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.
What's included
8 videos6 readings1 assignment
Show info about module content
8 videos•Total 68 minutes
Welcome!•4 minutes
1.1 The Monty Hall Problem•9 minutes
1.2 Decision Making Under Uncertainty•11 minutes
1.3 Uncertainty in the News•10 minutes
1.4 Simplicity vs. Complexity - The Need for Models•11 minutes
1.5 Safe to Assume? Beware, When Model Assumptions Go Wrong!•9 minutes
1.6 Roadmap of the Course•9 minutes
Week One Summary and Key Takeaways•4 minutes
6 readings•Total 60 minutes
1.1 The Monty Hall Problem•10 minutes
1.2 Decision Making Under Uncertainty•10 minutes
1.3 Uncertainty in the News•10 minutes
1.4 Simplicity vs. Complexity - The Need for Models•10 minutes
1.5 Safe to Assume? Beware, When Model Assumptions Go Wrong!•10 minutes
1.6 Roadmap of the Course•10 minutes
1 assignment•Total 30 minutes
Week One Quiz•30 minutes
Quantifying Uncertainty With Probability
Module 2•3 hours to complete
Module details
What's included
7 videos6 readings1 assignment
Show info about module content
7 videos•Total 74 minutes
2.1 Probability Principles•13 minutes
2.2 Simple Probability Distributions•11 minutes
2.3 Expectation of Random Variables•13 minutes
2.4 Bayesian Updating•12 minutes
2.5 Parameters•9 minutes
2.6 The Distribution Zoo•11 minutes
Week Two Summary and Key Takeaways•5 minutes
6 readings•Total 60 minutes
2.1 Probability Principles•10 minutes
2.2 Simple Probability Distributions•10 minutes
2.3 Expectation of Random Variables•10 minutes
2.4 Bayesian Updating•10 minutes
2.5 Parameters•10 minutes
2.6 The Distribution Zoo•10 minutes
1 assignment•Total 30 minutes
Week Two Quiz•30 minutes
Describing The World The Statistical Way
Module 3•3 hours to complete
Module details
What's included
7 videos6 readings1 assignment1 peer review
Show info about module content
7 videos•Total 78 minutes
3.1 Classify Your Variables!•12 minutes
3.2 Data Visualisation•12 minutes
3.3 Descriptive Statistics - Measures of Central Tendency•13 minutes
3.4 Descriptive Statistics - Measures of Spread•11 minutes
3.5 The Normal Distribution•12 minutes
3.6 Variance of Random Variables•13 minutes
Week Three Summary and Key Takeaways•6 minutes
6 readings•Total 60 minutes
3.1 Classify Your Variables!•10 minutes
3.2 Data Visualisation•10 minutes
3.3 Descriptive Statistics - Measures of Central Tendency•10 minutes
3.4 Descriptive Statistics - Measures of Spread•10 minutes
3.5 The Normal Distribution•10 minutes
3.6 Variance of Random Variables•10 minutes
1 assignment
Week Three Quiz•0 minutes
1 peer review•Total 60 minutes
Assignment One: Descriptive Statistics•60 minutes
On Your Marks, Get Set, Infer!
Module 4•2 hours to complete
Module details
What's included
7 videos6 readings1 assignment
Show info about module content
7 videos•Total 78 minutes
4.1 Introduction to Sampling•13 minutes
4.2 Random Sampling•11 minutes
4.3 Further Random Sampling•13 minutes
4.4 Sampling Distributions•12 minutes
4.5 Sampling Distribution of the Sample Mean•11 minutes
4.6 Confidence Intervals•13 minutes
Week Four Summary and Key Takeaways•5 minutes
6 readings•Total 60 minutes
4.1 Introduction to Sampling•10 minutes
4.2 Random Sampling•10 minutes
4.3 Further Random Sampling•10 minutes
4.4 Sampling Distributions•10 minutes
4.5 Sampling Distribution of the Sample Mean•10 minutes
4.6 Confidence Intervals•10 minutes
1 assignment
Week Four Quiz•0 minutes
To p Or Not To p?
Module 5•3 hours to complete
Module details
What's included
7 videos6 readings1 assignment1 peer review
Show info about module content
7 videos•Total 77 minutes
5.1 Statistical Juries•12 minutes
5.2 Type I and Type II errors•12 minutes
5.3 P-values, Effect Size and Sample Size Influences•13 minutes
5.4 Testing a Population Mean Claim•11 minutes
5.5 The Central Limit Theorem•11 minutes
5.6 Proportions: Confidence Intervals and Hypothesis Testing•12 minutes
Week Five Summary and Key Takeaways•6 minutes
6 readings•Total 60 minutes
5.1Statistical Juries•10 minutes
5.2 Type I and Type II errors•10 minutes
5.3 P-values, Effect Size and Sample Size Influences•10 minutes
5.4 Testing a Population Mean Claim•10 minutes
5.5 The Central Limit Theorem•10 minutes
5.6 Proportions: Confidence Intervals and Hypothesis Testing•10 minutes
1 assignment
Week Five Quiz•0 minutes
1 peer review•Total 60 minutes
Assignment Two: Hypothesis Testing•60 minutes
Applications
Module 6•2 hours to complete
Module details
What's included
6 videos6 readings1 assignment
Show info about module content
6 videos•Total 71 minutes
6.1 Decision Tree Analysis•14 minutes
6.2 Risk•9 minutes
6.3 Linear Regression•12 minutes
6.4 Linear Programming•12 minutes
6.5 Monte Carlo Simulation•15 minutes
6.6 Overview of the Course and Next Steps•8 minutes
6 readings•Total 60 minutes
6.1 Decision Tree Analysis•10 minutes
6.2 Risk•10 minutes
6.3 Linear regression•10 minutes
6.4 Linear Programming•10 minutes
6.5 Monte Carlo Simulation•10 minutes
Keep learning with the University of London•10 minutes
1 assignment
Week Six Quiz•0 minutes
Prepare for a degree
Taking this course by University of London may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
View eligible degrees
Prepare for a degree
Taking this course by University of London may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
The University of London is a federal University which includes 17 world leading Colleges. With extensive experience in distance learning since 1858, University of London has enriched the lives of thousands of students, delivering high quality degrees across the globe. Today, University of London is a global leader in flexible study, offering degree programmes to over 45,000 students in over 190 countries, delivering world-leading research across the world. To find out more about University of London, visit www.london.ac.uk
OK
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.6
1,501 reviews
5 stars
74.76%
4 stars
19.24%
3 stars
3.06%
2 stars
1.39%
1 star
1.53%
Showing 3 of 1501
V
VT
5·
Reviewed on May 9, 2020
It is the best course ever that I took on Coursera(and in my life)! I really recommend it to all people sho wants to study statistic! Lectures are really clear and give great knowledge!
A
AP
5·
Reviewed on Sep 18, 2021
A very inspiring course to dive into the world of statistics. An excellent lecturer clearly and interestingly explains the principles of the theory of probability and statistics.
C
CM
5·
Reviewed on Dec 31, 2021
An excellent and thorough introduction to probability and statistics. Dr Abdey's grasp of the topic and his presentation style make the course interesting to follow.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. 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.
What will I get if I purchase the Certificate?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.