Name: Creating and Verifying Data Sets With Excel (en Inglés)
Price: 215.91 PEN
Availability: InStock
Author: Robert E. Mcgrath
ISBN: 9781483331454

portada Creating and Verifying Data Sets With Excel (en Inglés)

Formato

Libro Físico

Editorial

Sage Pubn

Autor

Robert E. Mcgrath

Idioma

Inglés

N° páginas

184

Encuadernación

Tapa Blanda

ISBN13

9781483331454

N° edición

Creating and Verifying Data Sets With Excel (en Inglés)

Robert E. Mcgrath (Autor) · Sage Pubn · Tapa Blanda

Libro Físico

S/ 215,91

S/ 431,82

Ahorras: S/ 215,91

50% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 08 de Julio y el Lunes 22 de Julio.

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Reseña del libro "Creating and Verifying Data Sets With Excel (en Inglés)"

Accurate data entry and analysis can be deceptively labor-intensive and time-consuming. Creating and Verifying Data Sets with Excel is a focused, easy-to-read guide that gives readers the wherewithal to make use of a remarkable set of data tools tucked within Excel--tools most researchers are entirely unaware of. Robert E. McGrath's book is the first to focus exclusively on Excel as a data entry system. It incorporates a number of learning tools such as screenshots, text boxes that summarize key points, examples from across the social sciences, tips for creating professional-looking tables, and questions at the end of each chapter. Providing practical strategies to improve and ease the processes of data entry, creation and analysis, this step-by-step guide is a brief, but invaluable resource for both students and researchers. "I have been messing around with data for over 40 years, and I still learned useful techniques and tricks from this book. It will be invaluable for everyone doing data analysis, from novices to experts. I highly recommend it." --David L. Streiner, McMaster University "Excel has become a standard tool in the modern workplace. This well-written and accessible book covers foundational Excel data skills that are rarely taught directly in quantitative methods classes, but are essential for anyone who aspires to succeed in a data-driven environment." --Kurt Taylor Gaubatz, Old Dominion University