About this Course

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Learner Career Outcomes

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Intermediate Level

Some programming experience in any language.

Approx. 8 hours to complete
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. 8 hours to complete
English

Offered by

Placeholder

University of Colorado System

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Welcome to the Clinical Data Science Specialization

2 hours 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 Quiz30m
Week 1 Assessment30m
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 Quiz30m
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 Quiz30m
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

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