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

( 39 Reviews )

Created by: Laura K. Wiley

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 94 / 100

Course Description

This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud. At the end of this course you will be prepared to embark on your clinical data science education journey, learning how to take data created by the healthcare system and improve the health of tomorrow's patients.

Time: 11h

Instructor Details

Laura K. Wiley

4.7 Rating
39 Reviews

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.

The Data Scientist's Toolbox (2019)

5.0 (792 Reviews)

Provider: Coursera
Time: 8h

Free

Python for Data Science (2017)

4.4 (9 Reviews)

Provider: edX

Free

Python A-Z: Python For Data Science With Real Exercises!

Python A-Z: Python For Data Science With Real Exercises! (2021)

4.5 (472 Reviews)

Provider: Udemy
Time: 11h

11.99

More Courses

More courses by Laura K. Wiley

Clinical Data Models and Data Quality Assessments
4.1 (10 Reviews)

- Provider: Coursera
- Time: 21h

Free

All courses by Laura K. Wiley

Reviews

4.7

39 total reviews

5 star 4 star 3 star 2 star 1 star

Write a Review

By justin c on 10-Aug-19

Great intro and ability to build a base for early script writing.

By AndrÃƒÂ©s 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 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 Adam R on 16-Jul-19

Good short introductory course. Clearly taught and scheduled.

By Valerie D M on 4-Feb-19

Overall very good. The instructor was clear and lectures were great. The introduction to R and Tidyverse was a little challenging in a reading format...if I had not had experience programming in SAS (limited albeit), I probably wouldn't have made it through the 4th module without additional resources. This is a lot of information and overall it was well organized, I'm really not sure how I would present it any differently.

By Robert W S on 4-Apr-19

Some material is inconsistent between the lectures and quizzes. Syntax of BigQuery does allow distinct queries, which was stated otherwise in the course material. Overall the content was good and was a nice introduction to the MIMICIII dataset.

By Kristopher N on 2-Apr-19

Good introduction to see if you want to progress through the rest of the program

By VIJAYA G on 18-Feb-19

I found Rstudio very confusing as there was no proper introduction or hands on example. Took a great deal in going through the links and addressing.

By Hyun J K on 14-Oct-19

It's a good course.

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 wagne.ibrahima@gmail.com on 11-Oct-19