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.

AI Applications in Marketing and Finance
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AI Applications in Marketing and Finance
This course is part of AI For Business Specialization



Instructors: Michael R Roberts
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Gain insight into a topic and learn the fundamentals.
9 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Machine Learning
- Customer Insights
- Big Data
- Marketing Analytics
- Risk Analysis
- Risk Modeling
- Data-Driven Marketing
- Driving engagement
- Artificial Intelligence and Machine Learning (AI/ML)
- Data-Driven Decision-Making
- Machine Learning Methods
- Credit Risk
- Customer Engagement
- Digital Transformation
- Personalized Service
- Applied Machine Learning
- Financial Data
- Risk Management
- AI Personalization
Tools you'll learn
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Assessments
8 assignments
Taught in English
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This course is part of the AI For Business Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Develop job-relevant skills with hands-on projects
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