Laura K. Wiley, PhD
This course aims to teach the concepts of clinical data models and common data models. Upon completion of this course, learners will be able to interpret and evaluate data model designs using Entity–Relationship Diagrams (ERDs), differentiate between data models and articulate how each are used to support clinical care and data science, and create SQL statements in Google BigQuery to query the MIMIC3 clinical data model and the OMOP common data model. The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.
Instructor Details
Courses : 3
Specification: Clinical Data Models and Data Quality Assessments
|
14 reviews for Clinical Data Models and Data Quality Assessments
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 20 hours |
| Year | 2019 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
FREE
William H –
Material was presented fairly well for the most part. The lecture videos had some small editing errors which looked a bit unprofessional. The workload was also a bit unbalanced there was very little structured hands on training prior to the capstone project which can appear daunting at first.
VIJAYA G –
Found very difficult to finish.
Angela B –
Great course.
qianmengxiao –
Good course, but the video is a bit too long, split into shorter video course
Mor K –
Gives a great understanding of ETL and the surrounding concepts from Zero. I personally found that a little boring, but for a total newbie to data and computers this is a perfect course.
Allison B –
Teaching was excellent, but I feel that the peer reviewed feedback model for the final project may not be the most helpful since they’re the only ones looking at your work (as opposed to an instructor). Additionally, there were quite a few typos in the quizzes
M. B T –
Contenu tres interessant dans l’ensemble, decouverte des bases publiques et des concepts construits autour de ces elements de la connaissance. Cette formation serait parfaite si la presentation etait plus claire, en tout cas pour un francais, moins repetitive et plus approfondie sur certains points. Les perspectives en connaissance partagee et connaissance induite (ML) seraient a explorer.
Vu T T T –
Good instructor who took time to explain and walked through each steps of the ETL process. Highly recommended.
Ling C –
Great course. Would be great if lecture slides can be provided.
Murali K –
What a great course!! Kudos to the professor for being so detail oriented!! I learned a great deal about the clinical data models from this course!!
Fidel G –
An excellent course that provides great guidelines for clinical data models. There are plenty of exercises to cement each block of learning material.
Han–Yu H –
very hands on course
Kabakov B –
Authors do not give a damn about it, there are more water than in average PhD thesis and as many practical skills as chicken has teeth. There are bloopers in course video that no one bothered to reshoot. Course listeners must do tasks, that should be done in SQL, in R and custom JAVA soft (which produces xlsx as output) and submit answers in pptx (sic!) to be peer reviewed. Due to peer review and lack of course listeners it could be hard to meet deadlines (I submitted my final task 2 weeks ago with forum campaign “let’s unite and help each other to review” but sill lack reviewers.) The only thing that is theirs and hardly available opensource is clinical models presentation but it is described in the same terms, but way shorter, in the two articles of one of the course authors.
Flora T M –
Very good course on the high level overview of data mapping & data profiling, data quality dimensions & data quality measures, & it required prerequisite knowledge/learning of SQL (BigQuery). This course was informative & not easy. I learned a lot.