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.
Offered By
Probability and Statistics: To p or not to p?
University of London
About this Course
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Learner Career Outcomes
33%
started a new career after completing these courses
25%
got a tangible career benefit from this course
Learner Career Outcomes
33%
started a new career after completing these courses
25%
got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
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Flexible deadlines
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Beginner Level
Approx. 23 hours to complete
Suggested: The course is comprised of 6 weeks of study, with 5-10 hours/week depending on mental stamina!
English
Subtitles: English
Syllabus - What you will learn from this course
2 hours to complete
Dealing with Uncertainty and Complexity in a Chaotic World
2 hours to complete
8 videos (Total 68 min), 6 readings, 1 quiz
8 videos
Welcome!3m
1.1 The Monty Hall Problem9m
1.2 Decision Making Under Uncertainty10m
1.3 Uncertainty in the News9m
1.4 Simplicity vs. Complexity - The Need for Models10m
1.5 Safe to Assume? Beware, When Model Assumptions Go Wrong!9m
1.6 Roadmap of the Course9m
Week One Summary and Key Takeaways4m
6 readings
1.1 The Monty Hall Problem10m
1.2 Decision Making Under Uncertainty10m
1.3 Uncertainty in the News10m
1.4 Simplicity vs. Complexity - The Need for Models10m
1.5 Safe to Assume? Beware, When Model Assumptions Go Wrong!10m
1.6 Roadmap of the Course10m
1 practice exercise
Week One Quiz20m
3 hours to complete
Quantifying Uncertainty With Probability
3 hours to complete
7 videos (Total 74 min), 6 readings, 1 quiz
7 videos
2.2 Simple Probability Distributions11m
2.3 Expectation of Random Variables13m
2.4 Bayesian Updating11m
2.5 Parameters9m
2.6 The Distribution Zoo11m
Week Two Summary and Key Takeaways4m
6 readings
2.1 Probability Principles10m
2.2 Simple Probability Distributions10m
2.3 Expectation of Random Variables10m
2.4 Bayesian Updating10m
2.5 Parameters10m
2.6 The Distribution Zoo10m
1 practice exercise
Week Two Quiz20m
4 hours to complete
Describing The World The Statistical Way
4 hours to complete
7 videos (Total 78 min), 6 readings, 2 quizzes
7 videos
3.2 Data Visualisation11m
3.3 Descriptive Statistics - Measures of Central Tendency13m
3.4 Descriptive Statistics - Measures of Spread10m
3.5 The Normal Distribution11m
3.6 Variance of Random Variables13m
Week Three Summary and Key Takeaways5m
6 readings
3.1 Classify Your Variables!10m
3.2 Data Visualisation10m
3.3 Descriptive Statistics - Measures of Central Tendency10m
3.4 Descriptive Statistics - Measures of Spread10m
3.5 The Normal Distribution10m
3.6 Variance of Random Variables10m
1 practice exercise
Week Three Quiz
2 hours to complete
On Your Marks, Get Set, Infer!
2 hours to complete
7 videos (Total 78 min), 6 readings, 1 quiz
7 videos
4.2 Random Sampling11m
4.3 Further Random Sampling12m
4.4 Sampling Distributions11m
4.5 Sampling Distribution of the Sample Mean11m
4.6 Confidence Intervals13m
Week Four Summary and Key Takeaways5m
6 readings
4.1 Introduction to Sampling10m
4.2 Random Sampling10m
4.3 Further Random Sampling10m
4.4 Sampling Distributions10m
4.5 Sampling Distribution of the Sample Mean10m
4.6 Confidence Intervals10m
1 practice exercise
Week Four Quiz
Reviews
4.5
TOP REVIEWS FROM PROBABILITY AND STATISTICS: TO P OR NOT TO P?
by ASNov 27, 2018
Hi,\n\nThe course taught about the basics and that's exactly what I was looking for. I learnt a lot, and so many things which I hear and read, became clearer and more meaningful. Thanks you!
by HYFeb 9, 2020
Brilliantly organised materials striking a nice balance between theory and application! All the best Dr. Abdey! Looking forward to seeing a novel distribution under your surname!
by HJMar 27, 2020
I never thought that Probability and Statistics is so realistic in our day to day life and so simple to learn. Thank you so much Dr James for all you effort to make this course.
by SDec 14, 2019
It has been an enlightening course and has taught me that in order to make appropriate decisions in life, which is full of uncertainties, probability comes in handy.
Offered by
University of London
The University of London is a federal University which includes 18 world leading Colleges. Our distance learning programmes were founded in 1858 and have enriched the lives of thousands of students, delivering high quality University of London degrees wherever our students are across the globe. Our alumni include 7 Nobel Prize winners. Today, we are a global leader in distance and flexible study, offering degree programmes to over 50,000 students in over 180 countries. To find out more about studying for one of our degrees where you are, visit www.london.ac.uk
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