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Titre : R for Data Science : Import, Tidy, Transform, Visualize, and Model Data Type de document : e-book Auteurs : Hadley WICKHAM, Auteur ; Mine CENTINKAYA-RUNDEL, Auteur ; Garrett GROLEMUND, Auteur Editeur : O'REILLY MEDIA Année de publication : 2023 Importance : 579 p. ISBN/ISSN/EAN : 978-1-4920-9737-2 Langues : Anglais (eng) Mots-clés : Management
INFORMATION ; PROGRAMMATION INFORMATIQUERésumé : Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. Nombre d'accès : Illimité 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=580548 Designing for Behavior Change : Applying Psychology and Behavioral Economics / Stephen WENDEL, / O'REILLY MEDIA (2020)
Titre : Designing for Behavior Change : Applying Psychology and Behavioral Economics Type de document : e-book Auteurs : Stephen WENDEL,, Auteur Editeur : O'REILLY MEDIA Année de publication : 2020 Importance : 385 p. ISBN/ISSN/EAN : 978-1-4920-5600-3 Langues : Anglais (eng) Mots-clés : Management
COMPORTEMENT DU CONSOMMATEUR ; PSYCHOLOGIE SOCIALE ; SCIENCE DU COMPORTEMENTRésumé : n this updated edition, Stephen Wendel, head of behavioral science at Morningstar, takes you step-by-step through the process of incorporating behavioral science into product design and development. Product managers, UX and interaction designers, and data analysts will learn a simple and effective approach for identifying target users and behaviors, building the product, and gauging its effectiveness. Learn the three main strategies to help people change behavior Identify behaviors your target audience seeks to change--and obstacles that stand in their way Develop effective designs that are enjoyable to use Measure your product's impact and learn ways to improve it Combine behavioral science with data science to pinpoint problems and test potential solutions 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=535157
Titre : Practical Statistics for Data Scientists : 50+ Essential Concepts Using R and Python Type de document : e-book Auteurs : Peter BRUCE ; Andrew BRUCE ; Peter GEDECK Mention d'édition : 2d ed. Editeur : O'REILLY MEDIA Année de publication : 2020 Importance : 363 p. ISBN/ISSN/EAN : 978-1-4920-7291-1 Langues : Anglais (eng) Mots-clés : Management
STATISTIQUERésumé : The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you'll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data Nombre d'accès : 1 En ligne : https://library.ez.neoma-bs.fr/login?url=https://ebookcentral.proquest.com/lib/n [...] Permalink : https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=577696
Titre : Python for finance : mastering data driven finance Type de document : e-book Auteurs : Yves J. HILPISCH, Auteur Mention d'édition : 2è ed. Editeur : O'REILLY MEDIA Année de publication : 2018 Importance : 713 p.(400 crédits) ISBN/ISSN/EAN : 978-1-4920-2431-6 Langues : Anglais (eng) Mots-clés : Management
ANALYSE FINANCIERE ; FINANCE D'ENTREPRISE ; FONDS D'INVESTISSEMENTRésumé : he financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. 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=486308
Titre : Python for Data Analysis Type de document : e-book Auteurs : WES MCKINNEY, Auteur Editeur : O'REILLY MEDIA Année de publication : 2017 Importance : 547 p. (400 crédits) ISBN/ISSN/EAN : 978-1-4919-5763-9 Langues : Anglais (eng) Mots-clés : Management
ANALYSE DES DONNEES ; SOURCE DE L'INFORMATION ; SCIENCE DE L'INFORMATIONRésumé : Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. Youll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. 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=454911 PermalinkPermalinkMicrosoft Excel 2010 / O'REILLY MEDIA (2011)Permalink
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