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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Clinical Data Science
von


Über diesen Kurs
Some programming experience in any language.
Was Sie lernen werden
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.
Some programming experience in any language.
von

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.
Lehrplan - Was Sie in diesem Kurs lernen werden
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!
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.
Tools: SQL
Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization.
Tools: R and the Tidyverse
Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R.
Bewertungen
- 5 stars69,55 %
- 4 stars23,28 %
- 3 stars4,17 %
- 2 stars1,79 %
- 1 star1,19 %
Top-Bewertungen von INTRODUCTION TO CLINICAL DATA SCIENCE
I encourage people to take this course. its real time and it equips with real skill.\n\nthe instructor is also so much great and into the point.
Great course to get started into data science, clear cut explanations by Laura Wiley and assignments that make sense. Thank you!
Very Useful course. It would be helpful if there were some extra Videos in the Week 4: R part like in Week 3 :SQL.
Very good course with quizzes that challenge a bit. Content is presented in a concise and didactically appropriate manner.
Über den Spezialisierung Clinical Data Science
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!

Häufig gestellte Fragen
Wann erhalte ich Zugang zu den Vorträgen und Aufgaben?
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Ist finanzielle Unterstützung möglich?
I live in an area that restricts access to Google products. Will I be able to complete the specialization?
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