About this Course

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Shareable Certificate

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Start instantly and learn at your own schedule.

Flexible deadlines

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Intermediate Level

Some programming experience in any language.

Approx. 13 hours to complete

English

Subtitles: English

What you will 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.

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. 13 hours to complete

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

2 hours to complete

Introduction: Identifying Patient Populations

2 hours to complete
5 videos (Total 23 min), 9 readings, 2 quizzes
5 videos
Introduction to Computational Phenotyping5m
Introduction to Manual Record Review4m
Manual Record Review: Selecting Reviewers and Records6m
Manual Record Review: Tools and Techniques5m
9 readings
Introduction to Specialization Instructors5m
Course Policies5m
Accessing Course Data and Technology Platform15m
Introduction to Course Example15m
Introduction to Manual Record Review10m
Methods - Selecting Reviewers10m
Methods - Selecting Records for Review10m
Methods - Creating Review Instruments and Protocols10m
Methods - Assessing Review Quality10m
2 practice exercises
Week 1 Practice Quiz8m
Week 1 Assessment16m
Week
2

Week 2

3 hours to complete

Tools: Clinical Data Types

3 hours to complete
5 videos (Total 19 min), 2 readings, 2 quizzes
5 videos
Computational Phenotyping: Billing Data5m
Computational Phenotyping: Laboratory Data3m
Computational Phenotyping: Clinical Observations2m
Computational Phenotyping: Medications3m
2 readings
Testing Individual Data Types1h 30m
Note about the Assessment2m
2 practice exercises
Programming Exercises Practice Quiz30m
Week 2 Assessment18m
Week
3

Week 3

3 hours to complete

Techniques: Data Manipulations and Combinations

3 hours to complete
2 videos (Total 15 min), 2 readings, 2 quizzes
2 videos
Combining Multiple Data Types5m
2 readings
Data Manipulations1h 30m
Data Combinations45m
2 practice exercises
Programming Exercises Practice Quiz30m
Week 3 Assessment25m
Week
4

Week 4

1 hour to complete

Techniques: Algorithm Selection and Portability

1 hour to complete
1 video (Total 4 min), 1 reading, 1 quiz
1 reading
Assessing Algorithmic Accuracy, Complexity, and Portability25m
1 practice exercise
Week 4 Assessment20m

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.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

  • 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.