New: Data Analytics and Machine Learning (S) (03SEDOEC1175)

The course provides an introduction to the intuition, concepts, aims, and properties of data analytics and machine learning for a data-driven analysis of business processes (like customer behavior, production, turnover...). The course covers the following topics:

• Data visualization and descriptive statistics (e.g. the average or variability of prices)
• Regression: analyzing associations between business factors (like marketing and sales)
• Intuition of machine learning for optimally forecasting future business outcomes (e.g. sales), based on information in past data (e.g. price, quality, competition)
• Important concepts of machine learning: alternative algorithms (e.g. decision trees, random forests, lasso, boosting...), performance assessment, and tuning algorithms
• Business cases and practical examples with real data using graphical interfaces in web applications or the flow-chart software "KNIME" (no programming required)

The seminar is limited to a maximum of 70 students. Application for this seminar is via the module booking tool studentservices.uzh.ch/uzh/launchpad

CV and a short motivation letter

Please be aware that the periods for booking and un-booking seminars differs form the regular module booking period for lectures.

• To understand the idea and goals of data analytics and machine learning
• To understand the intuition, advantages, and disadvantages of alternative methods
• To be able to apply the methods to real-world data using the software "KNIME"