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  

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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  

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Learning Python http://docs.python-guide.org/en/latest/intro/learning/

Python Koans (advise to do)

https://bitbucket.org/gregmalcolm/python_koans

Python  Programming  

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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)  

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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)  

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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  

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