Description

In this course, you will learn about AI-powered applications that can enhance the customer journey and extend the customer lifecycle. You will learn how this AI-powered data can enable you to analyze consumer habits and maximize their potential to target your marketing to the right people. You will also learn about fraud, credit risks, and how AI applications can also help you combat the ever-challenging landscape of protecting consumer data.

You will also learn methods to utilize supervised and unsupervised machine learning to enhance your fraud detection methods. You will also hear from leading industry experts in the world of data analytics, marketing, and fraud prevention. By the end of this course, you will have a substantial understanding of the role AI and Machine Learning play when it comes to consumer habits, and how we are able to interact and analyze information to increase deep learning potential for your business.

Read more.

Career Relevance by Data Role

The techniques and tools covered in AI Applications in Marketing and Finance are most similar to the requirements found in Data Scientist job advertisements.


Similarity Scores (Out of 100)

Subscribe for updates and new courses
Or create a DataKwery.com account
Fast Facts
Techniques
AlgorithmsArtificial IntelligenceCustomer AnalyticsData AnalysisData AnalyticsData ModelingData ScienceDeep LearningMachine LearningMarketing AnalyticsRecommendation Systems

Similar Opportunities
AI in Practice: Applying AI

edX - Delft University of Technology

Competing in the Age of AI—Virtual

Executive Education - Harvard University

Artificial Intelligence in Marketing

Coursera - University of Virginia

AI & Law

Coursera - Lund University

AI Strategy and Governance

Coursera - University of Pennsylvania