Monthly Subscription Starting at AED 99 + VAT

Unsupervised Learning and Its Applications in Marketing
  • Level Foundation
  • المدة 22 ساعات hours
  • الطبع بواسطة O.P. Jindal Global University
  • Offered by

عن

Welcome to the Unsupervised Learning and Its Applications in Marketing course! In this course, you will delve into the fascinating world of unsupervised machine learning and its relevance to the field of marketing. Unsupervised learning is a powerful approach that allows us to uncover hidden patterns and insights from vast amounts of historical data without the need for explicit labels or human intervention. Through hands-on exercises and real-world examples, you will learn how to leverage the Python programming language to apply unsupervised learning algorithms in marketing contexts. Throughout the course, you will explore various unsupervised learning techniques, such as clustering, dimensionality reduction, and association rule mining. These techniques will enable you to identify customer segments, uncover meaningful relationships between variables, and gain valuable insights into consumer behavior. By mastering the applications of unsupervised learning in marketing, you will acquire the skills to extract actionable knowledge from data, make data-driven decisions, and unlock new opportunities for your marketing strategies. So, get ready to embark on a journey of discovery and innovation as you explore the fascinating world of unsupervised learning and its transformative applications in marketing. Let's dive in and unlock the hidden potential of data-driven marketing together! To succeed in this course, you should have a basic understanding of Python. You will also need certain software requirements, including Anaconda navigator.

الوحدات

Course Introduction

    • 1 Videos
    • 1 Readings
Show info about module content

1 Videos

  • Course Introduction

1 Readings

  • Course Overview

Introduction to Unsupervised Learning

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Introduction to Unsupervised Learning

1 Videos

  • Introduction to Unsupervised Learning

1 Readings

  • Essential Reading: Introduction to Unsupervised Learning 

Unsupervised Algorithms: Part I

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Unsupervised Algorithms: Part I

1 Videos

  • Unsupervised Algorithms: Part I

1 Readings

  • Essential Reading: Unsupervised Algorithms: Part I

Unsupervised Algorithms-Part II

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Unsupervised Algorithms: Part II

1 Videos

  • Unsupervised Algorithms: Part II

1 Readings

  • Essential Reading: Unsupervised Algorithms: Part II

Applications of Unsupervised Learning 

    • 1 Videos
    • 1 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Applications of Unsupervised Learning

1 Discussions

  • Understanding the Applications of Unsupervised Learning in Marketing

1 Videos

  • Applications of Unsupervised Learning 

1 Readings

  • Essential Reading: Applications of Unsupervised Learning 

Clustering

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Clustering

1 Videos

  • Clustering

1 Readings

  • Essential Reading: Clustering

k-means

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • k-means

1 Videos

  • k-means

1 Readings

  • Essential Reading: k-Means

Hierarchical Clustering

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Hierarchical Clustering 

1 Videos

  • Hierarchical Clustering

1 Readings

  • Essential Reading: Hierarchical Clustering 

DBSCAN

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • DBSCAN

1 Videos

  • DBSCAN

1 Readings

  • Essential Reading: DBSCAN

Week 1 Graded Quiz: Fundamentals of Unsupervised Learning and Clustering

    • 1 Assignment
Show info about module content

1 Assignment

  • Graded Quiz: Fundamentals of Unsupervised Learning and Clustering

Customer Segmentation

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Customer Segmentation

1 Videos

  • Customer Segmentation

1 Readings

  • Essential Reading: Customer Segmentation

Segmenting Customers with Python: Part I

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Segmenting Customers with Python: Part I

1 Videos

  • Segmenting Customers with Python: Part I

1 Readings

  • Essential Reading: Segmenting Customers with Python: Part I

Segmenting Customers with Python: Part II

    • 1 Videos
    • 1 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Segmenting Customers with Python: Part II

1 Discussions

  • Applications of Unsupervised Learning in Customer Segmentation

1 Videos

  • Segmenting Customers with Python: Part II

1 Readings

  • Essential Reading: Segmenting Customers with Python: Part II

Introduction to Dimensionality Reduction

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Introduction to Dimensionality Reduction 

1 Videos

  • Introduction to Dimensionality Reduction 

1 Readings

  • Essential Reading: Introduction to Dimensionality Reduction 

Dimensionality Reduction Algorithm – Linear Projection Techniques

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Dimensionality Reduction Algorithm – Linear Projection Techniques

1 Videos

  • Dimensionality Reduction Algorithm – Linear Projection Techniques

1 Readings

  • Essential Reading: Dimensionality Reduction Algorithm – Linear Projection Techniques

Dimensionality Reduction Algorithm – Manifold Learning

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Dimensionality Reduction Algorithm – Manifold Learning

1 Videos

  • Dimensionality Reduction Algorithm – Manifold Learning

1 Readings

  • Essential Reading: Dimensionality Reduction Algorithm – Manifold Learning

Other Dimensionality Reduction Methods

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Other Dimensionality Reduction Methods

1 Videos

  • Other Dimensionality Reduction Methods

1 Readings

  • Essential Reading: Other Dimensionality Reduction Methods

Introduction to Anomaly Detection

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Introduction to Anomaly Detection

1 Videos

  • Introduction to Anomaly Detection

1 Readings

  • Essential Reading: Introduction to Anomaly Detection

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

    • 1 Assignment
Show info about module content

1 Assignment

  • Graded Quiz: Data-Driven Customer Segmentation and Dimensionality Reduction

Normal PCA Anomaly Detection

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Normal PCA Anomaly Detection

1 Videos

  • Normal PCA Anomaly Detection

1 Readings

  • Essential Reading: Normal PCA Anomaly Detection

Sparse and Kernel PCA Anomaly Detection 

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Sparse and Kernel PCA Anomaly Detection

1 Videos

  • Sparse and Kernel PCA Anomaly Detection

1 Readings

  • Essential Reading: Sparse and Kernel PCA Anomaly Detection

Random Projection Anomaly Detection

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Random Projection Anomaly Detection

1 Videos

  • Random Projection Anomaly Detection

1 Readings

  • Essential Reading: Random Projection Anomaly Detection

Nonlinear Anomaly Detection

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Nonlinear Anomaly Detection

1 Videos

  • Nonlinear Anomaly Detection

1 Readings

  • Essential Reading: Nonlinear Anomaly Detection

Introduction to Autoencoders

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Introduction to Autoencoders

1 Videos

  • Introduction to Autoencoders

1 Readings

  • Essential Reading: Introduction to Autoencoders

Types of Autoencoders

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Types of Autoencoders

1 Videos

  • Types of Autoencoders

1 Readings

  • Essential Reading: Types of Autoencoders

Market Basket Analysis: Part 1

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Market Basket Analysis: Part 1

1 Videos

  • Market Basket Analysis: Part 1

1 Readings

  • Essential Reading: Market Basket Analysis: Part 1

Market Basket Analysis: Part 2

    • 1 Videos
    • 1 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Market Basket Analysis: Part 2

1 Discussions

  • Application of Unsupervised Learning for Market Basket Analysis

1 Videos

  • Market Basket Analysis: Part 2

1 Readings

  • Essential Reading: Market Basket Analysis: Part 2

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

    • 1 Assignment
Show info about module content

1 Assignment

  • Graded Quiz: Anomaly Detection, Autoencoders, and Association Learning

Semi-Supervised Learning

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Semi-Supervised Learning

1 Videos

  • Semi-Supervised Learning

1 Readings

  • Essential Reading: Semi-Supervised Learning

Supervised model

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Supervised model

1 Videos

  • Supervised model

1 Readings

  • Essential Reading: Supervised model

Unsupervised Model

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Unsupervised Model

1 Videos

  • Unsupervised Model

1 Readings

  • Essential Reading: Unsupervised Model

Semi-Supervised Model

    • 1 Videos
    • 1 Readings
    • 1 Discussion
    • 1 Assignment
Show info about module content

1 Assignment

  • Semi-Supervised Model

1 Discussions

  • Semisupervised Learning and Its Applications in Marketing

1 Videos

  • Semi-Supervised Model

1 Readings

  • Essential Reading: Semi-Supervised Model

Boltzmann Machines

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Boltzmann Machines

1 Videos

  • Boltzmann Machines

1 Readings

  • Essential Reading: Boltzmann Machines

Recommender Systems

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Recommender Systems

1 Videos

  • Recommender Systems

1 Readings

  • Essential Reading: Recommender Systems 

Collaborative Filtering Using RBMs

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Collaborative Filtering Using RBMs

1 Videos

  • Collaborative Filtering Using RBMs

1 Readings

  • Essential Reading: Collaborative Filtering Using RBMs

Future of Unsupervised Learning

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Future of Unsupervised Learning

1 Videos

  • Future of Unsupervised Learning

1 Readings

  • Essential Reading: Future of Unsupervised Learning

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

    • 1 Assignment
Show info about module content

1 Assignment

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

Course Wrap up video

    • 1 Videos
Show info about module content

1 Videos

  • Course Wrap-up

Auto Summary

Unlock the potential of data-driven marketing with the "Unsupervised Learning and Its Applications in Marketing" course. Ideal for sales and marketing professionals, this course, led by Coursera, delves into clustering, dimensionality reduction, and association rule mining using Python. Over 1320 minutes, you'll learn to identify customer segments and uncover consumer insights. Available with Starter and Professional subscriptions, this foundational course requires basic Python knowledge and Anaconda navigator software. Join now to enhance your marketing strategies through unsupervised machine learning.

Ambica Ghai
Instructor

Ambica Ghai