課程信息

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中級

Basic familiarity with R, knowledge of basic statistical concepts. Completing 'Population Health: Responsible Data Analysis' beforehand recommended.

完成時間大約為17 小時
英語(English)
字幕:英語(English)

您將學到的內容有

  • Understand the role of predictive analytics for prevention, diagnosis, and effectiveness

  • Explain key concepts in prediction modelling: appropriate study design, adequate sample size and overfitting

  • Understand important issues in model development, such as missing data, non-linear relations and model selection

  • Know about ways to assess model quality through performance measures and validation

您將獲得的技能

Predictive Analyticsmedical statisticsR ProgrammingRegression Analysis
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
可靈活調整截止日期
根據您的日程表重置截止日期。
中級

Basic familiarity with R, knowledge of basic statistical concepts. Completing 'Population Health: Responsible Data Analysis' beforehand recommended.

完成時間大約為17 小時
英語(English)
字幕:英語(English)

提供方

莱顿大学 徽標

莱顿大学

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 2 小時

Welcome to Leiden University

完成時間為 2 小時
2 個視頻 (總計 7 分鐘), 6 個閱讀材料
2 個視頻
How to succeed in your online class?2分鐘
6 個閱讀材料
Meet the instructors & the team6分鐘
Leiden University: Facts & Figures10分鐘
About this course10分鐘
Glossary10分鐘
Community Guidelines 5分鐘
What is your learning path?5分鐘
完成時間為 3 小時

Prediction for prevention, diagnosis, and effectiveness

完成時間為 3 小時
6 個視頻 (總計 28 分鐘)
6 個視頻
Introduction to predictive analytics6分鐘
Predictive analytics in prevention4分鐘
Predictive analytics diagnosis7分鐘
Predictive analytics in intervention5分鐘
To conclude1分鐘
6 個練習
Introductory assignment30分鐘
Prevention assignment30分鐘
Diagnosis assignment20分鐘
Intervention assignment20分鐘
Reflect on your goals10分鐘
Test your knowledge20分鐘
2

2

完成時間為 4 小時

Modeling Concepts

完成時間為 4 小時
6 個視頻 (總計 30 分鐘), 3 個閱讀材料, 3 個測驗
6 個視頻
Design issues5分鐘
Sample size7分鐘
Overfitting7分鐘
Bootstrapping6分鐘
To conclude1分鐘
3 個閱讀材料
Is caring about measurement error an error?20分鐘
Sample size30分鐘
Bootstrapping 101 in R30分鐘
3 個練習
Testimation bias - an interactive introduction1小時
Reflect on your goals10分鐘
Test your knowledge30分鐘
3

3

完成時間為 4 小時

Model development

完成時間為 4 小時
6 個視頻 (總計 30 分鐘), 4 個閱讀材料, 2 個測驗
6 個視頻
Missing values7分鐘
Continuous predictors8分鐘
Model selection6分鐘
Model estimation5分鐘
To conclude1分鐘
4 個閱讀材料
Bias, precision and simple imputation of missing values40分鐘
Dealing with non-linearity30分鐘
Model selection25分鐘
Model estimation30分鐘
2 個練習
Reflect on your goals10分鐘
Test your knowledge
4

4

完成時間為 5 小時

Model validation and updating

完成時間為 5 小時
6 個視頻 (總計 33 分鐘), 2 個閱讀材料, 5 個測驗
6 個視頻
Performance measures6分鐘
Validation approaches7分鐘
Updating approaches5分鐘
Predictive analytics for Aruba11分鐘
To conclude1分鐘
2 個閱讀材料
Performance I - Statistical measures1小時
Performance II - Evaluation of usefulness1小時
5 個練習
Recall - Performance I15分鐘
Validation cardiovascular disease30分鐘
Reflect on your goals10分鐘
Test your knowledge20分鐘
Final Assessment1小時

常見問題

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    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, 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.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

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