Introduction to Clinical Data Science

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.

• 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.

Syllabus

Syllabus - What you will learn from this course
Week 1
Welcome to the Clinical Data Science Specialization
Week 2
Introduction: Clinical Data
Week 3
Tools: SQL
Week 4
Tools: R and the Tidyverse

FAQ

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:

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.

Reviews

I found Rstudio very confusing as there was no proper introduction or hands on example. Took a great deal in going through the links and addressing.

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.

This was a good general overview however there should have been more of a practice task based system when it came to the coding or make the coding a different segment altogether

Very helpful course, with clear reading notes and assessments. Got good knowledge in basic of clinical data science and mimic3 data as well.