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.
このコースはClinical Data Science の専門講座に属します。
Introduction to Clinical Data Science
提供：
1,661 登録済み
このコースについて
14,915 最近の表示
学習内容
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.
シラバス - 本コースの学習内容
週
11時間で修了
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!
4件のビデオ （合計16分）, 5 readings, 2 quizzes
4件のビデオ
Introduction to Clinical Data Science3 分
Clinical Data Regulations5 分
Introduction to the MIMIC-III Data Set4 分
5件の学習用教材
Introduction to Specialization Instructors5 分
Course Policies5 分
Accessing Course Data and Technology Platform15 分
Regulations and Health Privacy Resources10 分
MIMIC-III Resources and References10 分
2の練習問題
Week 1 Practice Quiz12 分
Week 1 Assessment16 分
週
21時間で修了
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.
7件のビデオ （合計35分）, 2 quizzes
7件のビデオ
Encounters4 分
Billing Data5 分
Laboratory Data7 分
Medication Data7 分
Clinical Observation Data1 分
Demographics, Social and Family History2 分
2の練習問題
Week 2 Practice Quiz8 分
Week 2 Assessment16 分
週
33時間で修了
Tools: SQL
Develop basic skills in SQL (Structured Query Language) and query the real clinical data set used in the Clinical Data Science Specialization.
5件のビデオ （合計18分）, 6 readings, 2 quizzes
5件のビデオ
Querying Tables with SQL2 分
Joining Tables with SQL4 分
Aggregating Data with SQL4 分
Introduction to Google BigQuery3 分
6件の学習用教材
Introduction and Learning Objectives for Programming Examples and Exercises5 分
Guide to Google BigQuery Interface10 分
Querying and Aggregating Individual Tables with Google BigQuery 45 分
Querying and Joining Multiple Tables with Google BigQuery30 分
Joining Tables with SQL15 分
Note about the Assessment2 分
2の練習問題
Programming Exercises Practice Quiz24 分
Week 3 Assessment20 分
週
42時間で修了
Tools: R and the Tidyverse
Learn how to use the tidyverse to implement your Clinical Data Science Workflow in R.
2件のビデオ （合計6分）, 3 readings, 2 quizzes
3件の学習用教材
Working with RMarkdown Documents10 分
The Data Scientist's Workflow15 分
Note about the Assessment2 分
2の練習問題
Programming Exercises Practice Quiz22 分
Week 4 Assessment
4.7
17件のレビュー50%
コース終了後に新しいキャリアをスタートした
33%
コースが具体的なキャリアアップにつながった
人気のレビュー
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.
The material is presented very clearly, and exercises are easy to understand and complete but really test one's knowledge of the material.
講師
Laura K. Wiley, PhD
Assistant ProfessorDivision of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus
University of Colorado Systemについて
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.
Clinical Data Scienceの専門講座について
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.
よくある質問
いつ講座や課題にアクセスできるようになりますか？
修了証に登録すると、すべてのビデオ、テスト、およびプログラミング課題（該当する場合）にアクセスできます。ピアレビュー課題は、セッションが開始してからのみ、提出およびレビューできます。購入せずにコースを検討することを選択する場合、特定の課題にアクセスすることはできません。
この専門講座をサブスクライブすると何を行うことができるようになりますか？
コースに登録する際、専門講座のすべてのコースにアクセスできます。コースの完了時には修了証を取得できます。電子修了証が成果のページに追加され、そこから修了証を印刷したり、LinkedInのプロフィールに追加したりできます。コースの内容の閲覧のみを希望する場合は、無料でコースを聴講できます。
返金ポリシーについて教えてください。
学資援助はありますか？
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.
さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。
コーセラは、世界トップクラスの教育を世界中に配信しています。
最高峰の大学や組織とのパートナーシップに基づくオンラインコースが提供されています。
© 2019 Coursera (株)すべての権利予約します。
