What is data science

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L’analyse des grandes quantités de données – le Big Data – est appelée à révolutionner bien des domaines. L’emploi et les ressources humaines pourraient même devenir l’un de ses premiers terrains d’application.

L’emploi à l’épreuve des algorithmes

http://www.internetactu.net/2013/05/03/lemploi-a-lepreuve-des-algorithmes/
http://www.internetactu.net/2013/05/14/big-data-nouvelle-etape/

Big Data : nouvelle étape de l’informatisation du monde

Viktor Mayer-Schönberger , professeur à l’ Oxford internet Institute , et Kenneth Cukier , responsable des données pour The Economist ont récemment publié Big Data : une révolution qui va transformer notre façon de vivre, de travailler et penser ( le site dédié ).

To Hypothesize or Not to Hypothesize

http://www.datasciencecentral.com/profiles/blogs/to-hypothesize-or-not-to-hypothesize "Not everything that counts can be counted, and not everything that can be counted counts." - Albert Einstein . Data Science is in the early stage of development and needs to develop canons to guide us.
http://www.guardian.co.uk/news/datablog/2013/apr/25/forget-big-data-small-data-revolution Rufus Pollock, of the Open Knowledge Foundation, says the hype around big data is misplaced - small, linked data is where the real value lies.

Forget big data, small data is the real revolution | News

http://www.nytimes.com/2013/04/14/education/edlife/universities-offer-courses-in-a-hot-new-field-data-science.html?pagewanted=all&_r=1& The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions.

Universities Offer Courses in a Hot New Field - Data Science

Pour le Data Science Institute, ces nouveaux métiers que nous regroupons sous le terme de Science des Données, combinent justement trois composantes : la statistique, l'informatique et la communication. http://www.datascienceinstitute.org/L-Institut-pour-la-Science-des-Donnees-participe-a-l-annee-internationale-de-la-statistique_a43.html

L'Institut pour la Science des Données participe à l'année internationale de la statistique

http://blogs.hbr.org/cs/2013/03/a_data_scientists_real_job_sto.html by Jeff Bladt and Bob Filbin | 2:00 PM March 27, 2013 Every morning at DoSomething.org, our computers greet us with a report containing over 350 million data points tracking our organization's performance.

A Data Scientist's Real Job: Storytelling - Jeff Bladt and Bob Filbin

Is Big Data Dying?

Has big data been the victim of too much hype? Has it failed to live up to its promise? Or have businesses asked too much of big data and not given enough? http://spotfire.tibco.com/blog/?p=17305
What will news companies look like in 2018? How will they operate differently? That future is coming into focus.

The newsonomics of a news company of the future

http://www.niemanlab.org/2013/03/the-newsonomics-of-a-news-company-of-the-future/

Non, les données ne sont pas du pétrole...

Il ne se passe plus une semaine sans un dossier spécial titrant sur " les data, pétrole du XXIe Siècle ", " data is the new oi l ", " les données, le nouvel or noir ", " vos données personnelles valent 315 milliards d'euros ", " profitez des opportunités des big data ", voire même un " trésor caché " et j'en passe.
I was just doing some late night reading and came across this article:

Why becoming a data scientist is NOT actually easier than you think - josephmisiti's posterous

Software engineer’s guide to getting started with data science

Many of my software engineer friends ask me about learning data science. There are many articles on this subject from renowned data scientists ( Dataspora , Gigaom , Quora , Hilary Mason ).
About the Course Commerce and research is being transformed by data-driven discovery and prediction. Skills required for data analytics at massive levels – scalable data management on and off the cloud, parallel algorithms, statistical modeling, and proficiency with a complex ecosystem of tools and platforms – span a variety of disciplines and are not easy to obtain through conventional curricula.

Introduction to Data Science

I get quite a few e-mail messages from very smart people who are looking to get started in data science.

» Getting Started with Data Science hilarymason

Big Data

Big Data