About this Course

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Learner Career Outcomes

25%

started a new career after completing these courses

17%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

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

  • 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.

Learner Career Outcomes

25%

started a new career after completing these courses

17%

got a tangible career benefit from this course

Shareable Certificate

Earn a Certificate upon completion

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

Offered by

University of Colorado System logo

University of Colorado System

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Welcome to the Clinical Data Science Specialization

1 hour to complete
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

Week 2

1 hour to complete

Introduction: Clinical Data

1 hour to complete
7 videos (Total 35 min)
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

Week 3

3 hours to complete

Tools: SQL

3 hours to complete
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

Week 4

2 hours to complete

Tools: R and the Tidyverse

2 hours to complete
2 videos (Total 6 min), 3 readings, 2 quizzes
2 videos
Introduction to RStudio3m
3 readings
Working with RMarkdown Documents10m
The Data Scientist's Workflow1h 15m
Note about the Assessment2m
2 practice exercises
Programming Exercises Practice Quiz22m
Week 4 Assessment
4.6
60 ReviewsChevron Right

Top reviews from Introduction to Clinical Data Science

By ASOct 29th 2019

Very nice overview of a very complex topic. Somewhat superficial in some areas, but this is an introduction class and covered everything to an acceptable degree. A very intimidating topic.

By ETOct 15th 2019

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.

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 purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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.