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
Predictive Analytics and Forecasting · LearnSpace
Назад в каталог
courseraАнализ данных

Predictive Analytics and Forecasting

Курс от O.P. Jindal Global University
Уровень не указан≈ 64.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

The Predictive Analytics and Forecasting course is designed for advanced learners aiming to develop practical skills in analyzing data to make forward-looking business decisions. As organizations increasingly rely on data-driven strategies, this course equips future managers with the ability to understand and apply predictive analytics tools for improved decision-making. Learners will explore key concepts in data mining such as regression, classification, clustering, and forecasting, with a strong focus on real-world business applications. The course covers how predictive analytics can uncover customer behavior patterns, market segmentation opportunities, and retail and demand forecasting strategies. It also emphasizes the importance of translating analytical insights into actionable decisions and effective communication with technical teams. Through business case studies and data-rich scenarios, participants will gain hands-on exposure to tools and techniques used across industries. This course is intended for individuals with a foundational understanding of data analysis, including regression, correlation, data visualization, and statistical interpretation. It bridges the gap between technical analytics and business strategy, empowering learners to lead and support data-driven initiatives. By the end of the course, participants will be prepared to apply predictive analytics in managerial roles, driving efficiency, innovation, and competitive advantage in today’s dynamic business landscape.

Навыки, которые вы освоите

Classification AlgorithmsData MiningDimensionality ReductionLogistic RegressionCustomer AnalysisMarket AnalysisPredictive AnalyticsDecision Tree LearningCustomer InsightsUnsupervised LearningDemand PlanningMarketing AnalyticsCorrelation AnalysisForecastingAdvanced AnalyticsBusiness AnalyticsRegression AnalysisData-Driven Decision-MakingPredictive ModelingArtificial Neural Networks

Программа курса

17 модулей · 159 учебных материалов

01Introduction to Predictive Analytics17 материалов

Introduction to Data Mining and Predictive Analytics

Course Intro videoВидео Course OverviewЧтениеData Mining and Predictive AnalyticsВидеоRecommended Reading: Introduction to Data Mining and Predictive Analytics Чтение

Учитесь у экспертов

Krishan Kumar Pandey

Professor and Director 'Office of Doctoral Studies'

Predictive Analytics and Forecasting
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

≈ 64.1 ч

17 модулей

Язык: Английский

Субтитры: Венгерский, Испанский

Часть программы вашего университета
Introduction to Data Mining and Predictive AnalyticsЗадание

Overview of Tools of Predictive Analytics

Tools of Predictive Analytics ВидеоRecommended Reading: Overview of Tools of Predictive AnalyticsЧтениеOverview of Tools of Predictive AnalyticsЗаданиеBasics of Data MiningОбсуждение

Fallacies and Steps in Data Mining

Fallacies and Steps in Data Mining ВидеоRecommended Reading: Fallacies and Steps in Data MiningЧтениеFallacies and Steps in Data MiningЗадание

Preprocessing the Data 

Preprocessing the Data  ВидеоRecommended Reading: Preprocessing the Data  ЧтениеPreprocessing the Data ЗаданиеFrom Raw Data to Reliable Insights: Diagnosing and Preparing Data for PredictionDIALOGUE“Demand Shock at RetailCo: Turning Messy Data into Forecast-Driven DecisionsDIALOGUE
02Methods of Predictive Analytics13 материалов

Correlation and Its Significance 

Correlation and Its Significance ВидеоRecommended Reading: Correlation and Its Significance ЧтениеCorrelation and Its Significance Задание

Zero-Order, Part, and Partial Correlation

Zero-Order, Part, and Partial CorrelationВидеоRecommended Reading: Zero-Order, Part, and Partial CorrelationЧтениеZero-Order, Part, and Partial CorrelationЗадание

Simple Linear Regression

Simple Linear RegressionВидеоRecommended Reading: Simple Linear RegressionЧтениеSimple Linear RegressionЗадание

Multiple Linear Regression

Multiple Linear Regression: Part 1ВидеоMultiple Linear Regression: Part 2ВидеоRecommended Reading: Multiple Linear RegressionЧтениеMultiple Linear RegressionЗадание
03Naïve Bayes Classification12 материалов

Introduction to Classification

Naïve Bayes Classification: Method DiscussionВидеоRecommended Reading: Introduction to ClassificationЧтениеIntroduction to ClassificationЗадание

Naïve Bayes Classification Working

Manual Calculation of Naïve Bayes Classification MethodВидеоRecommended Reading: Naïve Bayes Classification Working ЧтениеNaïve Bayes Classification WorkingЗадание

Naïve Bayes Classification in RStudio

How to Run Naïve Bayes Classification in RStudio?ВидеоRecommended Reading: Naïve Bayes Classification in RStudioЧтениеNaïve Bayes Classification in RStudioЗадание

Naïve Bayes Classification: Advantages and Disadvantages

Benefits and Limitations of Naïve Bayes ClassificationВидеоRecommended Reading: Naïve Bayes Classification: Advantages and DisadvantagesЧтениеNaïve Bayes Classification: Advantages and DisadvantagesЗадание
04k Nearest Neighbors Classification13 материалов

k Nearest Neighbors: Concept and Working

Determining Neighbors and Classification Rule ВидеоRecommended Reading: k Nearest Neighbors: Concept and WorkingЧтениеk Nearest Neighbors: Concept and WorkingЗадание

k Nearest Neighbors: Manual Computation

Manual Classification of Sports Choice ExampleВидеоRecommended Reading: k Nearest Neighbors: Manual ComputationЧтениеk Nearest Neighbors: Manual ComputationЗадание

k Nearest Neighbors: Implementation in RStudio

Riding Mowers Example Classification in RStudio ВидеоRecommended Reading: k Nearest Neighbors: Implementation in RStudioЧтениеk Nearest Neighbors: Implementation in RStudioЗадание

k Nearest Neighbors: Determining Value of k

Determining Value of k, Advantages, and Disadvantages of kNN MethodВидеоRecommended Reading: k Nearest Neighbors: Determining Value of kЧтениеk Nearest Neighbors: Determining Value of kЗаданиеAdvantages and Disadvantages of Using a Small Value vs. a Large Value of kОбсуждение
05Weekly Summative Assessment: Naïve Bayes and k Nearest Neighbors Classification Methods1 материалов

Week 2 Graded Quiz: Naïve Bayes and k Nearest Neighbors Classification Methods

Graded Quiz: Naïve Bayes and k Nearest Neighbors Classification MethodsЗадание
06Logistic Regression12 материалов

Logistics Regression: Method Discussion

Concept of Odd Ratio and ProbabilityВидеоRecommended Reading: Logistics Regression: Method DiscussionЧтениеLogistics Regression: Method DiscussionЗадание

Logistics Regression: Computation

Attrition Example in RStudio, Concept of Null Deviance, and Residual DevianceВидеоRecommended Reading: Logistics Regression: ComputationЧтениеLogistics Regression: ComputationЗадание

Logistics Regression: Output Interpretation

Attrition Example in Logistic Regression and Model Fit VerificationВидеоRecommended Reading: Logistics Regression: Output Interpretation ЧтениеLogistics Regression: Output InterpretationЗадание

Logistics Regression: Model Validation

Logistics Regression: Model Validation in RStudio, Advantages, and DisadvantagesВидеоRecommended Reading: Logistics Regression: Model ValidationЧтениеLogistics Regression: Model ValidationЗадание
07Discriminant Analysis13 материалов

Discriminant Analysis: Concept

Concept of Discriminant AnalysisВидеоRecommended Reading: Discriminant Analysis: ConceptЧтениеDiscriminant AnalysisЗадание

Discriminant Analysis: Two Category Categorical Variable Implementation in RStudio

Panel Plot, Stacked Histogram, and Partition PlotВидеоRecommended Reading: Discriminant Analysis: Two Category Categorical Variable Implementation in RStudioЧтениеDiscriminant Analysis: Two Category Categorical Variable Implementation in RStudioЗадание

Discriminant Analysis: Multiple Category Categorical Variable Implementation in RStudio

Multiple Category Categorical Variable Based DA in RStudioВидеоRecommended Reading: Discriminant Analysis: Multiple Category Categorical Variable Implementation in RStudioЧтениеDiscriminant Analysis: Multiple Category Categorical Variable Implementation in RStudioЗадание

Discriminant Analysis: Benefits and Limitations

Discriminant Analysis: Advantages and DisadvantagesВидеоRecommended Reading: Discriminant Analysis: Benefits and LimitationsЧтениеDiscriminant Analysis: Benefits and LimitationsЗаданиеSupervised vs. Unsupervised LearningОбсуждение
08Weekly Summative Assessment: Logistic Regression and Discriminant Analysis1 материалов

Week 3 Graded Quiz: Logistic Regression and Discriminant Analysis

Graded Quiz: Logistic Regression and Discriminant AnalysisЗадание
09Decision Tree12 материалов

Decision Tree: Concept

Decision Tree: Recursive Partitioning, Information Gain, and EntropyВидеоRecommended Reading: Decision Tree: ConceptЧтениеDecision Tree: ConceptЗадание

Decision Tree: Manual Illustration

Manual Illustration on Decision TreeВидеоRecommended Reading: Decision Tree: Manual IllustrationЧтениеDecision Tree: Manual IllustrationЗадание

Decision Tree: Illustration in RStudio

Concept of Overfitting and UnderfittingВидеоRecommended Reading: Decision Tree: Illustration in RStudioЧтениеDecision Tree: Illustration in RStudioЗадание

Decision Tree: Bias and Variance

Decision Tree: Bias and Variance – Advantages and DisadvantagesВидеоRecommended Reading: Decision Tree: Bias and VarianceЧтениеDecision Tree: Bias and VarianceЗадание
10Neural Network12 материалов

Neural Network: Concept

Type of Input and Output Requirement to Run NNВидеоRecommended Reading: Neural Network: ConceptЧтениеNeural Network: ConceptЗадание

Neural Network: Activation Function

Sigmoid Activation Function and Manual IllustrationВидеоRecommended Reading: Neural Network: Activation FunctionЧтениеNeural Network: Activation FunctionЗадание

Neural Network: Illustration in RStudio

Neural Network: Illustration in RStudioВидеоRecommended Reading: Neural Network: Illustration in RStudioЧтениеNeural Network: Illustration in RStudioЗадание

Neural Network: Termination Criteria

Neural Network: Termination Criteria, Advantages, and DisadvantagesВидеоRecommended Reading: Neural Network: Termination CriteriaЧтениеNeural Network: Termination CriteriaЗадание
11Dimension Reduction-(Factor Analysis)12 материалов

Exploratory and Confirmatory Factor Analysis

Meaning and Uses of EFA and CFA ВидеоRecommended Reading: Exploratory and Confirmatory Factor Analysis ЧтениеExploratory and Confirmatory Factor AnalysisЗадание

Concept and Terminology of EFA

Rules and Various Terminology Used in EFA ВидеоRecommended Reading: Neural Network: Concept and Terminology of EFAЧтениеConcept and Terminology of EFAЗадание

Exploratory Factor Analysis Computation and Inference – Part 1

Running Factor Analysis on SPSS: Process and Result Interpretation – Part 1ВидеоRecommended Reading: Exploratory Factor Analysis Computation and Inference – Part 1ЧтениеExploratory Factor Analysis Computation and Inference – Part 1Задание

Exploratory Factor Analysis Computation and Inference – Part 2

Running Factor Analysis on SPSS: Process and Result Interpretation – Part 2 ВидеоRecommended Reading: Exploratory Factor Analysis Computation and Inference – Part 2ЧтениеExploratory Factor Analysis Computation and Inference – Part 2Задание
12Cluster Analysis-Part 113 материалов

Basic Concepts of Clustering

Meaning and Classification of ClustersВидеоRecommended Reading: Basic Concepts of ClusteringЧтениеBasic Concepts of ClusteringЗаданиеFactor and Cluster AnalysisОбсуждение

Distance and Dissimilarity in Clustering

Distance and Dissimilarity Measures Used in ClusteringВидеоRecommended Reading: Distance and Dissimilarity in ClusteringЧтениеDistance and Dissimilarity in ClusteringЗадание

Hierarchical, Single-Linkage, and Complete-Linkage Clustering

Hierarchical, Single-Linkage, and Complete-Linkage ClusteringВидеоRecommended Reading: Hierarchical, Single-Linkage, and Complete-Linkage ClusteringЧтениеHierarchical, Single-Linkage, and Complete-Linkage ClusteringЗадание

Dendrograms and Its Limitation in Clustering

Dendrograms and Limitations of Hierarchical ClusteringВидеоRecommended Reading: Dendrograms and Its Limitation in Clustering ЧтениеDendrograms and Its Limitation in ClusteringЗадание
13Weekly Summative Assessment: Dimension Reduction and Cluster Analysis1 материалов

Week 5 Graded Quiz: Dimension Reduction and Cluster Analysis

Graded Quiz: Dimension Reduction and Cluster AnalysisЗадание
14Cluster Analysis: Part 212 материалов

Non-Hierarchical Clustering

Non-Hierarchical Clustering: k-Means Clustering AlgorithmВидеоRecommended Reading: Non-Hierarchical ClusteringЧтениеNon-Hierarchical ClusteringЗадание

Optimal Number of Clusters

Determine the Correct Number of Clusters and Their InterpretationВидеоRecommended Reading: Optimal Number of Clusters ЧтениеOptimal Number of ClustersЗадание

Market Segmentation with Conjoint Analysis

Market Segmentation Conjoint Analysis: Method Discussion ВидеоRecommended Reading: Market Segmentation with Conjoint AnalysisЧтениеMarket Segmentation with Conjoint AnalysisЗадание

Market Segmentation with Conjoint Analysis: An Example

Market Segmentation Through Conjoint Analysis: An ExampleВидеоRecommended Reading: Market Segmentation with Conjoint Analysis: An ExampleЧтениеMarket Segmentation with Conjoint Analysis: An ExampleЗадание
15Association Rule Mining13 материалов

Basic Concepts of Association Rule Mining

What Is Association Rule Mining, and When to Use It?ВидеоRecommended Reading: Basic Concepts of Association Rule Mining ЧтениеBasic Concepts of Association Rule MiningЗадание

Basic Concepts of Market Basket Analysis

Basic Concepts of Market Basket Analysis ВидеоRecommended Reading: Basic Concepts of Market Basket AnalysisЧтениеBasic Concepts of Market Basket AnalysisЗадание

Market Basket Analysis Hands-On 1

Hands-On Market Basket Analysis – IВидеоRecommended Reading: Market Basket Analysis Hands-On 1ЧтениеMarket Basket Analysis Hands-On 1Задание

Market Basket Analysis Hands-On 2

Hands-On Market Basket Analysis – II ВидеоRecommended Reading: Market Basket Analysis Hands-On 2ЧтениеMarket Basket Analysis Hands-On 2ЗаданиеAssociation Rule MiningОбсуждение
16Weekly Summative Assessment: Cluster Analysis and Association Rule Mining1 материалов

Week 6 Graded Quiz: Cluster Analysis and Association Rule Mining

Graded Quiz: Cluster Analysis and Association Rule MiningЗадание
17Course Wrap-Up video1 материалов

Term-End Staff Graded Assignment

Course Wrap-Up videoВидео