Python for SAS Users

A SAS-Oriented Introduction to Python

,

Éditeur :

Apress

Paru le : 2019-09-06

Business users familiar with Base SAS programming can now learn Python by example. You will learn via examples that map SAS programming constructs and coding patterns into their Python equivalents. Your primary focus will be on pandas and data management issues related to analysis of data. It is es...
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Éditeur

Collection
n.c

Parution
2019-09-06

Pages
434 pages

EAN papier
9781484250006

Auteur(s) du livre


Randy Betancourt’s professional career has been in and around data analysis. His journey began by managing a technical support group supporting over 2,000 technical research analysts and scientists from the US Environmental Protection Agency at one of the largest mainframe complexes run by the federal government. He moved to Duke University, working for the administration, to analyze staff resource utilization and costs. There, he was introduced to the politics of data access as the medical school had most of the data and computer resources. He spent the majority of his career at SAS Institute Inc. in numerous roles, starting in marketing and later moving into field enablement and product management. He subsequently developed the role for Office of the CTO consultant. Randy traveled the globe meeting with IT and business leaders discussing the impact of data analysis to drive their business. And they also discussed challenges they faced. At the same time, he talked to end users, wanting to hear their perspective. Together, these experiences shaped his understanding of trade-offs that businesses make allocating scarce resources to data collection, analysis, and deployment of models. More recently, he has worked as an independent consultant for firms, including the International Institute of Analytics, Microsoft's SQL Server group, and Accenture's Applied Intelligence platform.Sarah Chen has 12 years of analytics experience in banking and insurance, including personal auto pricing, compliance, surveillance, fraud analytics, sales analytics, credit risk modeling for business, and regulatory stress testing. She is a Fellow of both the Casualty Actuarial Society and the Society of Actuaries (FCAS, FSA), an actuary, data scientist, and innovator. Sarah's career began with five and a half years at Verisk Analytics in the Personal Auto Actuarial division, building predictive models for various ISO products. At Verisk, she learned and honed core skills in data analysis and data management. Her skills and domain expertise were broadened when she moved to KPMG, working with leading insurers, banks, and large online platforms on diverse business and risk management problems. 

Caractéristiques détaillées - droits

EAN PDF
9781484250013
Prix
56,19 €
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
8714 Ko
EAN EPUB
9781484250013
Prix
56,19 €
Nombre pages copiables
4
Nombre pages imprimables
43
Taille du fichier
8223 Ko

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