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Information Technology
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AI Applications in Marketing and Finance

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Coursera

4.5

(1)

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Course Features

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Duration

7 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

7 hours

Course Description

This course will teach you about AI-powered apps that can improve customer experience and extend customer lifecycle. This course will teach you how AI-powered data can be used to analyse consumer behavior and optimize your marketing targeting to the right people. Learn about fraud and credit risks as well as how AI applications can help you fight the ever-changing landscape of protecting consumer data. Learn how to use supervised and unsupervised machines learning to improve your fraud detection. Experts in data analytics, marketing and fraud prevention will be sharing their expertise with you. This course will give you a solid understanding of AI and Machine Learning's role in consumer behavior and how they can interact with information to improve your company's deep learning potential.

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Highlights

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Pedagogy

Top 30 Percentile

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Rating & Reviews

Top 30 Percentile

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Parameters

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Pedagogy

This course empowers you with essential Application Development skills, enabling practical application in your daily life. Gain proficiency to effectively apply these skills in real-world situations, enhancing your capabilities and experiences. An exceptional course in Application Development, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs. With a focus on cultivating industry-relevant skills, this course ensures that learners attain a skillset aligned with current industry demands.

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Rating & Reviews

This highly acclaimed course is among the top-rated in Application Development, boasting a rating greater than 4 and an overall rating of 4.6. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in Application Development.

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Course Overview

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

This course will teach you about how ai-powered apps can improve customer journeys and extend customer lifecycles

Course Instructors

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Michael R Roberts

Finance

Michael R. Roberts is the William H. Lawrence Professor of Finance at the Wharton School of the University of Pennsylvania. Professor Roberts earned his BA in Economics from the University of Califor...
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Raghu Iyengar

The Wharton School

Professor Raghu Iyengar's research investigates how consumers respond to nonlinear pricing schemes. Recently, Iyengar considered the impact of nonlinear pricing schemes within wireless services and m...
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Kartik Hosanagar

Wharton School

Kartik Hosanagar is a Professor at The Wharton School of the University of Pennsylvania. Kartik's research work focuses on the digital economy, in particular Internet media, Internet marketing and e-...
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Course FAQs

When will I have access to the lectures and assignments?

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Is financial aid available?

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