Course: Health Data 101

This course introduces health data, from the perspective of data analysts.

  1. Sources of health data:      e.g. health insurance claims, EHR
  2. What health data look like:  Structured vs Unstructured data
  3. Features of health data:    Hierarchy, Disease etiology, chronology
  4. Issues of health data:      Gaps, Errors, and how to deal with these


“I have been in the healthcare space for some time. I thought this course was put together well. It was concise which I find to be beneficial. This is a great course for those who are beginning their career with healthcare data.”
“Right level for me as I’m just starting in a hospital as a research analyst. Thank you.”
“The courses covers the fundamentals of health data and the course delivery is easy to understand.”


Case study: Making Health Data Confess via ACTEX 

demonstrate how to use health data to build a predictive model on opioid abuse. Use code healthdata18 to get 10% off.

Review1: “Excellent presentation, very knowledgeable presenter, good to apply to future analysis”
“Great/awesome intro, was thought provoking for someone whose company is trying to get organized and develop an analytics department”


Course: Analytic Habits

easy to remember yet highly effective steps to perform your analytic work. Great hack to elevate your work from mediocre to great! Click link to get 30% discount.

Review: “I appreciated the concise and disciples approach to analytics. I am entering this area with no previous experience, so it was VERY helpful. Thank you!!!”