Health Data 101 (Udemy.com)
Intro to Health Data, sources, features, issues: insurance claims, EHR, diagnosis, procedure, drug codes
Created by: Eddie Jay
Last updated July 2024
What you will learn
- Introduction to Health Data - sources, types, uses
- Introduction to Diagnosis, medical procedure, drug, laboratory codes
- Features of health data that enhance analyses
- Issues with health data and how to practically handle these
How it compares
Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:
- Rating4.5 out of 5higher than 49% of them
- Reviews3,673#64 of 372 by number of reviews
- Length1.1 hoursshorter than 95% of them
- Last updatedJuly 2024earlier than 63% of them
Course Description
This is an introductory course for Health Data, from the perspective of data analysts.
The content is pitched at entry level health data analysts.
Data characterizes, and connects complex health care systems.
A thorough understanding of health data is fundamental to health analytics, which in turn turns raw health data into actionable insights. There are also features of health data that are pertinent to making effective use of it. Though there are plenty health data, there persists issues that must be address in order to scaleably perform subsequent analyses.
Through this course, you will
gain a highly valuable skill in the healthcare sector
understand how health data records information about each patient and medical encounter
learn a few features of health data that enable you to perform more insightful analyses
be able to communicate more effectively with clinical and analytic colleagues
be empowered to improve care processes and make a difference to many people’s health and lives
The 4 sections we will cover
Where health data come from: 5 main sources including health insurance claims, EHR, research reports, public health, user generated
What health data look like: Structured and Unstructured data, including diagnosis, procedures, drug, LOINC codes
Features of health data: Hierarchical structures, Disease etiology, chronology, supply vs demand
Issues of health data: Gaps, Errors, and how to practically deal with these
NEW!!! 2 Bonus Sections from my Predictive Modeling course on Planning and Getting buy in for an analysis.
Instructor Details
- 4.5 Rating
3,673 Reviews
Eddie Jay
I have worked in the data rich healthcare space for over 20 years.
I'm passionate about pragmatically utilizing health data to find actionable insights, thereby improving patient care.
I've worked for a variety of health care organizations including insurers, hospitals, pharmaceutical companies and software startups.
I know how to get value out of healthcare data.
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Reviews
By Jessica Valle on 6/27/2025
It was very basic, although informational. I found the content to be too scattered in terms of information covered. I think insurance claims information should be within a separate course as it is entirely different from analytics in the healthcare setting.
By Mykola Veremeichyk on 11/28/2024
I enrolled in this course because I wanted to better understand the health data related to my current work case. It has not answered all of my questions, but it has nicely explained a few other concepts that are very useful when working with health data. One point I must admit is that every lecture includes resources with articles related to the topic, which is also useful.
By Nicole Coleman on 3/29/2023
I am pursuing a new career path and am exploring interests. I appreciate this course because I thought the course was concise and comprehensive. The examples provided a thorough visualization of what it is like to analyze health data and shows how impactful it could be.
By Brenden Sol Gregorio on 10/10/2022
As a young healthcare professional, I found Health Data 101 very insightful. I was hoping to learn more about the fundamental types of data that I would come across as I begin my healthcare journey, and this course delivered. Coming from an undergraduate background in Biology, I must admit that my knowledge of data science up to this point was quite limited. I enjoyed how the professor delineated between structured and unstructured data sets, and how these types of data can be analyzed in different ways. Moreover, I appreciated the optional section regarding the application of data analysis in the context of healthcare studies (the example of using data analysis to gain insight into Opioid Use Disorder prevalence and outcomes was great). Overall, I feel more confident in my ability to comprehend the the role of statistics in informing clinical treatment. Thank you!
By Tina Ho on 8/5/2022
As a scrum master of a data team, I found this very useful to get a better insight into understanding some of the work they do, including some issues they might encounter. Videos were nicely broken up into short sections which meant I could do a section, or mini section, around my workload
By Blathnaid Choice on 6/3/2022
As a Health Information Tech I really enjoyed this course because I have the understanding of the Coding Information and processes that are discussed. That being said the explanations are very clear for anyone to understand. Thank you for a great presentation.
By Margaret Duriga on 7/25/2021
Covers a lot of material about EHR. Compiling information on the medical exa.inations and treatment of the individual. The website/course material itself (the latter plentiful in resource material) was difficult if not at times impossible to navigate through. Some sections' resource material seems impossible to access. The course introduction, too, seems to be the instructor's working outline
By Sangeetha Narayanan on 1/23/2021
Perfect high-level intro to healthcare analytics without having to sit through tedious lectures. Short and sweet, zero fluff, every slide gave valuable info with over-explaining. Yes, the slides are plain and the voiceover lacks the enthusiasm typically associated with more engaging instructors, but hey, its actually a testament to the just-right tone this presentation had. Very surprised this author doesn't have a wider portfolio of healthcare analytics courses at Udemy.
By Lakshya Srivastava on 9/27/2020
The course has been crafted with a blend of simplicity in articulation and comprehensive delivery of most of the important health data concepts that are not just theoretical but are quite practical and actionable for a working professional in Healthcare. Would look forward to more courses on these themes.
By Mahlet Zewdu on 7/17/2019
The instructor is very knowledgeable and a good intro to Health Data. I was considering getting a certificate in HDA and I think this gives me a visibility but I am still not sure if I could take the exam. I am wondering is there more classes, more in detail, ways to take a pre-test. I would suggest quiz in between each lesson. I will also need to visit all the links in the course and I will be able to see after additional studies what steps I will take. Thank you. Great JOb!
Quality Score
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Overall Score : 90 / 100






