This course is part of the Clinical Data Science Specialization

4.6
stars
340 ratings

Laura K. Wiley, PhD

14,635 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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Start instantly and learn at your own schedule.

Course 1 of 6 in the

Clinical Data Science Specialization

Intermediate Level

Some programming experience in any language.

Approx. 8 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

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.

Course 1 of 6 in the

Clinical Data Science Specialization

Intermediate Level

Some programming experience in any language.

Approx. 8 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

Instructor

Instructor rating

4.61/5 (83 Ratings)

Laura K. Wiley, PhD

Assistant Professor

Division of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus

21,045 Learners

6 Courses

Offered by

University of Colorado System

The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.

Syllabus - What you will learn from this course

Week

Week 1

2 hours to complete

Welcome to the Clinical Data Science Specialization

Learn what clinical data science is all about and get access to the free technology environment hosted by Google Cloud!

2 hours to complete

4 videos (Total 16 min), 5 readings, 2 quizzes

4 videos

Welcome to Introduction to Clinical Data Science1m

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

Week 2

1 hour to complete

Introduction: Clinical Data

Clinical data are complex. Walk through the four-W's of clinical data to understand where they come from and what they look like.

1 hour to complete

7 videos (Total 35 min)

Week

Week 3

3 hours to complete

Tools: SQL

Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization.

3 hours to complete

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

5 videos

Introduction to Databases3m

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

Week 4

2 hours to complete

Tools: R and the Tidyverse

Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R.

2 hours to complete

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

Reviews

4.6

98 reviews

5 stars
69.38%
4 stars
23.03%
3 stars
4.37%
2 stars
2.04%
1 star
1.16%

TOP REVIEWS FROM INTRODUCTION TO CLINICAL DATA SCIENCE

by MWJun 23, 2019

I really enjoyed this class. I had to go slowly because I was busy, but it was just the right amount of information for me.

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 VDApr 25, 2020

Very Useful course.

It would be helpful if there were some extra Videos in the Week 4: R part like in Week 3 :SQL.

by FMFeb 11, 2019

Easy to understand, very professional and studying material is clear and relevant. I definitely recommend this course to jump into the clinical and healthcare data science world.

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.

Introduction to Clinical Data Science