К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Probability and Statistics: To p or not to p? · LearnSpace
Назад в каталог
courseraАнализ данных

Probability and Statistics: To p or not to p?

Курс от University of London
Начальный≈ 16.4 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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.

Навыки, которые вы освоите

ProbabilityStatistical InferenceProbability DistributionProbability & StatisticsSampling (Statistics)Statistical Hypothesis TestingDescriptive StatisticsStatistical ModelingStatistical AnalysisData AnalysisMathematical ModelingData VisualizationOperations ResearchStatisticsDecision IntelligenceData-Driven Decision-MakingExploratory Data AnalysisStatistical Methods

Программа курса

6 модулей · 86 учебных материалов

01Dealing with Uncertainty and Complexity in a Chaotic World15 материалов

Week One

Welcome!Видео1.1 The Monty Hall ProblemВидео1.1 The Monty Hall ProblemЧтение1.2 Decision Making Under UncertaintyВидео

Учитесь у экспертов

Dr James Abdey

Assistant Professorial Lecturer, LSE

Probability and Statistics: To p or not to p?
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 16.4 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Бенгальский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Вьетнамский, Нидерландский, Корейский, Немецкий, Пушту, Урду, Русский, Тайский, Индонезийский, Шведский, Турецкий, Азербайджанский, Испанский, Дари, Хинди, Японский, Казахский, Венгерский, Польский

Часть программы вашего университета
1.2 Decision Making Under UncertaintyЧтение
1.3 Uncertainty in the NewsВидео
1.3 Uncertainty in the NewsЧтение
1.4 Simplicity vs. Complexity - The Need for ModelsВидео
1.4 Simplicity vs. Complexity - The Need for ModelsЧтение
1.5 Safe to Assume? Beware, When Model Assumptions Go Wrong!Видео
1.5 Safe to Assume? Beware, When Model Assumptions Go Wrong!Чтение
1.6 Roadmap of the CourseВидео
1.6 Roadmap of the CourseЧтение
Week One Summary and Key TakeawaysВидео
Week One QuizЗадание
02Quantifying Uncertainty With Probability14 материалов

Week Two

2.1 Probability PrinciplesВидео2.1 Probability PrinciplesЧтение2.2 Simple Probability DistributionsВидео2.2 Simple Probability DistributionsЧтение2.3 Expectation of Random VariablesВидео2.3 Expectation of Random VariablesЧтение2.4 Bayesian UpdatingВидео2.4 Bayesian UpdatingЧтение2.5 ParametersВидео2.5 ParametersЧтение2.6 The Distribution ZooВидео2.6 The Distribution ZooЧтениеWeek Two Summary and Key TakeawaysВидеоWeek Two QuizЗадание
03Describing The World The Statistical Way15 материалов

Week Three

3.1 Classify Your Variables!Видео3.1 Classify Your Variables!Чтение3.2 Data VisualisationВидео3.2 Data VisualisationЧтение3.3 Descriptive Statistics - Measures of Central TendencyВидео3.3 Descriptive Statistics - Measures of Central TendencyЧтение3.4 Descriptive Statistics - Measures of SpreadВидео3.4 Descriptive Statistics - Measures of SpreadЧтение3.5 The Normal DistributionВидео3.5 The Normal DistributionЧтение3.6 Variance of Random VariablesВидео3.6 Variance of Random VariablesЧтениеWeek Three Summary and Key TakeawaysВидеоWeek Three QuizЗаданиеAssignment One: Descriptive StatisticsВзаимная проверка
04On Your Marks, Get Set, Infer!14 материалов

Week Four

4.1 Introduction to SamplingВидео4.1 Introduction to SamplingЧтение4.2 Random SamplingВидео4.2 Random SamplingЧтение4.3 Further Random SamplingВидео4.3 Further Random SamplingЧтение4.4 Sampling DistributionsВидео4.4 Sampling DistributionsЧтение4.5 Sampling Distribution of the Sample MeanВидео4.5 Sampling Distribution of the Sample MeanЧтение4.6 Confidence IntervalsВидео4.6 Confidence IntervalsЧтениеWeek Four Summary and Key TakeawaysВидеоWeek Four QuizЗадание
05To p Or Not To p?15 материалов

Week Five

5.1 Statistical JuriesВидео5.1Statistical JuriesЧтение5.2 Type I and Type II errorsВидео5.2 Type I and Type II errorsЧтение5.3 P-values, Effect Size and Sample Size InfluencesВидео5.3 P-values, Effect Size and Sample Size InfluencesЧтение5.4 Testing a Population Mean ClaimВидео5.4 Testing a Population Mean ClaimЧтение5.5 The Central Limit TheoremВидео5.5 The Central Limit TheoremЧтение5.6 Proportions: Confidence Intervals and Hypothesis TestingВидео5.6 Proportions: Confidence Intervals and Hypothesis TestingЧтениеWeek Five Summary and Key TakeawaysВидеоWeek Five QuizЗаданиеAssignment Two: Hypothesis TestingВзаимная проверка
06Applications13 материалов

Week Six

6.1 Decision Tree AnalysisВидео6.1 Decision Tree AnalysisЧтение6.2 RiskВидео6.2 RiskЧтение6.3 Linear RegressionВидео6.3 Linear regressionЧтение6.4 Linear ProgrammingВидео6.4 Linear ProgrammingЧтение6.5 Monte Carlo SimulationВидео6.5 Monte Carlo SimulationЧтение6.6 Overview of the Course and Next StepsВидеоWeek Six QuizЗаданиеKeep learning with the University of LondonЧтение