Emory University - Meaningful Marketing Insights
- Offered byCoursera
Meaningful Marketing Insights at Coursera Overview
Duration | 10 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Meaningful Marketing Insights at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 6 in the Foundations of Marketing Analytics Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level
- Approx. 10 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Portuguese (Brazilian), Vietnamese, German, Russian, English, Spanish
Meaningful Marketing Insights at Coursera Course details
- With marketers are poised to be the largest users of data within the organization, there is a need to make sense of the variety of consumer data that the organization collects. Surveys, transaction histories and billing records can all provide insight into consumers? future behavior, provided that they are interpreted correctly. In Introduction to Marketing Analytics, we introduce the tools that learners will need to convert raw data into marketing insights. The included exercises are conducted using Microsoft Excel, ensuring that learners will have the tools they need to extract information from the data available to them. The course provides learners with exposure to essential tools including exploratory data analysis, as well as regression methods that can be used to investigate the impact of marketing activity on aggregate data (e.g., sales) and on individual-level choice data (e.g., brand choices).
- To successfully complete the assignments in this course, you will require Microsoft Excel. If you do not have Excel, you can download a free 30-day trial here: https://products.office.com/en-us/try
Meaningful Marketing Insights at Coursera Curriculum
Meet Dr. Schweidel & Course Overview
Meet Dr. Schweidel
Getting Started
A Note About Exercises & Quizzes
Exploring your Data with Visualization and Descriptive Statistics, Part 1
Course Objectives & Example 1: Political Advertising Expenditures
Course Goals & Example 2: Performing Arts Centers
Organizing Data
The Motion Picture Industry
How Companies Learn Your Secrets
Big Data in the Big Apple
Motion Picture Industry Example Data Set
Module 2 Quiz
Exploring your Data with Visualization and Descriptive Statistics, Part 2
Excel Analysis of Motion Picture Industry Data
Displaying Conditional Distributions
Analyzing Qualitative Variables
Steps in Constructing Histograms
Common Descriptive Statistics for Quantitative Data
Giving Viewers What They Want
Why Personalization is Key for Content Marketing
Assignment: Survey Analysis Assignment
Module 3 Quiz
Regression Analysis for Marketing Data
Regression-Based Modeling
Introduction to Customer Analytics
Customer Choices Drive Business Decisions
Illustrating Customer Analytics in Excel
How to Find Your Most Valuable Customers
Assignment: Customer Acquisition Example
Module 4 Quiz
From Analysis to Action
Customer Valuation Excel Demonstration
Inventory Management Excel Demonstration
Encouraging TV Binge Watching May Backfire On Advertisers
Use Big Data to Create Value for Customers, Not Just Target Them
Assignment: Using Regression for Inventory Management
Module 5 Quiz
Meaningful Marketing Insights at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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