Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Teams also have mixed skill sets and tooling is often limited. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, tested work products. This is when you need Guerrilla Analytics.
In this book, you will learn about:
The Guerrilla Analytics Principles: simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting.
Reproducible, traceable analytics: how to design and implement work products that are reproducible, testable and stand up to external scrutiny.
Practice tips and war stories: 90 practice tips and 16 war stories based on real-world project challenges encountered in consulting, pre-sales and research.
Preparing for battle: how to set up your team's analytics environment in terms of tooling, skill sets, workflows and conventions.
Data gymnastics: over a dozen analytics patterns that your team will encounter again and again in projects
Review Quotes
"... a very pleasant read...very useful to practitioners and managers who are newly responsible for data analytics or who have had difficulty in previous projects." --Computing Reviews
Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W) x .58 Inches (D)
Weight: .82 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 276
Genre: Computers + Internet
Sub-Genre: Enterprise Applications
Publisher: Morgan Kaufmann Publishers
Theme: Business Intelligence Tools
Format: Paperback
Author: Enda Ridge
Language: English
Street Date: September 23, 2014
TCIN: 1007425629
UPC: 9780128002186
Item Number (DPCI): 247-36-1992
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 0.58 inches length x 6 inches width x 9 inches height
Estimated ship weight: 0.82 pounds
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Q: How does the book address common project challenges?
submitted by AI Shopping Assistant - 17 hours ago
A: It provides 90 practice tips and 16 real-world war stories to help navigate typical challenges faced in data science projects.
submitted byAI Shopping Assistant - 17 hours ago
Ai generated
Q: What are the main topics covered in the book?
submitted by AI Shopping Assistant - 17 hours ago
A: The book covers principles of data provenance, reproducible analytics, and practical tips based on real-world challenges in data science.
submitted byAI Shopping Assistant - 17 hours ago
Ai generated
Q: What is the overall theme of the book?
submitted by AI Shopping Assistant - 17 hours ago
A: The overall theme revolves around equipping teams with tools and techniques necessary for effective data analytics in dynamic environments.
submitted byAI Shopping Assistant - 17 hours ago
Ai generated
Q: Who is the target audience for this book?
submitted by AI Shopping Assistant - 17 hours ago
A: The target audience includes practitioners and managers responsible for data analytics, particularly those new to the field or facing project difficulties.
submitted byAI Shopping Assistant - 17 hours ago
Ai generated
Q: What makes 'Guerrilla Analytics' different from other data science books?
submitted by AI Shopping Assistant - 17 hours ago
A: Its focus on practical, battle-tested strategies for managing dynamic data projects sets it apart from many theoretical texts.