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.
Introduction to Clinical Data Science
Introduction to Clinical Data Science
This course is part of Clinical Data Science Specialization
Instructor: Laura K. Wiley, PhD
Sponsored by UNAM
20,678 already enrolled
Gain insight into a topic and learn the fundamentals.
4.5
(405 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 8 hours
Learn at your own pace
89%
Most learners liked this course
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.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
8 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Clinical Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
Learn what clinical data science is all about and get access to the free technology environment hosted by Google Cloud!
What's included
4 videos6 readings2 assignments
Clinical data are complex. Walk through the four-W's of clinical data to understand where they come from and what they look like.
What's included
7 videos2 assignments
Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization.
What's included
5 videos6 readings2 assignments
Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R.
What's included
2 videos3 readings2 assignments
Instructor
Instructor ratings
4.6 (104 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
Showing 3 of 405
4.5
405 reviews
- 5 stars
68.22%
- 4 stars
22.66%
- 3 stars
4.43%
- 2 stars
2.21%
- 1 star
2.46%
Recommended if you're interested in Data Science
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy