Launch your career in Clinical Data Science. A six-course introduction to using clinical data to improve the care of tomorrow's patients.

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Laura K. Wiley, PhD 另外 +1 位授課教師

提供方

Clinical Data Science 專項課程科罗拉多大学系统

您將學到的內容有

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.

您將獲得的技能

Implementation ScienceClinical Text MiningR ProgrammingComputational PhenotypingData Quality Assessment

關於此專項課程

6,954 次近期查看

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.

應用的學習項目

Each course in the specialization culminates in a final project that is a practical application of the tools and technique you learned throughout the course. In these projects you will apply your skills to a real clinical data set using the free, fully hosted online data science environment provided by our industry partner, Google Cloud.

學生職業成果

20%

完成此專項課程後開始了新的職業。

25%

加薪或升職。

可分享的證書

完成後獲得證書

100% 在線課程

立即開始，按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

Some programming experience and an interest in Clinical Data Science are required.

完成課程大約需要 7 個月

建議進度：2 小時/週

英語（English）

字幕：英語（English）, 法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 西班牙語（Spanish）

學生職業成果

20%

完成此專項課程後開始了新的職業。

25%

加薪或升職。

可分享的證書

完成後獲得證書

100% 在線課程

立即開始，按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

Some programming experience and an interest in Clinical Data Science are required.

完成課程大約需要 7 個月

建議進度：2 小時/週

英語（English）

字幕：英語（English）, 法語（French）, （歐洲人講的）葡萄牙語, 俄語（Russian）, 西班牙語（Spanish）

此專項課程包含 6 門課程

課程1

課程 1

Introduction to Clinical Data Science

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274 個評分

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82 條評論

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.

課程2

課程 2

Clinical Data Models and Data Quality Assessments

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51 個評分

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15 條評論

This course aims to teach the concepts of clinical data models and common data models. Upon completion of this course, learners will be able to interpret and evaluate data model designs using Entity-Relationship Diagrams (ERDs), differentiate between data models and articulate how each are used to support clinical care and data science, and create SQL statements in Google BigQuery to query the MIMIC3 clinical data model and the OMOP common data model.

課程3

課程 3

Identifying Patient Populations

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30 個評分

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10 條評論

This course teaches you the fundamentals of computational phenotyping, a biomedical informatics method for identifying patient populations. In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. You will also learn how to program different data manipulations and combinations to increase the complexity and improve the performance of your algorithms. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop a computational phenotyping algorithm to identify patients who have hypertension. You will complete this work using a real clinical data set while using a free, online computational environment for data science hosted by our Industry Partner Google Cloud.

課程4

課程 4

Clinical Natural Language Processing

3.5

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17 個評分

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9 條評論

This course teaches you the fundamentals of clinical natural language processing (NLP). In this course you will learn the basic linguistic principals underlying NLP, as well as how to write regular expressions and handle text data in R. You will also learn practical techniques for text processing to be able to extract information from clinical notes. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop text processing algorithms to identify diabetic complications from clinical notes. You will complete this work using a free, online computational environment for data science hosted by our Industry Partner Google Cloud.

講師

Laura K. Wiley, PhD

Assistant Professor

Division of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus

14,856 個學生

6 門課程

Michael G. Kahn, MD, PhD

Professor of Clinical Informatics

Department of Pediatrics, Anschutz Medical Campus

4,490 個學生

2 門課程

提供方

科罗拉多大学系统

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.

行業合作夥伴

常見問題

完成专项课程后我会获得大学学分吗？
此专项课程不提供大学学分，但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校，了解详情。Coursera 上的在线学位和 Mastertrack™ 证书提供获得大学学分的机会。
Can I just enroll in a single course?
如果订阅，您可以获得 7 天免费试听，在此期间，您可以取消课程，无需支付任何罚金。在此之后，我们不会退款，但您可以随时取消订阅。请阅读我们完整的退款政策。
我可以只注册一门课程吗？
可以！点击您感兴趣的课程卡开始注册即可。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分，系统会自动为您订阅完整的专项课程。访问您的学生面板，跟踪您的进度。
Can I take the course for free?
是的，Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请，申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤，包括毕业项目。了解更多。
我可以免费学习课程吗？
完成注册课程后，您可以学习专项课程中的所有课程，并且完成作业后可以获得证书。如果您只想阅读和查看课程内容，可以免费旁听该课程。如果您无法承担课程费用，可以申请助学金。
此课程是 100% 在线学习吗？是否需要现场参加课程？
此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。
How long does it take to complete the Specialization?
The specialization will take approximately 6 months to complete. However students can take the specialization at their own pace.
完成专项课程需要多长时间？
Some experience or awareness of programming and statistical concepts are helpful. However, Course 1 - Introduction to Clinical Data Science, provides learners with enough training in SQL and R to complete the specialization.
Do I need to take the courses in a specific order?
We highly recommend that you take Course 1 - Introduction to Clinical Data Science, first as it is meant to provide basic training and information useful for Courses 2-6. Although you may take Course 2-6 in any order, it may be helpful to take them sequentially.
Will I earn university credit for completing the Specialization?
This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more. Additionally, certification in this specialization may enhance professional credentials and attribute to new jobs, salary increases, or promotions.

還有其他問題嗎？請訪問學生幫助中心。