Training Clients & Testimonials



"Elder Research provided our data science team with stellar customized R training and it was obvious they were well prepared with our data. The trainers were engaged, technically knowledgeable, and incredible communicators, which we thought would be a hard combination to find. We could sense their goal truly was to empower their clients and be unbiased data science partners, instead of trying to sell us a product."

Data Scientist
World Vision U.S.

"I can't tell you enough how valuable the conference was to my planning and improving data within Macomb county."

Joe McBratnie
Database Administrator
Macomb County Michigan

"I appreciated the two day course and enjoyed it more (and absorbed more) the second time around. I really appreciate [Dr. Elder’s] ability to explain complex concepts using stories and analogies. It is a rare gift and he obviously has refined it.  I also liked all of the pictures, diagrams and visualizations.” 

Casimir Saternos
Software Architect
Synchronoss Technologies, Inc.

"Dr. John Elder has a great combination of expertise, humor, and passion about what he is doing! Both the workshop and the conference talk were just great."

Data Driven Business - London

“Exceeded expectations. Very good for learning more detail in a snapshot and broadening specific understanding. Very applicable for people out in the field.”

“A solid overview of the map of the territory of data science, allowing you to drill in on pieces that will help you the most.’

"[Dr. Elder] provided examples shedding light on complex concepts. He gave the big picture all along the way."

"Gave real practical insights from a practitioner's point of view."

"Finally someone told me how things are done, not just how great Data Mining is."

"Most valuable, were the insights into the essence of various methods, their relative strengths and weaknesses, and the important open research areas."

"Very interesting, knowledgeable, and entertaining approach."

“A very interesting overview of data science highlighting best practices, pitfalls to avoid and John’s experiences with both.”

“A great overview of the key data mining skills and trends, and value provided in all industries.”

“A great wide intro into important data science topics. Ensembling, sampling techniques and metric evaluations were the most useful topics covered.”

“A modern approach to delivering insights from data and assessing your confidence in those insights.”

“Entertaining and informative. An Overview of the methods and applications of data mining with emphasis on best practices.”



  • Affecto – Norway and Finland
  • AFS
  • American Management Systems
  • AT&T Bell Labs
  • BBVA Bancomer
  • Becton-Dickinson
  • Bell Atlantic
  • Capital One
  • Citibank (England)
  • Continental Airlines
  • Daimler-Benz - Germany
  • Daman Health
  • Dow AgroSciences
  • Edward Jones
  • Electronic Warfare Associates
  • Fannie Mae
  • Federal Data Corporation
  • FM Global
  • Glaxo-Smith-Kline
  • Glaxo-Wellcome (now part of GSK)
  • Great American Insurance Group
  • HSBC
  • Insurance Services Office
  • Johnson & Johnson
  • Kabbage, Inc
  • Khol’s
  • Lindner Funds
  • Martin Marietta
  • MetLife
  • Nationwide
  • Peoples Bank
  • Peregrine (now part of HP)
  • Pharmacia & Upjohn
  • Pitney Bowes
  • Procter & Gamble
  • PSCU Financial Services
  • Rio Grande Medical Technologies
  • Salford Systems
  • SAS – US, Mexico, UAE
  • Smith-Kline Beecham (now part of GSK)
  • Southwest Research Institute (SWRI)
  • SunTrust
  • The Nature Conservatory
  • Thomas Industrial Network
  • UNI Strategic – Malaysia
  • World’s Foremost Bank (part of Cabela’s)


  • American Public University System
  • Baylor Medical School Urology
  • Fairfield University School of Business
  • George Mason Applied Engineering & Statistics
  • Harvard - Business School, School of Public Medicine
  • MIT Sloan Business School
  • Rice University - Computational and Applied Mathematics, Statistics, Continuing Education
  • University of Alabama at Huntsville Computer Science
  • University of Tennessee Knoxville Statistics
  • University of Virginia - McIntire School of Commerce, Darden Business School, Systems and Information Engineering, Statistics
  • Virginia Polytechnic Institute Aerospace and Oceans Engineering
  • Wheaton College

Government Agencies

  • Defense Finance and Accounting Agency (DFAS)
  • Department of Labor (DOL)
  • Internal Revenue Service (IRS)
  • National Academy of Sciences
  • National Science Foundation (NSF)
  • National Security Agency (NSA)
  • Social Security Administration (SSA)
  • Naval Weapons Center

Professional Associations

  • American Marketing Association (AMA)
  • American Statistical Association (ASA)
  • Applied Statistics Society
  • Biopharmaceutical Society
  • Gordian Institute
  • IEEE Conference on Data Mining (ICDM)
  • IEEE Systems, Man & Cybernetics Society
  • INFORMS Roundtable
  • Institute for Professional Education
  • Institute of Electrical and Electronics Engineers (IEEE)
  • Interface Foundation of North America
  • International Communications Forecasting
  • Knowledge Discovery & Data Mining (KDD) – US, France
  • Midwest Biopharmaceutical Statistics Society
  • Operations Research Society
  • Pharmaceutical Management Science Association (PMSA)
  • Predict Conference – Ireland
  • Predictive Analytics World (PAW) – US, UK, Canada
  • Richmond Society of Financial Analysts
  • Society for Industrial and Applied Mathematics (SIAM)
  • Systems Engineering Society – US, Chile
  • Virginia Piedmont Technology Council