3,689 recent views
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

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

Approx. 21 hours to complete
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.
Beginner Level

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

Approx. 21 hours to complete
English

### Offered by 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
Meet the instructors & the team10m
Leiden University: Facts & Figures10m
Glossary10m
Community Guidelines 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
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
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
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
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
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
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
The Likelihood of Irreproducible Research45m
Abandoning p-values?30m
Why do we need to plan ahead?30m
4 practice exercises
Practice quiz20m