Data mining, analytics and applied statisics

Are you (going to start) analysing data to make reliable predictions?

Data is everywhere. Gaining important connections and trends from data requires specific skills and knowledge. The use of statistical methods has broadened in recent years and the importance in application has increased significantly. Not only in classic environments such as laboratories and industry, but in all technical fields. For your organisation, there is also an abundance of valuable information to obtain with applied statistical techniques.

PAO Techniek en Management offers a series of courses in which you gain broad statistical basic knowledge or in which you can opt for further deepening in the specialist courses. Regardless of which (technical) field you are active in. Course leader dr. J.J.M. Rijpkema, senior lecturer in applied statistics (TU/e), will fully inform you in just a few days. In all courses you learn to work with the representative open source software R and you can work your own cases. You can register for individual courses or choose a combination of several courses.

Basic course:
Practical data science - broad basic course in applied statistics

Time series analysis and forecasting - specialise in analysing time series
Data mining and business analytics - deepen your knowledge of big data
Multivariate data analysis - analyse datasets with multiple variables
Essentials of predictive analytics - a quick start with data mining
Design of experiments - design efficient experiments

Curious about the background of course leader Koo Rijpkema and his vision on the importance of data in the world of technology? Read the interview!

Data mining, analytics and applied statisics consists of: