About this Course

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Flexible deadlines
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Beginner Level

No previous statistical knowledge is needed, just basic mathematical skills.

Approx. 20 hours to complete
English
Subtitles: English

What you will learn

  • Knows (the value of) all aspects of data management and acknowledge the importance of initial data analysis.

  • Knows the pros and cons of statistical methods and can choose the appropriate data analysis approach in common health related problems.

  • Is able to interpret statistical results and to draw responsible conclusions.

Skills you will gain

R ProgrammingData AnalysisRegression AnalysisData ReportingStatistical Data
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.
Beginner Level

No previous statistical knowledge is needed, just basic mathematical skills.

Approx. 20 hours to complete
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 Responsible Data Analysis

2 hours to complete
2 videos (Total 4 min), 6 readings
2 videos
How to succeed in your online class?2m
6 readings
Meet the instructors & the team10m
Leiden University: Facts & Figures10m
About this Course10m
Glossary10m
Community Guidelines 5m
What is your learning path?5m
4 hours to complete

From Individuals to Data

4 hours to complete
6 videos (Total 33 min), 4 readings, 6 quizzes
6 videos
Structured data collection6m
Data privacy and security8m
Data description8m
Initial data analysis7m
To conclude1m
4 readings
Structured data collection in practice30m
Privacy and security in practice15m
Case Study: Descriptive Statistics40m
Case study: Initial data analysis in practice20m
6 practice exercises
Practice quiz20m
Practice Quiz20m
R exercise15m
R exercise: Initial data analysis30m
Reflect on your goals10m
Test your knowledge20m
Week
2

Week 2

4 hours to complete

From data to information I: statistical inference

4 hours to complete
6 videos (Total 37 min), 4 readings, 6 quizzes
6 videos
Statistical Inference9m
Fundamentals of hypothesis testing7m
Choosing the right statistical test8m
Sample size calculation7m
To conclude1m
4 readings
Confidence intervals in practice20m
Relation between p-values and confidence intervals30m
Hypothesis testing in practice25m
Case study: Sample size calculation in practice30m
6 practice exercises
Practice quiz statistical interference20m
Practice quiz hypothesis testing15m
Practice quiz: Which test?15m
Practice quiz: Sample size15m
Reflect on your goals10m
Test your knowledge20m
Week
3

Week 3

5 hours to complete

From data to information II: regression techniques

5 hours to complete
6 videos (Total 36 min), 5 readings, 6 quizzes
6 videos
Simple linear regression8m
Multiple linear regression7m
Logistic regression7m
Cox proportional hazards regression9m
To conclude1m
5 readings
Case study: Simple linear regression in practice30m
Dealing with binary explanatory variables
Case study: Multiple linear regression in practice15m
Case study: Logistic regression in practice25m
Case study: Cox proportional hazards regression in practice30m
6 practice exercises
R - exercise: Simple linear regression15m
R exercise: Multiple linear regression30m
R exercise: Logistic regression30m
R-exercise: Cox proportional hazards regression30m
Reflect on your goals10m
Test your knowledge20m
Week
4

Week 4

6 hours to complete

From information to knowledge

6 hours to complete
7 videos (Total 41 min), 4 readings, 4 quizzes
7 videos
Are most research findings false?8m
Interview12m
Data alone does not tell the whole story7m
Good statistical practice7m
To conclude1m
Course Conclusion56s
4 readings
The Likelihood of Irreproducible Research45m
Abandoning p-values?30m
Understanding Simpson's paradox15m
Why do we need to plan ahead?30m
4 practice exercises
Practice quiz20m
Reflect on your goals10m
Test your knowledge30m
Final assessment1h 30m

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