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Unsupervised Learning and Its Applications in Marketing · LearnSpace
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Unsupervised Learning and Its Applications in Marketing

Курс от O.P. Jindal Global University
Начальный≈ 22.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Turn complex marketing data into actionable customer insights with Unsupervised Learning and Its Applications in Marketing. This practical course helps you learn how machine learning can uncover hidden patterns, identify customer segments, detect anomalies, and support smarter, data-driven marketing decisions. You’ll build hands-on skills with Python and unsupervised learning algorithms, including clustering techniques such as k-means, hierarchical clustering, and DBSCAN. Explore customer segmentation, dimensionality reduction, anomaly detection, autoencoders, and association learning to solve real-world marketing problems. You’ll also discover how semi-supervised learning and recommender systems can help you make better use of large amounts of data. Whether you’re looking to strengthen your marketing analytics, machine learning, Python, or data science skills, this course gives you practical opportunities to apply techniques to marketing datasets and interpret the results. Learn to segment customers, simplify high-dimensional data, identify unusual behavior, uncover purchasing patterns, and build personalized recommendations. Enroll now to develop practical unsupervised learning skills and turn marketing data into insights that can drive better decisions and business growth.

Навыки, которые вы освоите

Unsupervised LearningAnomaly DetectionCustomer AnalysisAutoencodersDimensionality ReductionData MiningApplied Machine LearningStatistical Machine LearningAlgorithmsCustomer InsightsMachine Learning MethodsMarketingTarget AudiencePython ProgrammingData-Driven MarketingMarketing AnalyticsSupervised LearningMachine Learning Algorithms

Программа курса

12 модулей · 109 учебных материалов

01Fundamentals of Unsupervised Learning17 материалов

Course Introduction

Course IntroductionВидеоCourse OverviewЧтение

Introduction to Unsupervised Learning

Introduction to Unsupervised LearningВидеоEssential Reading: Introduction to Unsupervised Learning Чтение

Учитесь у экспертов

Ambica Ghai

Преподаватель курса

Unsupervised Learning and Its Applications in Marketing
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Обучение на Coursera

≈ 22.2 ч

12 модулей

Язык: Английский

Субтитры: Вьетнамский

Часть программы вашего университета
Introduction to Unsupervised LearningЗадание

Unsupervised Algorithms: Part I

Unsupervised Algorithms: Part IВидеоEssential Reading: Unsupervised Algorithms: Part IЧтениеUnsupervised Algorithms: Part IЗадание

Unsupervised Algorithms-Part II

Unsupervised Algorithms: Part IIВидеоEssential Reading: Unsupervised Algorithms: Part IIЧтениеUnsupervised Algorithms: Part IIЗадание

Applications of Unsupervised Learning 

Applications of Unsupervised Learning ВидеоEssential Reading: Applications of Unsupervised Learning ЧтениеApplications of Unsupervised LearningЗаданиеUnderstanding the Applications of Unsupervised Learning in MarketingОбсуждение

Hands-on Practice

From Algorithms to Insight: Choosing the Right Unsupervised Technique for Marketing ProblemsDIALOGUESegment, Simplify, and Sell: Applying Unsupervised Learning to Drive a Marketing Campaign StrategyDIALOGUE
02Clustering and Its Types12 материалов

Clustering

ClusteringВидеоEssential Reading: ClusteringЧтениеClusteringЗадание

k-means

k-meansВидеоEssential Reading: k-MeansЧтениеk-meansЗадание

Hierarchical Clustering

Hierarchical ClusteringВидеоEssential Reading: Hierarchical Clustering ЧтениеHierarchical Clustering Задание

DBSCAN

DBSCANВидеоEssential Reading: DBSCANЧтениеDBSCANЗадание
03Weekly Summative Assessment: Fundamentals of Unsupervised Learning and Clustering1 материалов

Week 1 Graded Quiz: Fundamentals of Unsupervised Learning and Clustering

Graded Quiz: Fundamentals of Unsupervised Learning and ClusteringЗадание
04Data-Driven Customer Segmentation13 материалов

Customer Segmentation

Customer SegmentationВидеоEssential Reading: Customer SegmentationЧтениеCustomer SegmentationЗадание

Segmenting Customers with Python: Part I

Segmenting Customers with Python: Part IВидеоEssential Reading: Segmenting Customers with Python: Part IЧтениеSegmenting Customers with Python: Part IЗадание

Segmenting Customers with Python: Part II

Segmenting Customers with Python: Part IIВидеоEssential Reading: Segmenting Customers with Python: Part IIЧтениеSegmenting Customers with Python: Part IIЗаданиеApplications of Unsupervised Learning in Customer SegmentationОбсуждение

Introduction to Dimensionality Reduction

Introduction to Dimensionality Reduction ВидеоEssential Reading: Introduction to Dimensionality Reduction ЧтениеIntroduction to Dimensionality Reduction Задание
05Dimensionality Reduction12 материалов

Dimensionality Reduction Algorithm – Linear Projection Techniques

Dimensionality Reduction Algorithm – Linear Projection TechniquesВидеоEssential Reading: Dimensionality Reduction Algorithm – Linear Projection TechniquesЧтениеDimensionality Reduction Algorithm – Linear Projection TechniquesЗадание

Dimensionality Reduction Algorithm – Manifold Learning

Dimensionality Reduction Algorithm – Manifold LearningВидеоEssential Reading: Dimensionality Reduction Algorithm – Manifold LearningЧтениеDimensionality Reduction Algorithm – Manifold LearningЗадание

Other Dimensionality Reduction Methods

Other Dimensionality Reduction MethodsВидеоEssential Reading: Other Dimensionality Reduction MethodsЧтениеOther Dimensionality Reduction MethodsЗадание

Introduction to Anomaly Detection

Introduction to Anomaly DetectionВидеоEssential Reading: Introduction to Anomaly DetectionЧтениеIntroduction to Anomaly DetectionЗадание
06Weekly Summative Assessment: Data-Driven Customer Segmentation and Dimensionality Reduction 1 материалов

Week 2 Graded Quiz: Data-Driven Customer Segmentation and Dimensionality Reduction 

Graded Quiz: Data-Driven Customer Segmentation and Dimensionality ReductionЗадание
07Anomaly Detection12 материалов

Normal PCA Anomaly Detection

Normal PCA Anomaly DetectionВидеоEssential Reading: Normal PCA Anomaly DetectionЧтениеNormal PCA Anomaly DetectionЗадание

Sparse and Kernel PCA Anomaly Detection 

Sparse and Kernel PCA Anomaly DetectionВидеоEssential Reading: Sparse and Kernel PCA Anomaly DetectionЧтениеSparse and Kernel PCA Anomaly DetectionЗадание

Random Projection Anomaly Detection

Random Projection Anomaly DetectionВидеоEssential Reading: Random Projection Anomaly DetectionЧтениеRandom Projection Anomaly DetectionЗадание

Nonlinear Anomaly Detection

Nonlinear Anomaly DetectionВидеоEssential Reading: Nonlinear Anomaly DetectionЧтениеNonlinear Anomaly DetectionЗадание
08Autoencoders and Association Learning13 материалов

Introduction to Autoencoders

Introduction to AutoencodersВидеоEssential Reading: Introduction to AutoencodersЧтениеIntroduction to AutoencodersЗадание

Types of Autoencoders

Types of AutoencodersВидеоEssential Reading: Types of AutoencodersЧтениеTypes of AutoencodersЗадание

Market Basket Analysis: Part 1

Market Basket Analysis: Part 1ВидеоEssential Reading: Market Basket Analysis: Part 1ЧтениеMarket Basket Analysis: Part 1Задание

Market Basket Analysis: Part 2

Market Basket Analysis: Part 2ВидеоEssential Reading: Market Basket Analysis: Part 2ЧтениеMarket Basket Analysis: Part 2ЗаданиеApplication of Unsupervised Learning for Market Basket AnalysisОбсуждение
09Weekly Summative Assessment: Anomaly Detection, Autoencoders, and Association Learning1 материалов

Week 3 Graded Quiz: Anomaly Detection, Autoencoders, and Association Learning

Graded Quiz: Anomaly Detection, Autoencoders, and Association Learning Задание
10Semi-Supervised Learning13 материалов

Semi-Supervised Learning

Semi-Supervised LearningВидеоEssential Reading: Semi-Supervised LearningЧтениеSemi-Supervised LearningЗадание

Supervised model

Supervised modelВидеоEssential Reading: Supervised modelЧтениеSupervised modelЗадание

Unsupervised Model

Unsupervised ModelВидеоEssential Reading: Unsupervised ModelЧтениеUnsupervised ModelЗадание

Semi-Supervised Model

Semi-Supervised ModelВидеоEssential Reading: Semi-Supervised ModelЧтениеSemi-Supervised ModelЗаданиеSemisupervised Learning and Its Applications in MarketingОбсуждение
11Recommender systems Using RBM12 материалов

Boltzmann Machines

Boltzmann MachinesВидеоEssential Reading: Boltzmann MachinesЧтениеBoltzmann MachinesЗадание

Recommender Systems

Recommender SystemsВидеоEssential Reading: Recommender Systems ЧтениеRecommender SystemsЗадание

Collaborative Filtering Using RBMs

Collaborative Filtering Using RBMsВидеоEssential Reading: Collaborative Filtering Using RBMsЧтениеCollaborative Filtering Using RBMsЗадание

Future of Unsupervised Learning

Future of Unsupervised LearningВидеоEssential Reading: Future of Unsupervised LearningЧтениеFuture of Unsupervised LearningЗадание
12Weekly Summative Assessment: Semi-Supervised Learning and Recommender systems Using RBM2 материалов

Week 4 Graded Quiz: Semi-Supervised Learning and Recommender systems Using RBM

Graded Quiz: Semi-Supervised Learning and Recommender systems Using RBMЗадание

Course Wrap up video

Course Wrap-upВидео