Informações sobre o curso
4.5
14 classificações
5 avaliações
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....
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Comece imediatamente e aprenda em seu próprio cronograma.
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Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Beginner Level

Nível iniciante

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Sugerido: The course is comprised of 6 weeks of study, with 5-10 hours/week depending on mental stamina!

Aprox. 19 horas restantes
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English

Legendas: English
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Calendar

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Beginner Level

Nível iniciante

Clock

Sugerido: The course is comprised of 6 weeks of study, with 5-10 hours/week depending on mental stamina!

Aprox. 19 horas restantes
Comment Dots

English

Legendas: English

Programa - O que você aprenderá com este curso

1

Seção
Clock
2 horas para concluir

Dealing with Uncertainty and Complexity in a Chaotic World

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Reading
8 vídeos (Total de 68 min), 6 leituras, 1 teste
Video8 videos
1.1 The Monty Hall Problem9min
1.2 Decision Making Under Uncertainty10min
1.3 Uncertainty in the News9min
1.4 Simplicity vs. Complexity - The Need for Models10min
1.5 Safe to Assume? Beware, When Model Assumptions Go Wrong!9min
1.6 Roadmap of the Course9min
Week One Summary and Key Takeaways4min
Reading6 leituras
1.1 The Monty Hall Problem10min
1.2 Decision Making Under Uncertainty10min
1.3 Uncertainty in the News10min
1.4 Simplicity vs. Complexity - The Need for Models10min
1.5 Safe to Assume? Beware, When Model Assumptions Go Wrong!10min
1.6 Roadmap of the Course10min
Quiz1 exercício prático
Week One Quiz20min

2

Seção
Clock
3 horas para concluir

Quantifying Uncertainty With Probability

...
Reading
7 vídeos (Total de 74 min), 6 leituras, 1 teste
Video7 videos
2.2 Simple Probability Distributions11min
2.3 Expectation of Random Variables13min
2.4 Bayesian Updating11min
2.5 Parameters9min
2.6 The Distribution Zoo11min
Week Two Summary and Key Takeaways4min
Reading6 leituras
2.1 Probability Principles10min
2.2 Simple Probability Distributions10min
2.3 Expectation of Random Variables10min
2.4 Bayesian Updating10min
2.5 Parameters10min
2.6 The Distribution Zoo10min
Quiz1 exercício prático
Week Two Quiz20min

3

Seção
Clock
4 horas para concluir

Describing The World The Statistical Way

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Reading
7 vídeos (Total de 78 min), 6 leituras, 2 testes
Video7 videos
3.2 Data Visualisation11min
3.3 Descriptive Statistics - Measures of Central Tendency13min
3.4 Descriptive Statistics - Measures of Spread10min
3.5 The Normal Distribution11min
3.6 Variance of Random Variables13min
Week Three Summary and Key Takeaways5min
Reading6 leituras
3.1 Classify Your Variables!10min
3.2 Data Visualisation10min
3.3 Descriptive Statistics - Measures of Central Tendency10min
3.4 Descriptive Statistics - Measures of Spread10min
3.5 The Normal Distribution10min
3.6 Variance of Random Variables10min
Quiz1 exercício prático
Week Three Quizmin

4

Seção
Clock
2 horas para concluir

On Your Marks, Get Set, Infer!

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Reading
7 vídeos (Total de 78 min), 6 leituras, 1 teste
Video7 videos
4.2 Random Sampling11min
4.3 Further Random Sampling12min
4.4 Sampling Distributions11min
4.5 Sampling Distribution of the Sample Mean11min
4.6 Confidence Intervals13min
Week Four Summary and Key Takeaways5min
Reading6 leituras
4.1 Introduction to Sampling10min
4.2 Random Sampling10min
4.3 Further Random Sampling10min
4.4 Sampling Distributions10min
4.5 Sampling Distribution of the Sample Mean10min
4.6 Confidence Intervals10min
Quiz1 exercício prático
Week Four Quizmin
4.5

Melhores avaliações

por FTSep 16th 2018

Best course on the concepts of Probability and statistics , for the beginners. Dr.James Abdey provides lot of examples from the everyday life .

Instrutores

Dr James Abdey

Assistant Professorial Lecturer, LSE
University of London

Sobre 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...

Perguntas Frequentes – FAQ

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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. If you only want to read and view the course content, you can audit the course for free.

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