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
Analyze Business Data Using Statistics Foundations · LearnSpace
Назад в каталог
courseraАнализ данных

Analyze Business Data Using Statistics Foundations

Курс от EDUCBA
Уровень не указан≈ 13.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

By completing this course, learners will be able to analyze business data using statistical methods, apply probability models to real-world scenarios, perform hypothesis testing, interpret statistical distributions, and evaluate relationships between variables to support data-driven decision-making. This course provides a comprehensive foundation in Business Mathematics and Statistics, designed to bridge theory with practical business and analytics applications. Learners progress from understanding data types and sampling methods to mastering probability, distributions, matrix mathematics, and statistical inference. The course emphasizes real-world relevance by connecting statistical concepts with machine learning fundamentals and business decision contexts. Learners benefit by developing the ability to interpret data accurately, manage uncertainty, and justify decisions using statistical evidence—skills highly valued in analytics, finance, operations, and management roles. Step-by-step explanations, structured modules, and applied examples ensure clarity even for learners with minimal mathematical background. What makes this course unique is its integrated approach, combining statistics, probability, mathematical foundations, and applied hypothesis testing within a single learning pathway. The curriculum is industry-aligned, assessment-driven, and optimized for both academic learning and professional upskilling, making it ideal for business students, aspiring analysts, and working professionals.

Навыки, которые вы освоите

Correlation AnalysisData LiteracyAnalyticsData VisualizationApplied Machine LearningData AnalysisMachine Learning

Программа курса

5 модулей · 70 учебных материалов

01Foundations of Data & Sampling15 материалов

Introduction to Data & Learning Systems

Sampling Method in Machine LearningВидеоTechnical TerminologyВидеоError of Observation and Non ObservationВидеоIntroduction to Data & Learning SystemsЗадание

Sampling Techniques in Practice

Учитесь у экспертов

EDUCBA

Преподаватель курса

Analyze Business Data Using Statistics Foundations
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

≈ 13.5 ч

5 модулей

Язык: Английский

Часть программы вашего университета
Systematic SamplingВидео
Cluster SamplingВидео
Statistics Data TypesВидео
Sampling Techniques in PracticeЗадание

Understanding and Visualizing Data

Qualitative Data and VisualizationВидеоMachine LearningВидеоRelative Frequency ProbabilityВидеоUnderstanding and Visualizing DataЗаданиеDesigning Reliable Data Samples for Business AnalysisDIALOGUEGraded-Foundations of Data & SamplingЗаданиеChoosing the Right Sampling Plan for a Customer SurveyDIALOGUE
02Probability Essentials for Business Decisions13 материалов

Core Probability Concepts

Joint ProbabilityВидеоConditional ProbabilityВидеоConcept of IndependenceВидеоCore Probability ConceptsЗадание

Advanced Probability Rules

Total ProbabilityВидеоRandom VariableВидеоProbability DistributionВидеоAdvanced Probability RulesЗадание

Distribution Functions Explained

Cumulative Probability DistributionВидеоBernoulli DistributionВидеоGaussian DistributionВидеоDistribution Functions ExplainedЗаданиеGraded-Probability Essentials for Business DecisionsЗадание
03Distributions & Mathematical Foundations14 материалов

Discrete & Continuous Distributions

Geometric DistributionВидеоContinuous and Normal DistributionВидеоMathematical Expression and ComputationВидеоDiscrete & Continuous DistributionsЗадание

Matrix Mathematics Basics

Transpose of MatrixВидеоProperties of MatrixВидеоDeterminantsВидеоMatrix Mathematics BasicsЗадание

Introduction to Statistical Inference

Error TypesВидеоCritical Value ApproachВидеоRight and Left Sided Critical ApproachВидеоP-Value ApproachВидеоIntroduction to Statistical InferenceЗаданиеGraded-Distributions & Mathematical FoundationsЗадание
04Hypothesis Testing & Statistical Reasoning14 материалов

P-Values and Hypothesis Testing

P-Value Approach ContinuesВидеоHypothesis TestingВидеоLeft Tail TestВидеоP-Values and Hypothesis TestingЗадание

Testing Strategies and Confidence

Two Tail TestВидеоConfidence IntervalВидеоExample of Confidence IntervalВидеоTesting Strategies and ConfidenceЗадание

Distribution Analysis & Normality

Normal and Non Normal DistributionВидеоNormality TestВидеоNormality Test ContinuesВидеоDetermining the TransformationВидеоDistribution Analysis & NormalityЗаданиеGraded-Hypothesis Testing & Statistical ReasoningЗадание
05Statistical Tests & Relationship Analysis14 материалов

Mean Comparison Tests

T-TestВидеоT-Test ContinueВидеоMore on T-TestВидеоMean Comparison TestsЗадание

Association & Model Validation

Test of IndependenceВидеоExample of Test of IndependenceВидеоGoodness of Fit TestВидеоAssociation & Model ValidationЗадание

Measuring Relationships in Data

Example of Goodness of Fit TestВидеоCo-VarianceВидеоCo-Variance ContinuesВидеоMeasuring Relationships in DataЗаданиеGraded-Statistical Tests & Relationship AnalysisЗаданиеDriving Business Decisions Using Statistical EvidenceDIALOGUE