Data Scientistdare-project.eu/wp-content/uploads/2019/09/Poster-Da.Re_2.pdf · Data Scientist The...
Transcript of Data Scientistdare-project.eu/wp-content/uploads/2019/09/Poster-Da.Re_2.pdf · Data Scientist The...
The Data Science Project to Re-image education (Da.Re.) is part of the Erasmus+ program funded by the European Union.
Consulenzae
Data ScientistThe Sexiest Job of the 21st Century
The final goal of this project is to desi-
gn an innovative study curriculum in
Data Science. The consortium carried
out a survey to know the state of the
art of data science according to three
main directives: university training
paths of all levels, market needs and
new training needs.
The results of the survey show the
need, horizontally shared by any kind
of organization, of BRIDGE PERSON:
a figure skilled in data analysis but
also aware of the specific domain of
data.
The Da.Re. curriculum shapes a bridge
person giving competencies in three
main fields, characterised by diffe-
rent specific contents:
Apply to the pilot course!dare-project.eu
Harvard Business Review
In August 2018 an experimental pilot
course was launched for helping in de-
fining the final contents of the curri-
culum. The course is made up by onli-
ne and face-to-face education with
experts from companies: the idea is
that the online education provides
students with the technical knowled-
ge and skills needed to do the practical
training. The residential activity will
be placed in the early 2019, based in
the Marche Region, in ITALY. The par-
ticipants will be challenged in different
case studies to be solved, structured
in the 3 main fields developed for the
online education.
Graph obtained using the correlation between the time series of the EEG (insight)
Empirical distribution of one time series (insight)
Clustering using gaussian mixture models
Retrieval
/ Import
Cleaning
Integration
Transformation
Reduction
Featureextraction
DimensionalityReduction
Clustering
Regression
What to show?
Dimensionalityof data
Types of data to visualise
Principlesof graphical excellence
ConsulenzaeConsulenzae
Bib. Johnson J., Tesei L., Piangerelli M., Merelli E., Paci R., Stojanovic N., Leitão P., Barbosa J., Amador M.BIG DATA: BUSINESS, TECHNOLOGY EDUCATION, AND SCIENCE, Ubiquity 2018
Riccardo Paci, Cristina Cristalli,
Martina Senzacqua
Luca Tesei, Emanuela Merelli, Marco Piangerelli