Cher(e) Abonné(e),

Le lundi 20 février 2017, nous vous proposons 3 New(s) qui peu(ven)t vous intéresser:

BigDataFr vous souhaite une excellente journée et vous propose aujourd'hui :

 

[Les Formations Références] ENSAI: MSc in Statistics for Smart Data – MSc in English: Become a skilled Data Scientist Ker-Lann Campus – Rennes

Retrouvez l’ENSAE et l'ENSAI au Salon Big Data 2017 les 6 & 7 mars 2017 au Palais des Congrès, Stand 105
Je réserve mon badge gratuit dès maintenant

"Students trained at ENSAI bring an applied vision to data, an expertise that industrial companies crave."
Jean André, Operations Research & Data Science Team Manager – AIR LIQUIDE

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The demand for skills in the field of high-dimensional data processing, is increasing dramatically worldwide, yet serious academic programs for this domain are still quite rare.

ENSAI’s revamped MSc goes beyond Big Data; it has shifted its emphasis to Smart Data, thus meeting the vital challenge of smart sensing and smart processing of the plethora of data available.

 

Strong Points of the program

  • Explores a unique field where Statistics, Applied Mathematics,and Computer Science converge
  • Addresses practical, real-world issues and provides a solid theoretical background
  • Prepares for a career with rapidly-increasing employment worldwide

This Master of Science in Statistics for Smart Data is open to students of all nationalities:

  • All applicants must have a minimum of 4 years of higher education (at least a 4-year Bachelor’s degree or the first year of a Master’s).
  • A strong statistical, mathematical and computer science background is required.
Admissions: Date & Deadline
1st wave: until February 28, 2017 - 2nd wave: from March 1, 2017 to April 23, 2017
More information (Full Program, Application Form)

[BigData - Bpifrance] BigDataFr recommande : Le CDO, acteur clé de la transformation numérique

lundi 20 février 2017

clonage numérique

[...] L’Oréal, Accor, Total ou LVMH… Ces grandes entreprises françaises ont un point commun : celui de s’être dotées d’un CDO au cours des deux dernières années. Derrière cet acronyme se cache un dirigeant d’un nouveau genre, le Chief Digital Officer. [...]

Lire l'analyse
Source : bpifrance.fr

 
  

[BigData - Analyticbridge] BigDataFr recommends: The Ultimate Guide for Choosing Algorithms for Predictive Modeling

lundi 20 février 2017

[...] Basically, predictive analytics is what drives the actions that make the changes which will, in turn, be monitored by the analytical phase. [...]

Read more
By Steve M. Mehler
Source : analyticbridge.com

 
  

[BigData - analyticsvidhya] BigDataFr recommends: Comprehensive & Practical Inferential Statistics Guide for data science

lundi 20 février 2017

[...] Statistics is one of the key fundamental skills required for data science. Any expert in data science would surely recommend learning / upskilling yourself in statistics. However, if you go out and look for resources on statistics, you will see that a lot of them tend to focus on the mathematics. [...]

Read more
By NSS
Source : analyticsvidhya.com

 
  

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