Data science and analysis: general

Leverage the power of Talent Intelligence (TI) to make evidence-informed decisions that drive business performance by using data about people, skills, jobs, business functions and geographies.

This book provides a comprehensive yet short description of the basic concepts of Complex Network theory.

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it.

This book surveys the myriad facets of monitoring people in motion, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis.

Experts in data analytics and power engineering present theories addressing the needs of modern power systems.

Former Wall Street Journal technology reporter Yukari Iwatani Kane delves deep inside Apple in the two years since Steve Jobss death, revealing the tensions and challenges CEO Tim Cook and his team face as they try to sustain Jobss vision and keep the company moving forward.

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time.

Value-Driven Data explains how data and business leaders can co-create and deploy data-driven solutions for their organizations.

This new book from bestselling author Jordan Morrow empowers data professionals to work and operate more effectively in an organizational setting, equipping them with key business knowledge and skills.

A reader-friendly introduction to the exciting world of statistics for the analysts, business leaders and policymakers of tomorrow.

Humberto Barreto shows professors how to teach macroeconomic models and incorporate data using Microsoft Excel® with free files and videos.

Despite businesses often being based on creating desirable experiences, products and services for consumers, many fail to consider the end user in their planning and development processes.

The social sciences are becoming datafied.

This is a book about how ecologists can integrate remote sensing and GIS in their daily work.

This accessible new textbook offers a straightforward introduction to doing spatial statistics.

A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics.

Microsoft Excel is a powerful tool that can transform the way you use data.

Polls show that over 50% of us don't believe racism exists.

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Textbook that uses examples and Jupyter notebooks from across the sciences and engineering to teach Python programming.

Freakonomics lived on the New York Times bestseller list for an astonishing two years.

This is a book about the scientific process and how you apply it to data in ecology.

From world-class qualitative experts comes a practical, step-by-step introduction to doing dyadic interviews.

An engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn't involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize.

Data mining has become the fastest growing topic of interest in business programs in the past decade.

Many businesses are based on creating desirable experiences, products and services for users.

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences.

This forward-thinking handbook integrates philosophy of science, study design, and contemporary quantitative methods in clinical psychology.

From measles to COVID, discover how data allied with statistical and probabilistic reasoning are essential to making rational decisions.

This book addresses common questions from HCI researchers when trying to do statistical analysis on their data.

The first edition of Analysis for Longitudinal Data has become a classic.

Data has dramatically changed how our world works.

Praise forEnvisioning the Survey Interview of the Future "e;This book is an excellent introduction to some brave new technologies .

This book mainly focuses on why data analytics fails in business.

A hands-on lab guide in the R programming language that enables students in the life sciences to reason quantitatively about living systems across scalesThis lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems.

Leading technologists, historians, and journalists reveal the stories behind the computer coding that touches all aspects of life-for better or worseFew of us give much thought to computer code or how it comes to be.

Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data.