State Street, State Trustees (Australia), StrongMail, Stryker, Sullexis, Sunrise Systems , SuperMedia, Sutter Health, Symphony Teleca, T. Rowe Price, Target, TASC, Tejari, Telogical Systems, The Doctors Company, The Jackson Laboratory, The Nebraska Medical Center, Think Finance, Thompson Travel (UK), Thomson Reuters, TIGTA, TotalJobs Group, Town of Ramapo, Travelers, Turk Telekom (Turkey), U. Alabama Huntsville, U. Illinois Urbana-Champaign, U. Maryland, U. Michigan, Unidos Financial Services, Union Bank & Trust, United Recovery Systems, University of Wisconsin, US Air Force, US Coast Guard, US Dept of Health & Human Services, US GSA, US Postal Service, USAID, V2A Strategic Mgt Consulting, Vail Systems, Verisign, Verizon, Vertex Pharmaceuticals, Vertis Communications, Viacom, Virtual Hold, VirtualWorks, Vision Service Plan, VMware, Wallenius Wilhelmsen Logistics, Washington Gas, Waters, Weiss Group, Wells Fargo, Western Kentucky University, Whitestone Advisors, WI Dept Children & Families, Willmott Dixon, Wunderman A/S, Xerox, YogaTerric, Zurich Insurance (Hong Kong), and more.