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.
This course is part of the Clinical Data Science Specialization
Introduction to Clinical Data Science
Offered By
About this Course
4.7
27 ratings
What you will learn
Describe how each type of clinical data are generated, specifically outlining who creates the data, when and why the data are generated.
Write SQL code to combine two or more tables using database joins.
Write R code to manipulate and tidy data including: selecting columns, filtering rows, and joining data sets.
Write markdown formatted text and combine with R code in RMarkdown documents.
Syllabus - What you will learn from this course
Week
11 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
21 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
33 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
42 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
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 ReviewsTop Reviews
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.
Great introduction to clinical data science covering a range of topics such as informatics, SQL, data science, R and the R Tidyverse.
Instructor
Laura K. Wiley, PhD
Assistant ProfessorDivision 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.
Frequently Asked Questions
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
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.
What is the refund policy?
Is financial aid available?
I live in an area that restricts access to Google products. Will I be able to complete the specialization?
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.
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