Marketing analytics is receiving great attention because of evolving technology and the radical changes in the marketing environment. This study aims to assist the design and implementation of a marketing analytics course. We assembled a rich data set from four sources: business executives, 400 employers' job postings, one million tweets about marketing analytics from Twitter, and 13 course syllabi downloaded from the Internet. We apply text-mining techniques to generate insights from this big data set of electronic texts. By integrating insights from marketing practitioners and professors, we have designed a marketing analytics course and offer solutions for better structuring such courses. This study provides suggestions for marketing educators.