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AntBig Data Analytics - Methodological Training in Statistical Data Science, July 2-4, 2019, Berne, Switzerland
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Big Data Analytics
Methodological Training in Statistical Data Science

Three-day training course

July 2-4, 2019

in Berne, Switzerland

given by Prof. Dr. Diego Kuonen, CStat PStat CSci, Statoo Consulting

Detailed description of the training.

There is no question that `big data' (i.e. the simple yet seemingly revolutionary belief that data are valuable) and `machine learning' (i.e. simply put, a field of advanced statistics designed for a world of `big data') have hit business and industry, academia, engineering and government. The demand for skills in data science - a rebranding of data mining - is unprecedented in sectors where value, competitiveness and efficiency are driven by data. Nowadays, this is amplified by the digital transformation and the related data revolution.

Data mining technology and methodology have been applied to understand and to optimise various processes within business and industry, academia, engineering and government. It is widely believed that data mining will have a profound impact on our society and that data mining can bring real value. But how can data mining contribute to achieving operational excellence? Is data mining worth the trouble or is it `statistical déjà vu'?

This three-day training course will provide you with an overview of the potential and limitations of data mining and with a thorough methodological, practical and, most importantly, software-vendor independent coverage of state-of-art data mining techniques (e.g. from statistics, machine learning and artificial intelligence). It highlights its applicability to accumulated data, and it will enable you to apply the presented methodology and its underlying philosophy to benchmark or your own data.

You can find a detailed description of the training here and to register please fill out the registration form.

Please do not hesitate to contact us if you have any questions.

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Last updated on November 01, 2019.