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Christian Alexander Hildebrand

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University of St.Gallen
University of St. Gallen

Course location

University of St.Gallen

Home university

University of St. Gallen
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Christian Hildebrand is Executive Director of the “Institute of Behavioral Sciene & Technology” and Full Professor of Marketing Analytics at the University of St. Gallen. He had doctoral and post-doctoral visits at Stanford University, Duke University, and the University of Michigan. His research focuses on leveraging consumer insights from unstructured data (text, voice, image, sensor data) and optimizing consumer-firm interfaces using mobile devices, digital voice assistants, and chatbots. His research has been published in leading academic journals across disciplines (marketing, psychology, and information systems) and he is on the editorial board of the Journal of Consumer Research and the International Journal of Research in Marketing. He is frequently working with corporations across industries from consumer electronics (e.g., Logitech) to automotive (e.g., Audi) and the financial industry (e.g., SwissRe).

Courses taught by this instructor

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Workshop Lectures on Statistics with R

This course is an introduction to the statistical computing environment R. In this course, you will learn how to interact with, process, analyze and visualize data in R. The main objective of this course is to familiarize participants with R and to develop competencies to effectively work on their own research projects with R. This course is also helpful as a primer for other summer program courses such as Advanced Regression or Data Mining.
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B

2024

Workshop Lectures on Statistics with R

This course is an introduction to the statistical computing environment R. In this course, you will learn how to interact with, process, analyze and visualize data in R. The main objective of this course is to familiarize participants with R and to develop competencies to effectively work on their own research projects with R. This course is also helpful as a primer for other summer program courses such as Advanced Regression or Data Mining.
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