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Machine Learning for Marketing

Ambica Ghai, Dr. Janardan Krishna Yadav, Prof. Lalit Pankaj, and Ambica Ghai

Understand the structure and techniques used in Machine Learning, Text Mining, and Decision Science for Marketing. Explore the fascinating world of Machine Learning and its transformative applications in marketing. Explain how analytics and decision science approaches for marketing can enhance the quality of marketing decision-making. Foundation in digital marketing analytics to understand the consumer journey, intent, and activity on your business website.

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What's inside

Five courses

Supervised Learning and Its Applications in Marketing

(0 hours)

Welcome to the Supervised Learning and Its Applications in Marketing course! Supervised learning is the process of making an algorithm to learn to map an input to a particular output. Supervised learning algorithms can help make predictions for new unseen data. In this course, you will use the Python programming language to learn supervised learning techniques like regression and classification. We will focus on the applications of these techniques in marketing.

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Unsupervised Learning and Its Applications in Marketing

(0 hours)

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 marketing. Through hands-on exercises and real-world examples, you will learn how to leverage unsupervised learning algorithms to identify customer segments, uncover meaningful relationships between variables, and gain valuable insights into consumer behavior.

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Introduction to Decision Science for Marketing

(0 hours)

Welcome to Introduction to Decision Science for Marketing! This course introduces the principles and methods of data analytics as they apply to marketing. You will learn how and why to use data and analytics to inform marketing decisions and strategies.

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Text Mining for Marketing

(0 hours)

Welcome to Text Mining for Marketing! This course will introduce you to the principles and methods of text mining for marketing. You will learn how and why to use text mining to inform marketing decisions and strategies. This course is for everyone interested in practical applications of text mining in marketing. After completing this course, you will develop a basic understanding of how to use text mining techniques for marketing decisions.

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Digital Marketing Analytics

(0 hours)

Welcome to the Digital Marketing Analytics course! We live in an era of digital technology and most marketing activities are shifting to digital platforms. It is indispensable for businesses to proactively take action on their websites, social media, blogs, and other digital platforms and to carefully examine the intent and action data of the consumers.

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Learning objectives

you will create a digital marketing plan and an ad campaign on google ads using kpis to evaluate the performance of campaigns.
you will use google analytics, google search engine, python programming language, and anaconda navigator to make informed marketing decisions.

you will also use text mining techniques for sentiment analysis and customer feedback analysis in marketing.

you will create a digital marketing plan and an ad campaign on google ads using kpis to evaluate the performance of campaigns.
you will use google analytics, google search engine, python programming language, and anaconda navigator to make informed marketing decisions.
you will also use text mining techniques for sentiment analysis and customer feedback analysis in marketing.

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Time

100 hours

Level

Introductory

Via

Coursera

Institution

O.P. Jindal Global University

Instructors

Ambica Ghai

Dr. Janardan Krishna Yadav

Prof. Lalit Pankaj

Ambica Ghai

Level

Introductory

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