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
Data Collection and Root Cause Analysis · LearnSpace
Назад в каталог
courseraАнализ данных

Data Collection and Root Cause Analysis

Курс от SkillUp
Начальный≈ 8.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

The course will equip you with the competencies and essential skills required to excel in the American Society for Quality (ASQ) Certified Six Sigma Yellow Belt (CSSYB) exam and contribute to process improvement programs. This course focuses on various data collection tools and techniques to analyze data, identify the root causes of a problem, and explore the concepts of measurement system analysis (MSA), and hypothesis testing. By the end of this course, you will be able to: • Define data requirements to gather relevant data from the process using appropriate data collection methods. • Calculate baseline process performance metrics based on the collected data. • Analyze data for variations and use data analysis tools and techniques to identify the root causes for the problem or variation. The course is best suited for entry-level professionals who are new to the world of Six Sigma and wish to improve their professional experience and opportunities. For this course, no prior knowledge is required, however, it is recommended that you complete the first course, Introduction to Lean Six Sigma and Project Identification Methods in the ASQ-Certified Six Sigma Yellow Belt Exam Prep Specialization.

Навыки, которые вы освоите

Descriptive StatisticsQuantitative ResearchRoot Cause AnalysisData CollectionData LiteracyStatistical Hypothesis TestingBusiness Process ImprovementProcess AnalysisStatisticsCorrelation AnalysisStatistical AnalysisProbability & StatisticsData AnalysisSix Sigma MethodologyRegression AnalysisProcess ImprovementLean Six SigmaStatistical MethodsOperational EfficiencyStatistical Inference

Программа курса

4 модулей · 45 учебных материалов

01Basic Statistics and Process Performance Measurement16 материалов

Data description and dispersion measures

Specialization OverviewВидеоCourse introductionВидеоCourse OverviewЧтениеDescriptive and inferential statisticsВидео

Учитесь у экспертов

SkillUp

Преподаватель курса

E R Suresh Narain

Преподаватель курса

Data Collection and Root Cause Analysis
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

≈ 8.1 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Пушту, Дари, Казахский, Венгерский

Часть программы вашего университета
Measures of central tendencyВидео
Measures of variabilityВидео
Practice: Summarize Data for a ManagerDIALOGUE
Practice Quiz: Data description and dispersion measuresЗадание

Data types and measurement system analysis (MSA)

Qualitative and Quantitative DataВидеоData collection planВидеоSampling Methods and Sample SizeЧтениеMeasurement system analysis (MSA)ВидеоPractice Quiz: Data types and measurement system analysisЗаданиеImportance of descriptive statistics in data collection/Qualitative vs. quantitative dataЧтениеDifference between central tendency and measures of dispersionОбсуждениеGraded Quiz: Basic Statistics and Process Performance Measurement Задание
02Root Cause Analysis Techniques11 материалов

Value analysis

Value-added and non-value-added activitiesВидеоIdentify bottlenecksВидеоPractice Quiz: Value analysisЗадание

RCA tools

RCA tool 1: Pareto principleВидеоRCA tool 2: Fishbone diagramВидеоRCA tool 3: Five whysВидеоPractice Quiz: RCA toolsЗаданиеValue-added and non-value-added activities: A business perspectiveЧтениеElimination or reduction of non-value-added activitiesОбсуждениеGraded Quiz: Root Cause Analysis TechniquesЗаданиеSetting Your Process Efficiency and Root Cause Analysis Learning ExpectationsDIALOGUE
03Hypothesis Testing and Investigating the Relationship14 материалов

Hypothesis testing & analysis

Hypothesis and its typesВидеоNull hypothesis versus alternative hypothesisВидеоType I and Type II errorsВидеоP value to test hypothesesВидеоPractice: Make a Data-Driven Business DecisionDIALOGUEPractice Quiz: Hypothesis testing & analysisЗадание

Investigating the relationship

Correlation analysis: Types of correlationВидеоCorrelation analysisВидеоR-squared valuesВидеоRegression analysis: Simple linear regressionВидеоPractice Quiz: Investigating the relationshipЗаданиеInterpretation of R-squared valuesЧтение
04Peer-Reviewed Assignment4 материалов
Course wrap-upВидеоPeer-reviewed assignment: Hypothesis testing Взаимная проверкаCongratulations and next stepsЧтениеThanks from the course teamЧтение
Difference between correlation and determination coefficientsОбсуждение
Graded Quiz: Hypothesis Testing and Investigating the RelationshipЗадание