Banking & Financial Services

Analytics for Customer Engagement – Part 2 of 3

This is the second course of the 3 applied courses focused on the application of analytics in banking and financial services and explores the role of data analytics in customer engagement management.

  • icon-data 5 Data Cases
  • icon-reading 2 Readings
  • icon-quiz 5 Quizzes
Application Of Analytics For Customer Acquisition In Banking & Financial Services 
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    Difficulty: Intermediate

    Foundational knowledge or experience in statistics or analytics is recommended.

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    Duration: Approximately 5 hours

Course Overview

  • Customer engagement is extremely important for successful operation of any business.
  • Understand the role of data analytics in strengthening the different components of a customer engagement strategy.
  • Develop an understanding of the nuances of customer engagement and the role of analytics in improving customer engagement.
  • Gain a hands-on practical experience based on the theoretical concepts in 5 real-world business case scenarios.

What’s included

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Lifetime Access

Access this project for life once completed

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Flexible Scheduling

Start learning online immediately, at your own pace

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Desktop Only

We recommend completing this project on a desktop

Skills You Will Learn

Customer Engagement Strategies

Call Reasons Analysis

Redemption Reasons Analysis

Descriptive Analytics

Predictive Analytics

Customer Engagement Analytics

Associated Learning Tracks

Syllabus

Overview of Customer Engagement -Importance of Customer Engagement – Primary Goals of Customer Engagement- Descriptive Statistics

Customer Engagement- Questions to Solve -Predictive Modeling for Customer Engagement – 3 Streams of Analytics

How it Works

Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.

With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.

Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.

Complete courses to earn sharable certificates and badges. These awarded items will be look great in your portfolio as you showcase your skills and project experience to employers and colleagues.

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Planning & Analytics @ Brooks Brothers
WHAT THE COMMUNITY SAYS ABOUT US

“Great way to learn data analytics and data science”

Balaji Reddy
Manager – Applications Development
WHAT THE COMMUNITY SAYS ABOUT US

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Student At Ohio Wesleyan University
All the Most Frequently Asked Questions

What People Are Asking About Data Education

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