From Data to Decisions: Mastering the Fundamentals of Data Science

di S. Williams (Autore)

NFT Publishing, 2025

This audiobook is narrated by a digital voice. In today’s data-driven world, understanding how to harness the power of information is no longer optional—it’s essential. From Data to Decisions is your comprehensive guide to mastering the fundamentals of data science, offering a clear path from raw numbers to actionable insights that drive innovation and success across industries. Whether you’re exploring machine learning basics , diving into big data analytics , or implementing real-time data analysis , this book equips you with the tools and knowledge needed to thrive in an increasingly complex landscape. This book goes beyond technical expertise, addressing critical challenges like data quality improvement , bias in algorithms , and ethical AI practices . You’ll learn how to apply statistical methods for data , leverage cloud-based data solutions , and use data visualization techniques to tell compelling stories that resonate with stakeholders. With chapters dedicated to healthcare data insights , financial data modeling , and retail analytics , readers will discover practical strategies tailored to their specific fields. But true mastery doesn’t stop at technical skills—it demands ethical responsibility. Dive deep into debates on privacy concerns in data , GDPR compliance , and consumer data protection as you explore frameworks rooted in universal ethics. From algorithm accountability to public trust in data science , this book ensures you approach your work with fairness, inclusivity, and respect for societal values. For organizations looking to embed data-driven decision-making into daily workflows, From Data to Decisions provides actionable steps to overcome resistance to change, resource constraints, and skepticism. Learn how to integrate business intelligence tools , foster data literacy training , and optimize processes through predictive analytics and workflow optimization with data .

• Autore: S. Williams
• Durata in (hh:mm:ss): 02:38:19
• Anno edizione: 2025
• Editore: NFT Publishing
• Lingua: Inglese
• EAN: 9798318386862