Big Data Analytics
Methodological Training in Statistical Data Science
Three-day training course
May 29-31, 2017
October 16-18, 2017
in Berne, Switzerland
given by Prof. Dr. Diego Kuonen, CStat PStat CSci, Statoo Consulting
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
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
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
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.