In this course you will work through a customer analytics project from beginning to end, using R. You will start by gaining an understanding of the problem and the context, and continue to clean, prepare and explore the relevant data. You’ll work on feature engineering, handling dates, summarization, and how to work with the customer lifecycle concept in data analysis. The course culminates with a report that you will write, and a recommendation that you will prepare for a hypothetical company.
Mr. Karolis Urbonas
Mr. Karolis Urbonas, currently Head of Data Science, Amazon Devices, is a passionate data leader who has vast hands-on experience in building data science projects that have shaped and disrupted the business strategies of global companies. Karolis has been working with data and its applications for more than 10 years now. Formerly he was leading the applied customer and business analytics unit in Western Union as its head of analytics.
He also writes the blog cyborgus.com, which is where he shares practical tips and tricks in data science.
As a data science executive, he has a demonstrated histor...