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Data Acquisition, Risk, and Estimation · LearnSpace
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Data Acquisition, Risk, and Estimation

Курс от University of Colorado Boulder
Средний≈ 9.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Engineering and Business professionals often have access to many sources of data. The best way to way to ensure your data is both valid and reliable is to plan for it ahead of time. Through this class, you will be able to plan for accurate and precise data generation, then use that data for the purpose of estimation and risk reduction related to capital investments. This specialization can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

Навыки, которые вы освоите

Sample Size DeterminationStatistical Hypothesis TestingEstimationProbability & StatisticsR (Software)Sampling (Statistics)Statistical MethodsData AnalysisBusiness AnalysisData CollectionReturn On InvestmentQuantitative ResearchStatistical InferenceStatistical AnalysisProject EstimationStatistical SoftwareR ProgrammingRisk AnalysisRisk Management

Программа курса

5 модулей · 69 учебных материалов

01Fundamentals of Sampling18 материалов

Introduction to Acquisition, Risk and Estimation

Course Updates and Accessibility SupportЧтениеNon-Credit Students: Welcome and Where to Find HelpЧтениеCourse Materials LocationЧтениеWelcome to Acquisition, Risk and EstimationВидео

Учитесь у экспертов

Wendy Martin

W. Edwards Deming Professor of Management

Data Acquisition, Risk, and Estimation
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Обучение откроется на Coursera
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Обучение на Coursera

≈ 9.1 ч

5 модулей

Язык: Английский

Часть программы вашего университета
Introduce Yourself!Обсуждение

Introduction to Fundamentals of Sampling

Introduction to Fundamentals of SamplingВидео

Sampling

Sample Versus PopulationВидеоTypes of Sampling - Part 1ВидеоTypes of Sampling - Part 2ВидеоSampling ErrorВидео

Random Sampling Distributions

Random Sampling Distributions - Part 1ВидеоRandom Sampling Distributions - Part 2Видео

Random Sampling Distribution of the Mean

RSD of the MeanВидеоThe Central Limit TheoremВидеоSolving Problems with the RSD of the Mean Part 1ВидеоSolving Problems with the RSD of the Mean Part 2Видео

Discussion: Fundamentals of Sampling

Fundamentals of SamplingОбсуждение

Assessment: Fundamentals of Sampling

Fundamentals of SamplingЗадание
02Estimation11 материалов

Introduction to Estimation

Introduction to EstimationВидео

Estimates and Estimators

Estimators and Point EstimatesВидеоInterval EstimatesВидео

Confidence Intervals

Confidence Interval for the Mean, Sigma KnownВидеоConfidence Interval for the Mean, Sigma UnknownВидеоConfidence Interval for Variance / Standard DeviationВидеоConfidence Interval for Proportion / Rate (Count)Видео

Estimation Practice Activities

Practice Activity 1ВидеоPractice Activities 2 and 3Видео

Discussion: Estimation

EstimationОбсуждение

Assessment: Estimation

EstimationЗадание
03Best Case / Worst Case Analysis12 материалов

Introduction to Best Case / Worst Case Analysis

Introduction to Best Case / Worst Case AnalysisВидео

Best Case / Worst Case Analysis

Best / Worst Case Analysis Introduction and Step 1ВидеоBest / Worst Case Analysis Steps 2 and 3ВидеоBest / Worst Case Analysis Steps 4 and 5ВидеоCreating the Table Using RStudioВидеоVisualization and Joint ProbabilityВидео

Best / Worst Case Analysis Practice Activities

Best / Worst Case Example 1ВидеоBest / Worst Case Example 2 Part 1ВидеоBest / Worst Case Example 2 Part 2ВидеоBest / Worst Case Practice QuizЗадание

Discussion: Best Case / Worst Case Analysis

Best Case / Worst Case AnalysisОбсуждение

Assessment: Best Case / Worst Case Analysis

Best Case / Worst Case AnalysisЗадание
04Foundations of Hypothesis Testing14 материалов

Introduction to Foundations of Hypothesis Testing

Introduction to Foundations of Hypothesis TestingВидео

Hypothesis Testing

Introduction to Hypothesis TestingВидеоTesting HypothesesВидеоSignificance Level, Risk, One-Two-Tailed TestsВидеоError and Power in Hypothesis TestingВидео

Beta and Power Calculations

Understanding Beta and PowerВидеоCalculating Beta and Power for MeansВидеоCalculating Beta and Power for VarianceВидеоCalculating Beta and Power for Proportions and RatesВидео

Sample Size Calculations

Sample Size Calculations for MeansВидеоSample Size Calculations for VariancesВидеоSample Size Calculations for ProportionsВидео

Discussion: Foundations of Hypothesis Testing

Foundations of Hypothesis TestingОбсуждение

Assessment: Foundations of Hypothesis Testing

Foundations of Hypothesis TestingЗадание
05Essentials for Effect Size Calculations14 материалов

Introduction to Essentials for Effect Size Calculations

Introduction to Essentials for Effect Size CalculationsВидео

Introduction to Effect Size Calculations

Essentials for Effect Size CalculationsВидеоRisk Analysis - Implications of DecisionsВидеоEffect Size Calculation OSCD Example Part 1ВидеоEffect Size Calculation OSCD Example Part 2ВидеоEffect Size Calculation OSCD Example Part 3Видео

Molex Effect Size Problem

Effect Size Calculation for the Mean Part 1ВидеоEffect Size Calculation for the Mean Part 2ВидеоEffect Size Calculation for the Mean Part 3ВидеоEffect Size Calculation for the Standard DeviationВидеоEffect Size Calculation for the ProportionВидео

Practice Problem

Effect Size Practice QuizЗадание

Discussion: Essentials for Effect Size Calculations

Essentials for Effect Size CalculationsОбсуждение

Assessment: Essentials for Effect Size Calculations

Essentials for Effect Size CalculationsЗадание