O.P. Jindal Global University
Machine Learning for Marketing Specialization
O.P. Jindal Global University

Machine Learning for Marketing Specialization

Learn Machine Learning Techniques in Marketing. This 5-course Specialization from Jindal Global Business School (JGBS) is for marketing professionals, and anyone interested in gaining greater knowledge of how to conceptualize effective marketing strategies and decisions using Machine Learning (ML) and Decision Science.

Ambica Ghai
Prof. Lalit Pankaj
Dr. Janardan Krishna Yadav

Instructors: Ambica Ghai

Included with Coursera Plus

Get in-depth knowledge of a subject

(12 reviews)

Beginner level

Recommended experience

3 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(12 reviews)

Beginner level

Recommended experience

3 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • 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.

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
179 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from O.P. Jindal Global University

Specialization - 5 course series

What you'll learn

  • Apply Python as an effective tool for supervised learning techniques.

  • Develop and train supervised machine learning models for classification and regression tasks.

  • Interpret and analyze various applications of supervised learning in marketing.

  • Describe the deployment of machine learning models and the challenges encountered in the deployment.

Skills you'll gain

Supervised Learning, Customer Retention, Customer Insights, Predictive Analytics, Marketing Analytics, Applied Machine Learning, Marketing, Python Programming, Application Deployment, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Personalized Service, and Marketing Strategies

What you'll learn

  • Apply Python as an effective tool for implementing various algorithms.

  • Describe unsupervised learning and list its various algorithms.

  • List the various applications and promising areas for the application of unsupervised learning.

Skills you'll gain

Unsupervised Learning, Dimensionality Reduction, Anomaly Detection, Customer Analysis, Machine Learning Algorithms, Marketing, Artificial Neural Networks, Customer Insights, Python Programming, Exploratory Data Analysis, Marketing Analytics, Unstructured Data, Market Analysis, Data-Driven Decision-Making, Algorithms, Target Audience, Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Mining, and Statistical Machine Learning

What you'll learn

  • Demonstrate a solid understanding of the decision-making process through data analytics.

  • Visualize and imagine the application of data analytics techniques to real-world marketing problems.

  • Explain how marketing analytics and decision science approaches for marketing can enhance the quality of marketing decision-making.

Skills you'll gain

Customer Retention, Predictive Analytics, Loyalty Programs, Customer Acquisition Management, Customer experience improvement, Marketing Strategies, Customer Insights, Consumer Behaviour, Data-Driven Decision-Making, Personalized Service, Customer Analysis, Business Analytics, and Marketing Analytics

What you'll learn

  • Comprehend what text mining is, what it accomplishes, and what use cases it can be put to in the marketing discipline.

  • Examine how theoretical issues are translated into practical applications in text mining for the marketing domain.

  • Identify the potent analytical techniques that you can apply to text and other types of data.

  • Explain what constitutes sound practices and what does not while analyzing texts for decision-making in marketing.

Skills you'll gain

Text Mining, Marketing, Unstructured Data, Data Quality, Brand Awareness, Customer Insights, Predictive Analytics, Natural Language Processing, Machine Learning, Data Ethics, Marketing Analytics, and Data Mining

What you'll learn

  • Describe consumer journey, intent, and activity on your business website or landing pages.

  • Discuss the various digital marketing platforms, their nature, the business elements to create a digital marketing strategy, and various KPIs.

  • Explain Google Analytics, its importance and data insights that businesses can leverage upon, and how GA4 is different from Universal Analytics.

  • Analyze how to understand and fine-tune the brand image and market objectives from various KPIs.

Skills you'll gain

Digital Marketing, Emerging Technologies, Marketing Planning, Google Analytics, Digital Advertising, Online Advertising, Social Media, Search Engine Optimization, Search Engine Marketing, Google Ads, Blogs, Paid media, Social Media Marketing, Keyword Research, Marketing Analytics, Web Analytics and SEO, Marketing Channel, Advertising, Web Analytics, and Marketing Strategies

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Ambica Ghai
O.P. Jindal Global University
2 Courses1,811 learners
Prof. Lalit Pankaj
O.P. Jindal Global University
2 Courses774 learners
Dr. Janardan Krishna Yadav
O.P. Jindal Global University
1 Course2,212 learners

Offered by

Compare with similar products

Rating
Level
Skills
Tools
Last updated
Number of practice exercises
Degree eligibility
Part of Coursera Plus

You might also like

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions