Browsing Sociology by Subject "Data analysis"
Now showing items 1-13 of 13
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Advanced quality auditing : an auditor's review of risk management, lean improvement, and data analysis
(American Society for Quality, 2015)Auditors from any industry must "learn the language of upper management" if they truly want to affect positive change throughout their environments. If quality auditors want to remain relevant and keep from becoming ... -
Big Data: Opportunities and challenges.
(Faber & Faber, 2015)This ebook aims to give practical guidance for all those who want to understand big data better and learn how to make the most of it. Topics range from big data analysis, mobile big data and managing unstructured data to ... -
Business Analytics: Data Analysis and Decision Making
(Cengage Learning, 2014)Become a master of data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 5E. This quantitative methods text provides users with the tools to succeed with a teach-by-example ... -
Data Analysis: Statistical and Computational Methods for Scientists and Engineers (4ed.)
(Springer, 2014)The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory ... -
Databases for Small Business: Essentials of Database Management, Data Analysis, and Staff Training for Entrepreneurs and Professionals
(Apress, 2015)This book covers the practical aspects of database design, data cleansing, data analysis, and data protection, among others. The focus is on what you really need to know to create the right database for your small business ... -
Excel 2013 Data Analysis and Business Modeling
(Microsoft, 2014)This edition of the book contains the following changes: An explanation of Excel’s 2013 exciting Flash Fill feature. An explanation of how to delete invisible characters which often mess up calculations. An explanation of ... -
Exploratory Data Analysis in Business and Economics: An Introduction Using SPSS, Stata, and Excel
(Springer International Publishing, 2014)In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools ... -
Introduction to statistics and data analysis
(Cengage Learning, 2012)1. Structure and Process of Supervision. 2. Supervision Models: Psychotherapy-based Non-Psychotherapy-based. 3. Effective Supervision. 4. Supervisor. Gender and Perceived Stereotypes. Theoretical Orientation, Interaction ... -
Introductory Statistics
(Pearson, 2017)Introductory Statistics presents the fundamentals of statistics, featuring data production and data analysis. Data exploration is emphasized as an integral prelude to statistical inference. This edition of Introductory ... -
A Modern Introduction to Probability and Statistics: Understanding Why and How
(Springer, 2005)Probability and Statistics are studied by most science students, usually as a second- or third-year course. Many current texts in the area are just cookbooks and, as a result, students do not know why they perform the ... -
Multilevel Business Processes: Modeling and Data Analysis
(Springer Vieweg, 2015)Christoph G. Schuetz examines the conceptual modeling aspects of multilevel business processes without neglecting the implementation aspects. Furthermore, he investigates the advantages of hetero-homogeneous models for ... -
Scientific Data Analysis
(Oxford University Press, 2015)Reliable data analysis lies at the heart of scientific research, helping you to figure out what your data is really telling you. Yet the analysis of data can be a stumbling block for even the most experienced researcher - ... -
Statistics for Engineers and Scientists
(McGraw-Hill Education, 2014)Statistics for Engineers and Scientists stands out for its crystal clear presentation of applied statistics. The book takes a practical approach to methods of statistical modeling and data analysis that are most often used ...