Customer Data Analytics for Marketers
About this Course
This course introduces marketing data analytics, focusing on the crucial concepts of correlation and causality. Learners will explore statistical concepts and tools to analyze and interpret marketing data, leading to more informed and impactful marketing strategies. The course begins with core statistical concepts, such as standard deviation, variance, and normal distributions, in the context of marketing decisions. It shows how to visualize correlations and causal networks using techniques such as Structural Equation Modeling (SEM) and Path Analysis. The course discussions of analytics ethics, guiding participants to identify and avoid common pitfalls in data interpretation. This course is an invaluable resource for anyone looking to enhance their marketing strategies through trustworthy data-driven insights.Created by: University of Colorado System
Related Online Courses
Embark on a deep dive with \"Strategies for Audience Growth and Promoting Music Brands,\" the second course in the \"Building Your Audience for Music Professionals\" Specialization. Tailored for... more
This course provides an in-depth analysis of Macroeconomic Financial Accounts. Each module will delve into one specific Institutional Sector of the National Economy i.e., Financial and... more
Our \"Programming with Generative AI\" course takes you on a practical journey, exploring how generative AI tools can transform your coding workflow. Whether you\'re a software developer, tech... more
In this hands-on guided project, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source... more
This course provides a comprehensive exploration of statistical relationships, focusing on the principles and applications of correlation and contingency tables. Students will learn to identify... more
Powered by
