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Big Data, Cloud and Social everything
Big because of the volume, velocity and variety of the data that are processed in the cloud. Economic, social and cultural effects.
Curated by Pierre Levy
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KPMG and Rackspace open Science to Data Science school to fill data scientist black hole

KPMG and Rackspace open Science to Data Science school to fill data scientist black hole | Big Data, Cloud and Social everything | Scoop.it
The first intake of 85 students have arrived at the school and all of them come from a range of PhD subject backgrounds that are able to be shaped...
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Graduate Programs in #BigData Analytics and Data Science

Graduate Programs in #BigData Analytics and Data Science | Big Data, Cloud and Social everything | Scoop.it
Graduate Programs  in Big Data Analytics and Data Science Last updated: December 16, 2013 See below for online programs and online courses American Sentinel University Master of Health Care Informa...
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White House To Universities: We Need More Data Scientists

White House To Universities: We Need More Data Scientists | Big Data, Cloud and Social everything | Scoop.it
New York University University of California-Berkeley and the University of Washington are launching a $37.8 million project to boost the numbers of...
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University of Rochester lauches an Institute for Data Science

University of Rochester lauches an Institute for Data Science | Big Data, Cloud and Social everything | Scoop.it
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Maybe It IS Rocket Science: Hiring a Data Scientist of the box!

Maybe It IS Rocket Science: Hiring a Data Scientist of the box! | Big Data, Cloud and Social everything | Scoop.it
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The big data employment boom - Fortune Tech

The big data employment boom - Fortune Tech | Big Data, Cloud and Social everything | Scoop.it
Big data jobs aren't just for engineers and IT departments -- analysts could come from just about anywhere.
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Five Roles You Need on Your Big Data Team

Quant skills are necessary but not sufficient.

Via Ed Stenson
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What Kind Of Data Scientist Are You?

What Kind Of Data Scientist Are You? | Big Data, Cloud and Social everything | Scoop.it
OReilly just surveyed 250 data scientists about their skills and came up with the four types of data scientistand one shocking outside finding.

Via Mlik Sahib
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Arizona State Joins The Rolls Of Data Science Grad Programs - Forbes

Arizona State Joins The Rolls Of Data Science Grad Programs - Forbes | Big Data, Cloud and Social everything | Scoop.it
The demand for data scientists and sophisticated data analysts is driving more universities to create specialized programs. Arizona State has already see a lot of interest from local companies and from students.
Pierre Levy's insight:

“All 38 graduates of NCSU’s 2012 class had job offers before completing the program; more than half received at least three, said Oglesby. “Ninety-two percent had positions upon graduation.”

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Big Data in Human Resources: Talent Analytics Comes of Age - Forbes

Big Data in Human Resources: Talent Analytics Comes of Age - Forbes | Big Data, Cloud and Social everything | Scoop.it
Gartner expects the market for BigData and analytics to generate $3.7 Trillion in products and services and generate 4.4 million new jobs by 2015.
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Diego Gerardo Yáñez Segura's curator insight, April 16, 2013 1:03 PM

Hoy en día la mayoría el monto promedio que gasta una empresa en la nómina es alrededor del 40% de los ingresos, y las empresas centran la selección del mejor empleado para un puesto a través de corazonadas y en base a la experiencia.

 

Este artículo me pareció de gran interés, debido a que nos habla del lanzamiento futuro de un software que le ayudará a las empresas a tomar una mejor decisión en el proceso de contratación. Dicho software se espera que evalué una serie de características de los candidatos para medir el porcentaje de éxito posible que tendrá cada uno y así poder elegir al mejor calificado según el programa.

 

Algunos de los datos que se podrá tomar en cuenta son: aspectos demográficos, información de desempeño, historia de la educación, lugar de trabajo, y muchos otros factores sobre nuestros empleados.

 

Si esto llegará a ser posible, las empresas podrían aplicar la ciencia a la mejora de la selección, gestión y alineación del personal, con lo que pudieran generar ganancias inimaginables, debido a la productividad del empleado seleccionado y al eliminar gastos recurrentes destinados al proceso de contratación.

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Newly minted data analysts in high demand - FCW

Newly minted data analysts in high demand - FCW | Big Data, Cloud and Social everything | Scoop.it
N.C. State's Institute for Advanced Analytics said 55 employers offered more than $22 million in salaries and signing bonuses to 75 job seekers from the class of 2014.
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UK graduates lack skills for big data

UK graduates lack skills for big data | Big Data, Cloud and Social everything | Scoop.it
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How Many Data Scientists Does the World Really Need?

How Many Data Scientists Does the World Really Need? | Big Data, Cloud and Social everything | Scoop.it
The buzz is all about 'Big Data' and how best to use it to generate actionable intelligence. To do this, companies will need to hire loads of highly trained, highly paid data scientists -- or will they?
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Becoming a Data Scientist - Curriculum via Metromap - Pragmatic Perspectives

Becoming a Data Scientist - Curriculum via Metromap - Pragmatic Perspectives | Big Data, Cloud and Social everything | Scoop.it
Becoming a data scientist a journey; for sure a challenging one. But how do you go about becoming one? Where to start? When do you start seeing light at the end of the tunnel? What is the learning roadmap?
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Big Data 101: How Higher Ed Is Teaching Data Science

Big Data 101: How Higher Ed Is Teaching Data Science | Big Data, Cloud and Social everything | Scoop.it
Universities are developing analytics curricula to educate future data professionals, with help from IBM and other partners.
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What exactly do data scientists do? - Lifestyle - dna

What exactly do data scientists do? - Lifestyle -  dna | Big Data, Cloud and Social everything | Scoop.it
They find truth, intrigue and drama in what is dry-as-dust information to us, says Shraddha Uchil, who met a few of these cyberspace alchemists. - Lifestyle dna
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luiy's curator insight, August 30, 2013 12:33 PM

So what skills would a person need to become a good data scientist?

 

Academically, a basic foundation in computer science, mathematics and statistics is sufficient, says Bhattacharji. However, the  alchemy of these skills is what differentiates the boys from the men.

 

Agreeing with him, Harsh Singhal, a data scientist at LinkedIn, says, “Data scientists come from multi-disciplinary backgrounds. They can code, create visuals, convert data into products and they can tell stories.” In other words, a data scientist has to be a storyteller. Data science is all about being curious and spotting trends by looking beyond the obvious.

 

Say, for instance, Flipkart, arguably India's most popular e-commerce portal, wants to know which of its customers are most likely to commit credit card frauds. How do they go about it? “If you look at a customer's files, all the raw data is available,” says Regunath B, the principal architect at Flipkart. But what’s just raw data to the unskilled is a juicy bag of information to a data scientist. And here’s where he works his magic.

 

“A data scientist uses algorithms to predict possible fraud, and keeps the company updated,” he adds. Thus, a data scientist must be able to understand problems from the business' perspective.

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Analyzing the Analyzers - "The variety of data scientist". O'Reilly Media | #datascience #dataviz

Analyzing the Analyzers - "The variety of data scientist". O'Reilly Media | #datascience #dataviz | Big Data, Cloud and Social everything | Scoop.it

There has been intense excitement in recent years around activities labeled data science, big data, and analytics....


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luiy's curator insight, July 9, 2013 8:55 AM

However, the lack of clarity around these terms and, particularly, around the skill sets and capabilities of their practitioners has led to inefficient communication between "data scientists" and the organizations requiring their services. This lack of clarity has frequently led to missed opportunities. To address this issue, we surveyed several hundred practitioners via the Web to explore the varieties of skills, experiences, and viewpoints in the emerging data science community.

 

We used dimensionality reduction techniques to divide potential data scientists into five categories based on their self-ranked skill sets (Statistics, Math/Operations Research, Business, Programming, and Machine Learning/Big Data), and four categories based on their self-identification (Data Researchers, Data Businesspeople, Data Engineers, and Data Creatives). Further examining the respondents based on their division into these categories provided additional insights into the types of professional activities, educational background, and even scale of data used by different types of Data Scientists.

 

In this report, we combine our results with insights and data from others to provide a better understanding of the diversity of practitioners, and to argue for the value of clearer communication around roles, teams, and careers.

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Training a Whole Generation of Data Scientists (with images, tweets)

Data Science is the hot topic right now in the data world.
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Business school to add 'big data' degree - The GW Hatchet

Business school to add 'big data' degree - The GW Hatchet | Big Data, Cloud and Social everything | Scoop.it
Pierre Levy's insight:

"The consulting firm McKinsey & Company projects 1.5 million openings for business managers with background in big data by 2018"

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Key Skills in the Big Data Equation: The Data Scientist and Data Explorer | Innovation Insights | Wired.com

Key Skills in the Big Data Equation: The Data Scientist and Data Explorer | Innovation Insights | Wired.com | Big Data, Cloud and Social everything | Scoop.it
Building and breeding more Data Scientists and Data Explorers is now required to allow the continued growth and success of this new Big Data era, writes Brian Gentile.
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