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Customer Analytics Online Courses From Top Universities

Customer Analytics Online Courses From Top Universities blogerdoblog xcbzdfzsdgdfzggdfh
This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.
Created by:Partner logo
Industry Partners
4 Courses
Complete 4 courses in the suggested order.
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Capstone Project
Tackle the Capstone Project, designed to apply skills you’ve learned.
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Certificate
Earn a Certificate to share your success with the world.
Courses
Beginner Specialization. No prior experience required.
COURSE 1
Customer Analytics
Upcoming session: Aug 15 — Sep 26.
Commitment
4 weeks of study, 5-6 hours/week

Customer Analytics Online Courses From Top Universities blogerdoblog xcbzdfzsdgdfzggdfh
About the Course
Data about our browsing and buying patterns are everywhere.  From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to describe our past buying behaviors, predict future ones, and prescribe new ways to influence future purchasing decisions. In this brand new course, four of Wharton’s top marketing professors will dive deeper into the key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices including Amazon, Google, and Starbucks to name a few. By the end of this course, you’ll understand how data is used to describe, explain, and predict customer behavior; best practices for using this data to prescribe more effective business strategies; and how successful companies are currently using such data to meet (and shape) customer needs, and to increase their bottom line in the process.  This course has been designed to help you make better business decisions about emerging data structures, so that you can apply what you’ve learned to your own company or business today.
WEEK 1
Introduction to Customer Analytics
What is Customer Analytics? How is this course structured? What will I learn in this course? What will I learn in the Business Analytics Specialization? These short videos will give you an overview of this course and the specialization; the substantive lectures begin in Week 2.
Video · Course Introduction and Overview
Video · Overview of the Business Analytics Specialization
WEEK 2
Descriptive Analytics
In this module, you’ll learn what data can and can’t describe about customer behavior as well as the most effective methods for collecting data and deciding what it means. You’ll understand the critical difference between data which describes a causal relationship and data which describes a correlative one as you explore the synergy between data and decisions, including the principles for systematically collecting and interpreting data to make better business decisions. You’ll also learn how data is used to explore a problem or question, and how to use that data to create products, marketing campaigns, and other strategies. By the end of this module, you’ll have a solid understanding of effective data collection and interpretation so that you can use the right data to make the right decision for your company or business.
Video · What is Descriptive Analytics?
Video · Descriptive Data Collection
Video · Passive Data Collection
Video · Media Planning
Video · Causal Data Collection and Summary
Quiz · Descriptive Analytics Quiz
Reading · Descriptive Analytics Slides
Reading · Additional Readings: Descriptive Analytics
WEEK 3
Predictive Analytics
Once you’ve collected and interpreted data, what do you do with it? In this module, you’ll learn how to take the next step: how to use data about actions in the past to make to make predictions about actions in the future. You’ll examine the main tools used to predict behavior, and learn how to determine which tool is right for which decision purposes. Additionally, you’ll learn the language and the frameworks for making predictions of future behavior. At the end of this module, you’ll be able to determine what kinds of predictions you can make to create future strategies, understand the most powerful techniques for predictive models including regression analysis, and be prepared to take full advantage of analytics to create effective data-driven business decisions.
Video · Introduction to Predictive Analytics
Video · Asking Predictive Questions
Video · Regression Analysis, Part 1: The Demand Curve
Video · Regression Analysis, Part 2: Making Predictions
Video · Beyond Period 2
Video · Making Predictions Using a Data Set
Video · Data Set Predictions: Mary, Sharmila, or Chris?
Video · Probability Models
Video · Implementation of the Model
Video · Results and Predictions
Quiz · Predictive Analytics Quiz
Reading · Reading: Customer Lifetime Value
Reading · Predictive Analytics and Regression Analysis Slides
Reading · Implementation of the Model Spreadsheet
Reading · Additional Readings: Predictive Analytics
WEEK 4
Prescriptive Analytics
How do you turn data into action? In this module, you’ll learn how prescriptive analytics provide recommendations for actions you can take to achieve your business goals. First, you’ll explore how to ask the right questions, how to define your objectives, and how to optimize for success. You’ll also examine critical examples of prescriptive models, including how quantity is impacted by price, how to maximize revenue, how to maximize profits, and how to best use online advertising. By the end of this module, you’ll be able to define a problem, define a good objective, and explore models for optimization which take competition into account, so that you can write prescriptions for data-driven actions that create success for your company or business.
Video · Introduction
Video · What is Prescriptive Analytics?
Video · Using the Data to Maximize Revenue
Video · Parameters of the Model
Video · Market Structure
Video · Competition and Online Advertising Models
Video · Conclusion(s)
Quiz · Prescriptive Analytics Quiz
Reading · Prescriptive Analytics Slides
WEEK 5
Application/Case Studies
How do top firms put data to work? In this module, you’ll learn how successful businesses use data to create cutting-edge, customer-focused marketing practices. You’ll explore real-world examples of the five-pronged attack to apply customer analytics to marketing, starting with data collection and data exploration, moving toward building predictive models and optimization, and continuing all the way to data-driven decisions. At the end of this module, you’ll know the best way to put data to work in your own company or business, based on the most innovative and effective data-driven practices of today’s top firms.
Video · Introduction to Application to Analytics
Video · The Future of Marketing is Business Analytics
Video · The Golden Age of Marketing
Video · Applications: ROI
Video · Radically New Data Sets in Marketing
Video · The Perils of Efficiency
Video · Analytics Applied: Kohl's, NetFlix, AmEx and more
Video · Conclusion
Quiz · Applications
Reading · Application/Case Study Slides
Reading · Additional Reading: the Power of Data
Customer Analytics Online Courses From Top Universities blogerdoblog xcbzdfzsdgdfzggdfh