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Data for the Rest of Us: How to Make Sense of Data, Take Control, and Thrive in the Age of Intelligence [Pehme köide]

  • Formaat: Paperback / softback, 160 pages, kõrgus x laius x paksus: 198x129x12 mm, kaal: 175 g
  • Ilmumisaeg: 28-Apr-2026
  • Kirjastus: Troubador Publishing
  • ISBN-10: 1806342456
  • ISBN-13: 9781806342457
Teised raamatud teemal:
  • Pehme köide
  • Hind: 17,03 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 20,54 €
  • Säästad 17%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 3-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 160 pages, kõrgus x laius x paksus: 198x129x12 mm, kaal: 175 g
  • Ilmumisaeg: 28-Apr-2026
  • Kirjastus: Troubador Publishing
  • ISBN-10: 1806342456
  • ISBN-13: 9781806342457
Teised raamatud teemal:
You are already a data person. You just havent been called one yet.



In a world run by algorithms, predictive models, and AI agents, Data for the Rest of Us is your essential companion for making sense of it all. You dont need a PhD, a tech background, or a fancy computer. You already interact with data every day you just dont always realize it.



Dennis Irorere, a data system engineer and social leader, guides you through the invisible layer shaping our lives from music recommendations and credit scores to workplace decisions and AI-generated everything. With clarity, warmth, and zero jargon, he shows you how to spot bias, ask better questions, use data ethically, and work with AI as a partnernot a mystery box.



Whether youre a business leader, team builder, professional, student, or simply curious about the modern world, this book will help you reclaim your agency in a data-saturated age.



This isnt about becoming a data scientist. Its about becoming data aware. Thoughtful. Empowered. The rest of us deserve that, too.
Dennis Irorere is a data systems engineer with about a decade of experience designing and building data infrastructure for billion-dollar companies and social impact organizations. His work explores how data shapes identity, trust, places and the decisions embedded in everyday systems. He has led global initiatives that use data for public good and actively contributes to open source projects and community-driven ecosystems focused on data, intelligence and graph technologies.