This course is part of the Clinical Data Science Specialization

4.6
stars
367 ratings

Laura K. Wiley, PhD

16,332 already enrolled

Offered By

Clinical Data Science SpecializationUniversity of Colorado System

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 1 of 6 in the

Clinical Data Science Specialization

Intermediate Level

Some programming experience in any language.

Approx. 8 hours to complete

English

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 6 in the

Clinical Data Science Specialization

Intermediate Level

Some programming experience in any language.

Approx. 8 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.6/5 (90 Ratings)

Laura K. Wiley, PhD

Assistant Professor

Division of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus

23,372 Learners

6 Courses

Offered by

University of Colorado System

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Syllabus - What you will learn from this course

Week1

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

Welcome to Introduction to Clinical Data Science1mIntroduction to Clinical Data Science3mClinical Data Regulations5mIntroduction to the MIMIC-III Data Set4m

5 readings

Introduction to Specialization Instructors5mCourse Policies5mAccessing Course Data and Technology Platform15mRegulations and Health Privacy Resources10mMIMIC-III Resources and References10m

2 practice exercises

Week 1 Practice Quiz30mWeek 1 Assessment30m

Week2

Week 2

1 hour to complete

Introduction: Clinical Data

1 hour to complete

7 videos (Total 35 min)

Week3

Week 3

3 hours to complete

Tools: SQL

3 hours to complete

5 videos (Total 18 min), 6 readings, 2 quizzes

5 videos

Introduction to Databases3mQuerying Tables with SQL2mJoining Tables with SQL4mAggregating Data with SQL4mIntroduction to Google BigQuery3m

6 readings

Introduction and Learning Objectives for Programming Examples and Exercises5mGuide to Google BigQuery Interface10mQuerying and Aggregating Individual Tables with Google BigQuery 45mQuerying and Joining Multiple Tables with Google BigQuery30mJoining Tables with SQL15mNote about the Assessment2m

2 practice exercises

Programming Exercises Practice Quiz30mWeek 3 Assessment20m

Week4

Week 4

2 hours to complete

Tools: R and the Tidyverse

2 hours to complete

2 videos (Total 6 min), 3 readings, 2 quizzes

Reviews

4.6

107 reviews

5 stars
68.66%
4 stars
22.88%
3 stars
4.90%
2 stars
2.17%
1 star
1.36%

TOP REVIEWS FROM INTRODUCTION TO CLINICAL DATA SCIENCE

by KMSep 18, 2020

Weeks 1-3 were great. Nicely structured and easy to understand.W eek 4 seems a bit packed with lots of information. Enjoyed learning the course

by MKDec 12, 2020

A good overview of Clinical Data Science. The reading material covering SQL and R coding was cumbersome, difficult to follow, and did not contain any lectures.

by FEJan 18, 2020

Great course to get started into data science, clear cut explanations by Laura Wiley and assignments that make sense. Thank you!

by KYNov 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.

View all reviews

About the Clinical Data Science Specialization

Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist!

This specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to augment learner’s existing skills in statistics and programming to provide examples of specific challenges, tools, and appropriate interpretations of clinical data. By completing this specialization you will know how to: 1) understand electronic health record data types and structures, 2) deploy basic informatics methodologies on clinical data, 3) provide appropriate clinical and scientific interpretation of applied analyses, and 4) anticipate barriers in implementing informatics tools into complex clinical settings. You will demonstrate your mastery of these skills by completing practical application projects using real clinical data. This specialization is supported by our industry partnership with Google Cloud. Thanks to this support, all learners will have access to a fully hosted online data science computational environment for free! Please note that you must have access to a Google account (i.e., gmail account) to access the clinical data and computational environment.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. 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.
What will I get if I subscribe to this Specialization?
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. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
I live in an area that restricts access to Google products. Will I be able to complete the specialization?
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.

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Introduction to Clinical Data Science

About this Course

What you will learn