Dig. Analytics Measurement

3 Credits · Level: Graduate

This course will provide students with a solid foundation and working knowledge of digital analytics strategies and tactics. Students will learn how to use leading digital analytics tools, how to gather data, how to turn data into insights, and how to present and communicate data-driven information to clients and executives. We will review digital analytics for websites, apps, social media, paid marketing, and other digital marketing channels. Students will also learn about Excel, competitive analysis frameworks and tools, A/B testing, attribution models and data visualization. Finally, this course will enhance the quantitative skills of students, by using and computing e.g. ROI, profit margins and paid campaign costs. Data analysis, in many cases, is a bit like a police investigation: you are a detective and need to find the clues to explain the story that is hiding in the data. Luckily, we are not chasing criminals in this course, but we need to gather evidence, “interview” the data, put it in context by linking it to our knowledge of the world (e.g. industry baselines or historical data), check if there are any errors or biases in it and come up with the most plausible explanations. From this, we develop data-driven insights and actionable recommendations. This course requires surprisingly little math and statistics knowledge (a middle school level is enough: basic operations, computing percentages and reading basic graphs). However, critical thinking is key here: is the data right? What do we see? What do these numbers mean? How does it fit in the greater context and compared with our benchmarks?