Elder Research developed a data organization and search solution in partnership with the American Health Care Association and the National Center for Assisted Living (AHCA/NCAL), streamlining access to complex regulatory documents.

In this video our founder John Elder explores the two persistent challenges holding data analytics professionals back—and ways to overcome those challenges.

Join data scientists Paige Spell and Shaylee Davis for a practical and engaging webinar that explores how analytics evolves across organizations at different maturity stages.

Elder Research codeveloped HOTPITS, a modular, physics-based framework for predicting and simulating the hot corrosion of Ni-based superalloy components in gas-turbine engine components.

Data Mining for Business Analytics is used at over 560 universities and colleges, and has been translated into Korean and Chinese. It has been adapted for four software environments (R, Python, Excel and JMP) and, since it was first published in 2007, has been through 11 editions.

Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers at multiple levels of exposure to basic probability and statistics.

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective.

Practical Statistics explains how to apply key statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not.

A global humanitarian organization asked Elder Research to develop a customized training and collaborative modeling framework.