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Management > STATISTIQUE > STATISTIQUE DESCRIPTIVE
STATISTIQUE DESCRIPTIVESynonyme(s)Analyse en grappe ;Analyse statistique ;Corrélation ;Covariance ;Moyenne ;Observation statistique ;Régression ;Relation statistique Variance |
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Big Data / Viktor MAYER-SCHONBERGER / JOHN MURRAY (2013)
Titre : Big Data : A revolution that will transform how we live, work and think Type de document : Livre Auteurs : Viktor MAYER-SCHONBERGER ; Kenneth Neil CUKIER Editeur : JOHN MURRAY Année de publication : 2013 Importance : 242 p. ISBN/ISSN/EAN : 978-1-84854-792-6 Prix : 13 EUR Langues : Anglais (eng) Mots-clés : Management
ANALYSE DES DONNEES ; SCIENCE DE L'INFORMATION ; FICHIER ; PRISE DE DECISIONIndex. décimale : 212.68 ANALYSE DES DONNEES Résumé : Impact des Big Data sur notre société et notre économie. Modes d'utilisation et maîtrise de ces nouvelles technologies de l'information, aspects humains du traitement de données : prise de décision, mise en place d'algorithmes, protection de la vie privée. Note de contenu : Bibliogr. p. 217-226 Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=111265 Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité J2031 212.68 MAY Livre Library Campus de Rouen Salle de lecture Disponible
Titre : Business statistics for dummies Type de document : e-book Auteurs : Alan Ross ANDERSON, Auteur Année de publication : 2013 Importance : 411 p. (200 crédits) ISBN/ISSN/EAN : 978-1-118-78449-5 Langues : Français (fre) Mots-clés : Management
MATHEMATIQUES FINANCIERES ; STATISTIQUERésumé : Business statistics is a common course for business majors and MBA candidates. It examines common data sets and the proper way to use such information when conducting research and producing informational reports such as profit and loss statements, customer satisfaction surveys, and peer comparisons. Nombre d'accès : 1 En ligne : http://www.vlebooks.com/vleweb/product/openreader?id=Neoma&accId=9169105&isbn=97 [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=505570
Titre : Data Science for Business : What You Need to Know about Data Mining and Data-Analytic Thinking Type de document : e-book Auteurs : Foster PROVOST ; Tom FAWCETT Editeur : O'REILLY MEDIA Année de publication : 2013 Importance : 414 p. ISBN/ISSN/EAN : 978-1-4493-7429-7 Langues : Anglais (eng) Mots-clés : Management
INFORMATIQUE ; BASE DE DONNEES ; ANALYSE DES DONNEES ; STRATEGIERésumé : Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You'll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company's data science projects. You'll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization--and how you can use it for competitive advantage. Treat data as a business asset that requires careful investment if you're to gain real value. Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data. Apply data science principles when interviewing data science job candidates. Nombre d'accès : 1 En ligne : http://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/ne [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=534962 Data science for business / Foster PROVOST / O'REILLY (2013)
Titre : Data science for business : what you need to know about data mining and data-analytic thinking Type de document : Livre Auteurs : Foster PROVOST ; Tom FAWCETT Editeur : O'REILLY Année de publication : 2013 Importance : XXI-386 p. ISBN/ISSN/EAN : 978-1-4493-6132-7 Prix : 48 EUR Langues : Anglais (eng) Mots-clés : Management
ANALYSE DES DONNEES ; BASE DE DONNEES ; INFORMATIQUE ; STRATEGIEIndex. décimale : 212.68 ANALYSE DES DONNEES Résumé : This broad, deep, but not-to-technical quide introduces you to the fundamental principes of data scicence and walks you through the data-analytic thinking necessary for extracting useful knowledge and business value from the data you collect. By learning data science principles, you will understand the many data mining techniques in use today. More impotantly, these principles underpin the processes and strategies necessary to solve business problems through data mining techniques. Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=535178 Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 055645 006.3 PRO Livre Library Campus de Reims Salle de lecture Exclu du prêt J6777 212.68 PRO Livre Library Campus de Rouen Salle de lecture Exclu du prêt
Titre : Data smart : using data science to transform information into insight Type de document : e-book Auteurs : John W FOREMAN,, Auteur Editeur : John Wiley & Sons Année de publication : 2013 Importance : xx, 409 p. Présentation : illustrations (black and white) ISBN/ISSN/EAN : 978-1-118-66148-2 Langues : Anglais (eng) Mots-clés : Management
ANALYSE DES DONNEES ; BANQUE DE DONNEES ; ENVIRONNEMENT SCIENTIFIQUE ; INFORMATIQUEMots-clés candidats : Data mining. Index. décimale : 006.3 Résumé : Data Science gets thrown around in the press like it`s magic. Major retailers are predicting everything from when their customers are pregnant to when they want a new pair of Chuck Taylors. It`s a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. But how does one exactly do data science? Do you have to hire one of these priests of the dark arts, the "data scientist," to extract this gold from your data? Nope. Data science is little more than using straight-forward steps to process raw data into actionable insight. And in Data Smart , author and data scientist John Foreman will show you how that`s done within the familiar environment of a spreadsheet. Why a spreadsheet? It`s comfortable! You get to look at the data every step of the way, building confidence as you learn the tricks of the trade. Plus, spreadsheets are a vendor-neutral place to learn data science without the hype. But don`t let the Excel sheets fool you. This is a book for those serious about learning the analytic techniques, the math and the magic, behind big data. Each chapter will cover a different technique in a spreadsheet so you can follow along: Mathematical optimization, including non-linear programming and genetic algorithms Clustering via k-means, spherical k-means, and graph modularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, and bag-of-words models Forecasting, seasonal adjustments, and prediction intervals through monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through each technique. But never fear, the topics are readily applicable and the author laces humor throughout. You`ll even learn what a dead squirrel has to do with optimization modeling, which you no doubt are dying to know. Note de contenu : Index. Nombre d'accès : 1 En ligne : http://www.vlebooks.com/vleweb/product/openreader?id=Neoma&accId=9169105&isbn=97 [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=159776 Data Smart / John W FOREMAN, / John Wiley & Sons (2013)PermalinkDiscovering statistics using IBM SPSS statistics / Andy FIELD / SAGE PUBLICATIONS LTD (2013)PermalinkEconometric Analysis of Panel Data / Badi H. BALTAGI / John Wiley & Sons (2013)PermalinkEnjeux et usages du Big Data / Christophe BRASSEUR / Paris : HERMÈS SCIENCE PUBLICATIONS-LAVOISIER (2013)PermalinkPermalinkL'Etat de la France 2013-2014 / LA DÉCOUVERTE (2013)PermalinkLes études qualitatives / Georges GUELFAND / Paris : EDITIONS EMS (2013)PermalinkNaked statistics / Charles WHEELAN / W.W. NORTON & COMPANY (2013)PermalinkNo preconceptions / Barney G. GLASER / SOCIOLOGY PRESS (2013)PermalinkPanorama des statistiques de l'OCDE 2013 / ORGANISATION DE COOPERATION ET DE DEVELOPPEMENT ECONOMIQUES / OCDE (2013)PermalinkPoor numbers / Morten JERVEN / CORNELL UNIVERSITY PRESS (2013)PermalinkPermalinkRisk assessment and decision analysis with bayesian networks / Norman FENTON / CRC PRESS (2013)PermalinkLa Statistique sans formule mathématique / Bernard PY / Paris : PEARSON EDUCATION FRANCE (2013)PermalinkStochastic programming / Horand I. GASSMANN / WORLD SCIENTIFIC (2013)PermalinkAnalyse quantitative des données [L'] / Olivier MARTIN / Armand Colin (2012)PermalinkApprendre à chercher / Luc ALBARELLO / Bruxelles : DE BOECK UNIVERSITE (2012)PermalinkBasel III Credit rating systems / Luisa IZZI / New York : PALGRAVE MACMILLAN (2012)PermalinkBasic business statistics / Mark L. BERENSON / PEARSON ED. (2012)PermalinkDiscovering statistics using R / Andy FIELD / SAGE PUBLICATIONS LTD (2012)Permalink
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