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.
Этот курс входит в специализацию ''Специализация Clinical Data Science'
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Об этом курсе
Some programming experience in any language.
Чему вы научитесь
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.
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Система университетов штата Колорадо
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.
Программа курса: что вы изучите
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.
Рецензии
- 5 stars69,64 %
- 4 stars23,21 %
- 3 stars4,16 %
- 2 stars1,78 %
- 1 star1,19 %
Лучшие отзывы о курсе INTRODUCTION TO CLINICAL DATA SCIENCE
The material is presented very clearly, and exercises are easy to understand and complete but really test one's knowledge of the material.
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.
Great introduction to clinical data science covering a range of topics such as informatics, SQL, data science, R and the R Tidyverse.
I started out without any idea on how to navigate R Programming and by the end of this course is wasn't such a novice anymore.....
Специализация Clinical Data Science: общие сведения
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!

Часто задаваемые вопросы
Когда я получу доступ к лекциям и заданиям?
Что я получу, оформив подписку на специализацию?
Можно ли получить финансовую помощь?
I live in an area that restricts access to Google products. Will I be able to complete the specialization?
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