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Data processing and data analysis

Data Visualization

Visualization is an important tool for experts in different fields (e.g., social sciences, bioinformatics, digital humanities, sports) to get an overview of data distributions and insights into prevailing data patterns in an understandable, intuitive and visual form. This course introduces the principles behind visualization, as well as the most common visualization techniques.

Data processing and data analysis

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Introduction to Machine Learning

This course provides basic skills to understand and implement simple machine learning algorithms. The course introduces the most fundamental concepts of machine learning, with a focus on supervised cases where observations are accompanied by a target result. The course provides both an overview of main theoretical properties of established algorithms and examples of their implementation with state-of-the-art technologies.

Data processing and data analysis

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Mathematical Optimisation

Many real-world decision-making processes involving finding an optimal action can be formulated mathematically as optimization problems, and thus solved to optimality with existing software (e.g., CPLEX, Gurobi, Google OR-Tools, etc.). The course provides an introduction to these mathematical models and how to use them in practical decision-making problems. The course also discusses how collected data can be used not only to describe and predict current and future processes, but also to change them so that managed to optimise resource use and achieve desired outcomes.

Data processing and data analysis

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