Course

Meaningful Marketing Insights

Emory University

Gain the skills to interpret consumer data and extract valuable marketing insights with Emory University's course, "Meaningful Marketing Insights." Through this comprehensive course, you will learn to leverage tools such as exploratory data analysis and regression methods in Microsoft Excel to understand and predict consumer behavior.

Upon completion of this course, you will be equipped to apply these insights to drive marketing strategies and make informed business decisions. Whether you are a marketing professional or aspiring to step into this field, this course will provide you with the essential knowledge and practical skills to excel in the dynamic world of marketing analytics.

  • Explore tools for converting raw data into actionable marketing insights
  • Understand the impact of marketing activities on sales and consumer choices
  • Learn essential skills using Microsoft Excel for data analysis
  • Gain exposure to customer valuation techniques and inventory management

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Meaningful Marketing Insights
Course Modules

Meaningful Marketing Insights comprises five modules that cover essential topics such as exploratory data analysis, regression methods, and customer valuation. Gain practical skills in Microsoft Excel for marketing analytics.

Meet Dr. Schweidel & Course Overview

Meet Dr. Schweidel and get an overview of the course objectives. Learn about the exercises and quizzes, and introduce yourself to the learning community.

Exploring your Data with Visualization and Descriptive Statistics, Part 1

Explore data visualization and descriptive statistics, starting with examples from political advertising expenditures and performing arts centers. Understand the organization and analysis of data, with a focus on categorical variables in the motion picture industry.

Exploring your Data with Visualization and Descriptive Statistics, Part 2

Continue exploring data visualization and descriptive statistics in Excel, focusing on conditional distributions, qualitative variables, and constructing histograms. Learn common descriptive statistics for quantitative data and work on a survey analysis assignment.

Regression Analysis for Marketing Data

Delve into regression analysis for marketing data, including customer analytics and modeling. Understand customer choices' impact on business decisions, and learn about logit v. probit models through practical examples.

From Analysis to Action

Conclude the course by learning how to translate analysis into action, with demonstrations on customer valuation and inventory management in Excel. Understand the implications of big data on customer value and analyze acquisition and retention strategies.

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