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.

Taught in English

Ambica Ghai
Prof. Lalit Pankaj
Dr. Janardan Krishna Yadav

Instructors: Ambica Ghai

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.6

(7 reviews)

Beginner level

Recommended experience

3 months at 10 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.6

(7 reviews)

Beginner level

Recommended experience

3 months at 10 hours a week
Flexible schedule
Learn at your own pace

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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

Category: Google Analytics
Category: Performance Indicator
Category: Ad Campaigns on Google Ads
Category: Digital marketing plan
Category: Digital marketing techniques

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

Category: Significance of text mining for marketing
Category: Customer feedback analysis
Category: Sentiment Analysis
Category: Text mining techniques
Category: clustering

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

Category: Decision Theory
Category: Decision-Making
Category: Marketing Analytics
Category: Data analytics techniques

Text Mining for Marketing

Course 420 hours

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

Category: Anomaly Detection
Category: Dimensionality Reduction
Category: Unsupervised Learning
Category: K-Means Clustering
Category: Association Learning

Digital Marketing Analytics

Course 516 hours

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

Category: Performance Indicator
Category: regression
Category: Supervised Learning
Category: classification
Category: visualization

Instructors

Ambica Ghai
O.P. Jindal Global University
2 Courses873 learners
Prof. Lalit Pankaj
O.P. Jindal Global University
2 Courses384 learners

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