LFU:online

Students gain insight into analytical methods and practice analytical skills in the systematic collection, preparation, analysis, and interpretation of data to improve strategic decisions.

In this class, students will learn to understand and apply advanced tools for business analytics. We will develop conceptual and mathematical foundations. Then, we will apply these foundations to analytical questions using R (a language for statistical computing). The course will be accompanied by a learning module in DataCamp, which students can use to acquire basic programming skills, and extend existing knowledge. We will solve simple isolated exercises, as well as more involved issues in business case studies. After completing this course, students will be able to manage and execute data science and analytics tasks, and understand how these tasks contribute to corporate strategy and competitive advantage. Students taking this class are expected to have a basic understanding of statistics. Although they are helpful, no prior experience with programming languages is required.

The class is a workshop-style course, with many interactive elements. Students are expected to give presentations, provide feedback on each other’s work, and discuss their progress with instructors. The class is also accompanied by an online teaching module, which forms an inherent part of teaching and student evaluation in this class. This online module is provided by DataCamp, a leading provider of online resources for data science training.

Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani: „An Introduction to Statistical Learning with Applications in R”

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