About this Course

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Shareable Certificate

Earn a Certificate upon completion

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Start instantly and learn at your own schedule.

Flexible deadlines

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Intermediate Level

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

Approx. 16 hours to complete

Suggested: 10 hours/week...

English

Subtitles: English

What you will learn

  • 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

Skills you will gain

Predictive Analyticsmedical statisticsR ProgrammingRegression Analysis

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

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

Approx. 16 hours to complete

Suggested: 10 hours/week...

English

Subtitles: English

Offered by

Universiteit Leiden logo

Universiteit Leiden

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Welcome to Leiden University

2 hours to complete
2 videos (Total 7 min), 6 readings
2 videos
How to succeed in your online class?2m
6 readings
Meet the instructors & the team6m
Leiden University: Facts & Figures10m
About this course10m
Glossary10m
Community Guidelines 5m
What is your learning path?5m
3 hours to complete

Prediction for prevention, diagnosis, and effectiveness

3 hours to complete
6 videos (Total 28 min)
6 videos
Introduction to predictive analytics6m
Predictive analytics in prevention4m
Predictive analytics diagnosis7m
Predictive analytics in intervention5m
To conclude1m
6 practice exercises
Introductory assignment30m
Prevention assignment30m
Diagnosis assignment20m
Intervention assignment20m
Reflect on your goals10m
Test your knowledge20m
Week
2

Week 2

4 hours to complete

Modeling Concepts

4 hours to complete
6 videos (Total 30 min), 3 readings, 3 quizzes
6 videos
Design issues5m
Sample size7m
Overfitting7m
Bootstrapping6m
To conclude1m
3 readings
Is caring about measurement error an error?20m
Sample size30m
Bootstrapping 101 in R30m
3 practice exercises
Testimation bias - an interactive introduction1h
Reflect on your goals10m
Test your knowledge30m
Week
3

Week 3

4 hours to complete

Model development

4 hours to complete
6 videos (Total 30 min), 4 readings, 2 quizzes
6 videos
Missing values7m
Continuous predictors8m
Model selection6m
Model estimation5m
To conclude1m
4 readings
Bias, precision and simple imputation of missing values40m
Dealing with non-linearity30m
Model selection25m
Model estimation30m
2 practice exercises
Reflect on your goals10m
Test your knowledge
Week
4

Week 4

5 hours to complete

Model validation and updating

5 hours to complete
6 videos (Total 33 min), 2 readings, 5 quizzes
6 videos
Performance measures6m
Validation approaches7m
Updating approaches5m
Predictive analytics for Aruba11m
To conclude1m
2 readings
Performance I - Statistical measures1h
Performance II - Evaluation of usefulness1h
5 practice exercises
Recall - Performance I15m
Validation cardiovascular disease30m
Reflect on your goals10m
Test your knowledge20m
Final Assessment1h

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.