About this Course
4.7
28 ratings
7 reviews

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Some programming experience in any language.

Approx. 11 hours to complete

Suggested: 4 weeks of study, 1-3 hours/week...

English

Subtitles: English

What you will learn

  • Check

    Describe how each type of clinical data are generated, specifically outlining who creates the data, when and why the data are generated.

  • Check

    Write SQL code to combine two or more tables using database joins.

  • Check

    Write R code to manipulate and tidy data including: selecting columns, filtering rows, and joining data sets.

  • Check

    Write markdown formatted text and combine with R code in RMarkdown documents.

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Some programming experience in any language.

Approx. 11 hours to complete

Suggested: 4 weeks of study, 1-3 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Welcome to the Clinical Data Science Specialization

Learn what clinical data science is all about and get access to the free technology environment hosted by Google Cloud!...
4 videos (Total 16 min), 5 readings, 2 quizzes
4 videos
Introduction to Clinical Data Science3m
Clinical Data Regulations5m
Introduction to the MIMIC-III Data Set4m
5 readings
Introduction to Specialization Instructors5m
Course Policies5m
Accessing Course Data and Technology Platform15m
Regulations and Health Privacy Resources10m
MIMIC-III Resources and References10m
2 practice exercises
Week 1 Practice Quiz12m
Week 1 Assessment16m
Week
2
1 hour to complete

Introduction: Clinical Data

Clinical data are complex. Walk through the four-W's of clinical data to understand where they come from and what they look like. ...
7 videos (Total 35 min), 2 quizzes
7 videos
Encounters4m
Billing Data5m
Laboratory Data7m
Medication Data7m
Clinical Observation Data1m
Demographics, Social and Family History2m
2 practice exercises
Week 2 Practice Quiz8m
Week 2 Assessment16m
Week
3
3 hours to complete

Tools: SQL

Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization....
5 videos (Total 18 min), 6 readings, 2 quizzes
5 videos
Querying Tables with SQL2m
Joining Tables with SQL4m
Aggregating Data with SQL4m
Introduction to Google BigQuery3m
6 readings
Introduction and Learning Objectives for Programming Examples and Exercises5m
Guide to Google BigQuery Interface10m
Querying and Aggregating Individual Tables with Google BigQuery 45m
Querying and Joining Multiple Tables with Google BigQuery30m
Joining Tables with SQL15m
Note about the Assessment2m
2 practice exercises
Programming Exercises Practice Quiz24m
Week 3 Assessment20m
Week
4
2 hours to complete

Tools: R and the Tidyverse

Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R. ...
2 videos (Total 6 min), 3 readings, 2 quizzes
2 videos
Introduction to RStudio3m
3 readings
Working with RMarkdown Documents10m
The Data Scientist's Workflow15m
Note about the Assessment2m
2 practice exercises
Programming Exercises Practice Quiz22m
Week 4 Assessment
4.7
7 ReviewsChevron Right

Top Reviews

By FMFeb 12th 2019

Easy to understand, very professional and studying material is clear and relevant. I definitely recommend this course to jump into the clinical and healthcare data science world.

By SRMar 8th 2019

Great introduction to clinical data science covering a range of topics such as informatics, SQL, data science, R and the R Tidyverse.

Instructor

Avatar

Laura K. Wiley, PhD

Assistant Professor
Division of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus

About University of Colorado System

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....

About the Clinical Data Science Specialization

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: 1) understand electronic health record data types and structures, 2) deploy basic informatics methodologies on clinical data, 3) provide appropriate clinical and scientific interpretation of applied analyses, and 4) anticipate barriers in implementing informatics tools into complex clinical settings. You will demonstrate your mastery of these skills by completing practical application projects using real clinical data. This specialization is supported by our industry partnership with Google Cloud. Thanks to this support, all learners will have access to a fully hosted online data science computational environment for free! Please note that you must have access to a Google account (i.e., gmail account) to access the clinical data and computational environment....
Clinical Data Science

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • Unfortunately at this time we can only allow students who have access to Google services (e.g., a gmail account) to complete the specialization. This is because we give students access to real clinical data and our privacy protections only allow data sharing through the Google BigQuery environment.

More questions? Visit the Learner Help Center.