Introduction to Clinical Data Science
Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist!This specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to augment learner's existing skills in statistics and programming to provide examples of specific challenges, tools, and appropriate interpretations of clinical data.By completing this specialization you will know how to
Created by: Laura K. Wiley
Quality Score
Overall Score : 94 / 100
Course Description
Instructor Details
- 4.7 Rating
39 Reviews
Laura K. Wiley
Dr. Wiley develops methods for using data from electronic health records for precision medicine discovery and implementation. She developed computational phenotyping algorithms for use in EHR-linked biobanks, investigated new algorithms for precision dosing of warfarin in African Americans, and has served as the lead informatician on an NIH Cancer Moonshot-funded project to create a comprehensive tobacco cessation service at the University of Colorado Cancer Center. She is a principle investigator in the Colorado Center for Personalized Medicine and an Assistant Professor in the Division of medical Informatics and Personalized Medicine at the University of Colorado Anschutz Medical Campus. She has served as an ex officio member of the American Medical Informatics Association Board of Directors and is Vice-Chair of the AMIA 2019 Annual Symposium.
More courses by Laura K. Wiley
Clinical Data Models and Data Quality Assessments
4.1 (10 Reviews)
Provider: Coursera
Time: 21h
Free
Reviews
By Andrés L on 6-Nov-19
The 2 first week were nice, the 3rd was good enough, the directions were not very clear and I had to spend certain time to find out what and how I had to do, the 4th week was awful, the directions were not friendly and I spent too much time trying to make RMarkdown work and doing the excercises. However I finally could complete it, I think the course meet the objective as an introduction course, the topic is complex but very interesting. Bigquery and RMarkdown access provided for this course was very useful and it was a very good experience.
By Alexander S on 29-Oct-19
Very nice overview of a very complex topic. Somewhat superficial in some areas, but this is an introduction class and covered everything to an acceptable degree. A very intimidating topic.
By Enoch T on 15-Oct-19
One great course I will recommend to people. Had the chance to learn so much, especially about the MIMIC III dataset as I am using it for a project in AI. Thank you for this course.
By Arens J R M on 11-Oct-19
I really enjoyed everything in this class, I really loved it. It was an accumulation of new skills all along, almost everything was new to me: Google BigQuery, SQL, R language etc. Thank you for this opportunity!
By Vu T T T on 14-Sep-19
A good introduction to clinical data science course and useful for those who wants to tap into the field. However, prior knowledge of R is required as some concepts/functions are not fully explained in the course.
By Hahn S on 8-Sep-19
Very well organized! Explanations are good and detailed enough, most examples are helpful for understanding important concepts and acquiring essential skills and knowledge. I would strongly recommend this lecture to ones who are not in the medical/healthcare field, but need to work on clinical data. Thank you!
By Govindarajula A k on 1-Sep-19
When I started the course I was in impression that this would be like another run of the mill kind but after going through the modules, my perception got changed. I really picked up many terms and understood how data science techniques operate in Clinical domain. Certainly this course makes you to learn many new concepts, make you actually work on them. Planning to complete the remaining modules
By DEBRAH D A on 28-Aug-19
Before i started this course , i had no idea about SQL . this course introduced me to SQL, i did further research and learning on SQL, I was excited about it because of how interesting it is.Laura the Tutor is so amazing and its very easy to follow her.the only thing about this course content that i wish for was that if the SQL programming language part could be taught more. i had to use another platform to learn more about it. that is how i was able to finish most of assessment 3 and 4. but in all it is a great course and has opened up so many opportunities for me
By Fidel G on 15-Aug-19
Great introduction to Clinical Data Science which provides you a bird view of how to prepare your mind and senses when you are tackle with the unknown of what to do and how to prepare your clinical data.
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