data science lecture: information collateral
Post on 08-Aug-2015
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Introduc)on to data science
Lecturer: Frank Kienle
Information Collateral Lecture 2015, Technical University of Kaiserslautern
Building data science teams Data science teams need people with the skills and curiosity to ask the
big questions. @http://radar.oreilly.com/2011/09/building-data-science-teams.html
The field guide to data science (advise to read)
@http://www.boozallen.com/insights/2013/11/data-science-field-guide
Data Science Work/Overview
23.04.15 Frank Kienle, Blue Yonder p. 2
Why Software Is Eating The World Marc Andreesen, August 20, 2011
@http://www.wsj.com/articles/… (advise to read)
Three keys to building a data-driven strategy (advise to read)
@http://www.mckinsey.com/insights/business_technology/…
Big data: The next frontier for innovation, competition, and productivity McKinsey 2011, full report
@http://www.mckinsey.com/insights/business_technology/…
Data Driven Business
23.04.15 Frank Kienle, Blue Yonder p. 3
Learning Python http://docs.python-guide.org/en/latest/intro/learning/
Python Koans (advise to do)
https://bitbucket.org/gregmalcolm/python_koans
Python Programming
23.04.15 Frank Kienle, Blue Yonder p. 4
Introduction to Data Science
@https://www.coursera.org/course/datasci (advise to look at) Full Topic: Relational Databases, Relational Algebra, Full Topic: MapReduce, NoSQL Introduction and Eventual Consistency
Machine Learning(Stanford) @https://www.coursera.org/course/ml
(advise to look at) Topic I – IV, VII, X
Data Science/Machine Learning (online courses)
23.04.15 Frank Kienle, Blue Yonder p. 5
Statistical Analysis & Data Mining Mistakes, R. Nisbet, J. Elder, G. Miner, ISBN: 978-0-123747655
advise to read (Chapter 20 - Top 10 Data Mining Mistakes)
Data Analy)cs/ Data Science Books (high level books, easy reading)
23.04.15 Frank Kienle, Blue Yonder p. 6
Data Science for Business: What you need to know about data mining and data-analytic thinking
Foster Provost, Tom Fawcett, ISBN: 978-1449361327
Using Vagrant and Ansible (advise to try)
http://docs.ansible.com/guide_vagrant.html
Amazon Web Service (AWS) Tutorials http://docs.aws.amazon.com/gettingstarted/latest/awsgsg-intro/gsg-aws-
tutorials.html
Deployment
23.04.15 Frank Kienle, Blue Yonder p. 7
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