University of Colorado System
Clinical Data Science Specialization
University of Colorado System

Clinical Data Science Specialization

Launch your career in Clinical Data Science. A six-course introduction to using clinical data to improve the care of tomorrow's patients.

Taught in English

Some content may not be translated

Laura K. Wiley, PhD
Michael G. Kahn, MD, PhD

Instructors: Laura K. Wiley, PhD

9,392 already enrolled

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Specialization - 6 course series

Get in-depth knowledge of a subject

4.4

(330 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Specialization - 6 course series

Get in-depth knowledge of a subject

4.4

(330 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

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  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Colorado System
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Specialization - 6 course series

Introduction to Clinical Data Science

Course 18 hours4.5 (392 ratings)

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.

Clinical Data Models and Data Quality Assessments

Course 217 hours4.2 (60 ratings)

What you'll learn

Identifying Patient Populations

Course 313 hours4.5 (37 ratings)

What you'll learn

  • Create a computational phenotyping algorithm

  • Assess algorithm performance in the context of analytic goal.

  • Create combinations of at least three data types using boolean logic

  • Explain the impact of individual data type performance on computational phenotyping.

Clinical Natural Language Processing

Course 412 hours3.6 (21 ratings)

What you'll learn

  • Recognize and distinguish the difference in complexity and sophistication of text mining, text processing, and natural language processing.

  • Write basic regular expressions to identify common clinical text.

  • Assess and select note sections that can be used to answer analytic questions.

  • Write R code to search text windows for other keywords and phrases to answer analytic questions.

What you'll learn

Advanced Clinical Data Science

Course 64 hours4.8 (21 ratings)

What you'll learn

Instructors

Laura K. Wiley, PhD
University of Colorado System
6 Courses27,033 learners
Michael G. Kahn, MD, PhD
University of Colorado System
2 Courses8,714 learners

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