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Educating Data Scientists of the Future
Dr. Kurt Stockinger (presented by Dr. Thilo Stadelmann)
Associate Professor of Computer Science
Zurich University of Applied Sciences
03.02.2014 @ 10th Swiss Big Data User Group Meeting, Zurich, CH
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Zurich University of Applied Sciences
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Dates back to Technikum in Winterthur, Switzerland
Founded in 1874
Since 2007 it is called ZHAW:
• Integration of various universities of applied sciences in canton Zurich
• Largest university of applied sciences in Switzerland with more than 10,000
students
• Campuses in Zurich, Winterthur and Wädenswil
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Most famous lecturer:
• 1901: Albert Einstein
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140,000-190,000 Data Scientists Missing
in 2018 in the US Only
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Definition of Data Science
Definition of data science [Wikipedia]:
Incorporates math, statistics, data engineering, pattern recognition and learning,
advanced computing, visualization, uncertainty modeling, data warehousing, and
high performance computing.
Used interchangeably with competitive intelligence or business analytics.
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Google Trends “Data Scientist”
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The Major Waves of the Data Tsunami
Wave 1 - Large-Scale Science:
CERN – High Energy Physics
Astrophysics
Bioinformatics
Wave 2 – Web companies:
Search engines:
Google, Yahoo
eCommerce:
Amazon, eBay
Wave 3 - Social Networks:
Facebook, Twitter, LinkedIn
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Data Science Opportunities
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Datalab = Data Science @ ZHAW
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One of the first Data Science Labs in Europe
Collaboration of computer scientists, statisticians, mathematicians and
physicists for solving Data Science problemens:
• Institut for Applied Information Technology
• www.init.zhaw.ch
• Institut for Data Analysis and Process Design
• www.idp.zhaw.ch
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Our Definition of Data Scientist
T. Stadelmann, K. Stockinger, M. Braschler, M. Cieliebak, G. Baudinot, O. Dürr, A. Ruckstuhl,
Applied Data Science in Europe. In: European Computer Science Summit. ECSS 2013. Amsterdam, The Netherlands: IEEE.
http://pd.zhaw.ch/publikation/upload/204718.pdf
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DAS Data Science with
Precision
Diploma of Advanced Studies – planned start: fall 2014
Content – 3 modules (part time, one afternoon + evening per week):
• CAS Information Engineering:
• Information Retrieval & Text Analysis
• Data Warehousing & Big Data
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CAS Data Analysis:
• Statisticis
• Regression Analysis, Clustering, Classification
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Data Science Applications:
• Machine Learning
• Data Visualization
• Data Protection Laws and Data Security
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Summary
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Data Science is currently one of the hottest fields in computer science
• Data Science workshop in Winterthur, March 2014
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Data Scientists are a very rare but highly demanded “species”
• We are working on a curriculum for educating data scientists
• DAS Data Science planned for fall semester 2014
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Contact:
• Kurt.Stockinger@zhaw.ch
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