Statistics for Data Science

Statistics for Data Science: A Beginner-Friendly Guide to Concepts, Code & ClarityAuthor: Amrita Panjwani Senior Data Scientist Break into Data Science - with Confidence in Statistics.Struggling with statistics while learning data science or machine learning? You're not alone - and this book is your solution. This is the ideal beginner-friendly guide to statistical thinking, practical concepts, and real-world code, written for professionals, students, and non-technical learners stepping into data-driven careers. What You'll Learn: Foundational topics: distributions, probability, regression, hypothesis testingPractical insights: how real data scientists use stats in business decisionsCode examples in Python that make statistical concepts actionableClarity-first approach: visuals, analogies, and step-by-step breakdowns Why This Book Works: Designed specifically for beginners in data science, AI, or analyticsWritten in plain language by an experienced trainer and practitionerBlends theory, application, and business relevanceHelps you connect the dots - from numbers to decisions Who Should Read This: Aspiring data scientists or analysts from non-technical backgroundsML and AI learners struggling to understand the "stats part"Students preparing for interviews, projects, or courseworkProfessionals who want to upskill for data-informed roles Buy now and take the first step toward data science clarity.

Pages: 252, Paperback, Notion Press