
Free Download AI For Data Analysts. From Beginner To PRO: Master Data Analytics with AI Tools - Practical Course from Basics to Advanced
English | December 20, 2025 | ASIN: B0G9B9HQ5V | 331 pages | Epub | 835.17 KB
Technical Details * Title: AI For Data Analysts. From Beginner To PRO * Length: 190 pages (with tables, exercises, and templates) * Format: .docx * Language: English * Audience Level: Beginner → PRO (Full progression) * Includes: Exercises, source code examples, prompt templates, AI tools directory Inside the book Every chapter follows a clear, progressive structure - starting simple and advancing toward mastery: Concept breakdowns with analogies for beginners. Step-by-step examples and reproducible code. Professional tips and "AI hacks" that save time. Common pitfalls and how to avoid them. Exercises with guided solutions to ensure real understanding. Tables, templates, and visual diagrams for quick reference. The Expert Toolkit section includes: Appendix A: Complete exercise answers and verified code solutions. Appendix B: A directory of 100+ AI tools and platforms categorized by function - from data cleaning to visualization. Appendix C: A powerful Prompt Library for Data Analysts - ready-to-use templates for ChatGPT, Gemini, and Claude. Appendix D: Curated research papers, academic references, and industry resources for continuous professional growth. Who this book is for Aspiring data analysts who want to build modern, AI-enhanced skillsets. Business professionals who analyze reports and dashboards and want to leverage AI to boost productivity. Students or career changers entering the field of analytics or data science. Working analysts who want to automate repetitive work, increase accuracy, and deliver executive-level insights faster. Managers and team leads who wish to integrate AI into analytics operations and upskill their teams. What makes this book superior Unlike traditional analytics textbooks or tool-specific guides, AI for Data Analysts is platform-agnostic, practical, and future-proof . It integrates both public knowledge and insider workflows used by professional data teams . You'll not only learn how to use AI but also when , why , and how much to rely on it - understanding its strengths, limitations, and business impact. It's designed as both a learning journey and a reference manual you'll return to for years: Verified information based on current (2025) tools and frameworks. Continuous emphasis on efficiency, automation, and scalability. Stepwise progression from basic data tasks to enterprise-level automation. Structured learning path: Beginner → Intermediate → Pro → Expert. The outcome After completing the book, you'll be able to: Confidently use AI to accelerate every step of data analysis. Design automated pipelines that collect, clean, and visualize data in minutes. Interpret, forecast, and explain insights with both statistical and AI-backed methods. Build your personal AI analytics toolkit and prompt library . Communicate data-driven decisions that influence strategy and leadership. You won't just analyze data - you'll command it intelligently, ethically, and efficiently.
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