An Introduction to Data Analysis: Quantitative, Qualitative and Mixed Methods, Paperback/Tiffany Bergin

Descriere YEO:

An Introduction to Data Analysis: - Disponibil la elefant.ro

Pe YEO găsești An Introduction to Data Analysis: de la Sage Publications Ltd, în categoria Foreign Books.

Indiferent de nevoile tale, An Introduction to Data Analysis: Quantitative, Qualitative and Mixed Methods, Paperback/Tiffany Bergin din categoria Foreign Books îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.

Preț: 313.99 Lei

Caracteristicile produsului An Introduction to Data Analysis:

• Brand: Sage Publications Ltd
• Categoria: Foreign Books
• Magazin: elefant.ro
• Ultima actualizare: 12-03-2025 01:40:44

Comandă An Introduction to Data Analysis: Online, Simplu și Rapid

Prin intermediul platformei YEO, poți comanda An Introduction to Data Analysis: de la elefant.ro rapid și în siguranță. Bucură-te de o experiență de cumpărături online optimizată și descoperă cele mai bune oferte actualizate constant.

Descriere magazin:
Description Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.