Test-Driven Data Analysis (Chapman & Hall/CRC Data Science Series) - Image 1

£59.99

Chapman and Hall/CRC Test-Driven Data Analysis (Chapman & Hall/CRC Data Science Series)

Name: Test-Driven Data Analysis (Chapman & Hall/CRC Data Science Series)
Brand: Chapman and Hall/CRC
Price: 59.99 GBP
Availability: InStock

Data Mining

Price History & Forecast

Last 90 days • 90 data points

Historical

Generating forecast...

Price Distribution

Price distribution over 90 days • 1 price levels

Days at Price

Price Analysis

Most common price: £60 (90 days, 100.0%)

Price range: £60 - £60

Price levels: 1 different prices over 90 days

Description

Test-driven data analysis is the synthesis of ideas from test-driven development of software to data-intensive work including data science, data analysis, and data engineering. It is a methodology for improving the quality of data and of analytical pipelines and processes. It can be thought of as data analysis as if the answers actually matter. Test-driven data analysis can be thought of as a sibling to reproducible research, with similar concerns, but greater emphasis on automated testing, and less requirement for a human to reproduce results. Extensive checklists are provided that can be used to improve quality before,during, and after analysis. Key Features: Prevents costly errors in analytical processes before they reach production through automated data validation and reference testing of data pipelines. • Provides actionable checklists for issues beyond the reach of automated testing. • Equips readers with open-source Python tools and language-agnostic command-line interfaces. • Addresses testing challenges for modern LLM-based systems including chat-bots and coding assistants. • Instills in analysts an inner voice that is always asking: “How is this misleading data misleading me?”

Product Specifications

Brand: Chapman and Hall/CRC
Format: hardcover
ASIN: 1032897155
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 19 May 2026
Listed Since: 27 September 2025

Barcode

No barcode data available

Chapman and Hall/CRC Test-Driven Data Analysis (Chapman & Hall/CRC Data Science Series)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

What's the Question?: Deciding What You Really Want to Know (Chapman & Hall/CRC Data Science Series)

A Python Data Analyst’s Toolkit: Learn Python and Python-based Libraries with Applications in Data Analysis and Statistics

Python for Mathematics (Chapman & Hall/CRC The Python Series)

Translational Application of Artificial Intelligence in Healthcare: - A Textbook (Analytics and AI for Healthcare)

Mathematical Analysis with Topological Examples: A Narrative Approach for Undergraduates

Analytic Methods in Systems and Software Testing

Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs

Modelling with Ordinary Differential Equations: A Comprehensive Approach

Python for Data Engineering Build Scalable Data Pipelines, Analytics, and Automation (Data Engineering Domain For professional)

Data Mesh Design: A Practical Pipeline Design Guide for Analytics, Data Science and Machine Learning

Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach

Business Analytics: Data Science for Business Problems

Probability, Random Variables, and Data Analytics with Engineering Applications

Big Data and Visual Analytics

Data Analysis for the Social Sciences: Integrating Theory and Practice

The AI-Driven Data Team: Improve Your Analytics with AI

Spatiotemporal Data Analytics and Modeling: Techniques and Applications (Big Data Management)

Python for Data Science

Data-driven Analytics for Sustainable Buildings and Cities: From Theory to Application (Sustainable Development Goals Series)

Big Data Analytics: Theory, Techniques, Platforms, and Applications (Springerbriefs in Applied Sciences and Technology)

The Games that Computers (and Humans) Play: A Non-Technical Introduction to Artificial Intelligence (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)

The Pandas Workshop: A comprehensive guide to using Python for data analysis with real-world case studies

Statistical Analysis and Data Display: An Intermediate Course with Examples in R (Springer Texts in Statistics)

Predictive Analytics in System Reliability (Springer Series in Reliability Engineering)