Data Science in Business Analytics
- Teacher(s):
- Course given in: English
- ECTS Credits:
- Schedule: Autumn Semester 2021-2022, 4.0h. course (weekly average)
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Related programmes:
Master of Science (MSc) in Management, Orientation Strategy, Organization and Leadership
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ObjectivesUpon completion of that course the students will be able to - Manage and analyze data, - Use data science in a business context. ContentsThe aim of this course is to learn the most important tools to use data science in a business context, and includes concepts from statistics and computer science:
"Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualizing, and exploring data." – Hadley Wickham
The course will cover the following topics:
1) Explore
2) Wrangle
3) Model
4) Communicate
The class will be hands-on and centered around data: bring your laptop to lectures! ReferencesThere will be no mandatory reading. However, the following references will be useful:
Wickham, H., & Grolemund, G. (2016). R for Data Science. O’Reilly Media. Wickham, H. (2014). Advanced R. Chapman & Hall/CRC The R Series. Pre-requisitesNo prior knowledge of data science is necessary. However, students are assumed to have a firm command of basic statistics and to be comfortable with (or at least interested in) computer programming. EvaluationFirst attempt
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