Introduction to Clinical Data Science
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Introduction to Clinical Data Science
This course is part of Clinical Data Science Specialization
Instructor: Laura K. Wiley, PhD
26,843 already enrolled
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432 reviews
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432 reviews
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What you'll 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.
Skills you'll gain
Tools you'll learn
Details to know
8 assignments
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There are 4 modules in this course
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.
Learn what clinical data science is all about and get access to the free technology environment hosted by Google Cloud!
What's included
4 videos6 readings2 assignments
4 videos•Total 16 minutes
- Welcome to Introduction to Clinical Data Science•2 minutes
- Introduction to Clinical Data Science•4 minutes
- Clinical Data Regulations•6 minutes
- Introduction to the MIMIC-III Data Set•5 minutes
6 readings•Total 50 minutes
- Get help and meet other learners in this course. Join your discussion forums!•5 minutes
- Introduction to Specialization Instructors•5 minutes
- Course Policies•5 minutes
- Accessing Course Data and Technology Platform•15 minutes
- Regulations and Health Privacy Resources•10 minutes
- MIMIC-III Resources and References•10 minutes
2 assignments•Total 60 minutes
- Week 1 Practice Quiz•30 minutes
- Week 1 Assessment•30 minutes
Clinical data are complex. Walk through the four-W's of clinical data to understand where they come from and what they look like.
What's included
7 videos2 assignments
7 videos•Total 35 minutes
- Introduction to Clinical Data•5 minutes
- Encounters•5 minutes
- Billing Data•6 minutes
- Laboratory Data•8 minutes
- Medication Data•7 minutes
- Clinical Observation Data•2 minutes
- Demographics, Social and Family History•2 minutes
2 assignments•Total 46 minutes
- Week 2 Practice Quiz•30 minutes
- Week 2 Assessment•16 minutes
Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization.
What's included
5 videos6 readings2 assignments
5 videos•Total 18 minutes
- Introduction to Databases•4 minutes
- Querying Tables with SQL•2 minutes
- Joining Tables with SQL•5 minutes
- Aggregating Data with SQL•4 minutes
- Introduction to Google BigQuery•3 minutes
6 readings•Total 107 minutes
- Introduction and Learning Objectives for Programming Examples and Exercises•5 minutes
- Guide to Google BigQuery Interface•10 minutes
- Querying and Aggregating Individual Tables with Google BigQuery •45 minutes
- Querying and Joining Multiple Tables with Google BigQuery•30 minutes
- Joining Tables with SQL•15 minutes
- Note about the Assessment•2 minutes
2 assignments•Total 50 minutes
- Programming Exercises Practice Quiz•30 minutes
- Week 3 Assessment•20 minutes
Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R.
What's included
2 videos3 readings2 assignments
2 videos•Total 6 minutes
- Introduction to R and the Tidyverse•3 minutes
- Introduction to RStudio•3 minutes
3 readings•Total 87 minutes
- Working with RMarkdown Documents•10 minutes
- The Data Scientist's Workflow•75 minutes
- Note about the Assessment•2 minutes
2 assignments•Total 22 minutes
- Programming Exercises Practice Quiz•22 minutes
- Week 4 Assessment•0 minutes
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Showing 3 of 432
Reviewed on Feb 28, 2024
I was able to learn and practice SQL and R using Google BigQuery on Google Cloud, and used real-world clinical database.
Reviewed on Nov 15, 2020
The course is great overall. But when it comes to teaching SQL and R, there is too much to learn with just a few explanation. It is not easy for those who do not have background knowledge on those.
Reviewed on May 31, 2025
Really good! Some of the exams did not take some of the answers. Maybe because of Uppercase and Lowercase.
Overall, really good course!
Frequently asked questions
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.
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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.
More questions
Financial aid available,