Data capture and analysis

Modeling and Analysis of Compositional Data presents a practical and comprehensive introduction to the analysis of compositional data along with numerous examples to illustrate both theory and application of each method.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro presents an applied and interactive approach to data mining.

Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools.

Provides an important framework for data analysts in assessing the quality of data and its potential to provide meaningful insights through analysis Analytics and statistical analysis have become pervasive topics, mainly due to the growing availability of data and analytic tools.

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro presents an applied and interactive approach to data mining.

Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today.

Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today.

How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API.

How to effectively use BigQuery, avoid common mistakes, and execute sophisticated queries against large datasets Google BigQuery Analytics is the perfect guide for business and data analysts who want the latest tips on running complex queries and writing code to communicate with the BigQuery API.

Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence!

Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence!

Problem Solving and Data Analysis Using Minitab A clear and easy guide to six Sigma methodology Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving.

Problem Solving and Data Analysis Using Minitab A clear and easy guide to six Sigma methodology Six Sigma statistical methodology using Minitab Problem Solving and Data Analysis using Minitab presents example-based learning to aid readers in understanding how to use MINITAB 16 for statistical analysis and problem solving.

Concise, mathematically clear, and comprehensive treatment of the subject.

A practical guide for multivariate statistical techniques-- nowupdated and revised In recent years, innovations in computer technology and statisticalmethodologies have dramatically altered the landscape ofmultivariate data analysis.

In the big data age, this Element offers many modern methods and opensource code for learning from high dimensional data.

A practical guide to text classification and neural networks in Python for social scientists.

Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.

A technical guide to performing systematic experiments that create more transparency for corporate surveillance and its algorithms.

A practical guide to text analysis with Python: the intuition, the math, the code.

Offers researchers and teachers an introduction to clustering, with R code and real data to facilitate interaction with the concepts.

An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.

An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.

This concise course in data analysis and inference for the mathematically literate builds on survey sampling and designed experiments.

Providing clear, practical explanations of research methods in business studies, this guide is indispensable for students writing reports.

Providing clear, practical explanations of research methods in business studies, this guide is indispensable for students writing reports.

Teaches creative, effective visualization techniques for tables, time series, maps, text, and networks for beginners in R and Python.

This is the first comprehensive overview of the exciting field of the ''science of science''.

Textbook for students and researchers in oceanography and Earth science on theory and practice of time series analysis using MATLAB.

Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.

Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.

Textbook for students and researchers in oceanography and Earth science on theory and practice of time series analysis using MATLAB.

This is the first comprehensive overview of the exciting field of the ''science of science''.

A student''s guide to setting up and conducting environmental research projects, including how to analyze data and write research proposals.

A student''s guide to setting up and conducting environmental research projects, including how to analyze data and write research proposals.

Provides a summary of the key developments of a decade of research into the area of data exchange.

Provides a summary of the key developments of a decade of research into the area of data exchange.

An updated edition on membrane biology, providing new high resolution structures of membrane proteins and insights into how they function.

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

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

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine.

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine.

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP).

Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build using Google Cloud Platform (GCP).

Do your product dashboards look funky?

Do your product dashboards look funky?

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.

In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart.