- Platform
- Coursera
- Provider
- University of London
- Effort
- 5-10 hours a week
- Length
- 6 weeks
- Language
- English
- Credentials
- Paid Certificate Available
- Course Link
Overview
We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes. Indeed, we should be on the look-out for "black swans" - low-probability high-impact events.
To study, or not to study? To invest, or not to invest? To marry, or not to marry?
While uncertainty makes decision-making difficult, it does at least make life exciting! If the entire future was known in advance, there would never be an element of surprise. Whether a good future or a bad future, it would be a known future.
In this course we consider many useful tools to deal with uncertainty and help us to make informed (and hence better) decisions - essential skills for a lifetime of good decision-making.
Key topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course.
Taught by
Dr James Abdey
We live in an uncertain and complex world, yet we continually have to make decisions in the present with uncertain future outcomes. Indeed, we should be on the look-out for "black swans" - low-probability high-impact events.
To study, or not to study? To invest, or not to invest? To marry, or not to marry?
While uncertainty makes decision-making difficult, it does at least make life exciting! If the entire future was known in advance, there would never be an element of surprise. Whether a good future or a bad future, it would be a known future.
In this course we consider many useful tools to deal with uncertainty and help us to make informed (and hence better) decisions - essential skills for a lifetime of good decision-making.
Key topics include quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course.
Syllabus
WEEK 1
Dealing with Uncertainty and Complexity in a Chaotic World
WEEK 2
Quantifying Uncertainty With Probability
WEEK 3
Describing The World The Statistical Way
WEEK 5
To p Or Not To p?
WEEK 6
Applications
WEEK 1
Dealing with Uncertainty and Complexity in a Chaotic World
WEEK 2
Quantifying Uncertainty With Probability
WEEK 3
Describing The World The Statistical Way
WEEK 5
To p Or Not To p?
WEEK 6
Applications
Taught by
Dr James Abdey