What You Need to Know about Data Mining and DataAnalytic Thinking
by Foster Provost
Recommended by Kirk Borne
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Data Science for Business reads like a careful, concept-first introduction to using data in managerial decisions. It lays out the probabilistic thinking behind common algorithms and ties analytic choices to business questions, with worked examples and case fragments. The most useful part is the emphasis on when an analytic approach produces business value versus when it only moves metrics. Limitation: it rarely serves as a code-first how-to, and some chapters linger on formal descriptions that slow the pace.
This summary and audience guidance are AI-generated from the book's description and its recommendation history, last updated May 2026. Recommendations, quotes and sources elsewhere on this page come from published material and are not generated.
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "dataanalytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many datamining...
Difficulty:hard
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Recommended by 1 source and appears in Technology, Business, and Science.
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Kirk Borne
“Great book for Business Analytics and for building #AnalyticThinking >> “#DataScience for Business — What You Need to Know about #DataMining and DataAnalytic Thinking”: #BigData #MachineLearning #DataStrategy #AnalyticsStrategy #Algorithms”
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Consider Accidental Presidents by Jared Cohen. Recommended by 10 sources.
“Accidental Presidents offers eight narrative portraits of men who succeeded to the U.S. presidency without election, using anecdote-rich scenes and readable context to show how personality and circumstance interact with office power. It’s strongest as a set of self-contained stories that make succession stakes concrete for non-specialist readers; it does not prioritize dense archival argument or exhaustive methodology, so expect some interpretive generalizations and repeated themes across cases. Use it for fast historical orientation rather than scholarly deep-dives.”
Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.
