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Data Analyst For Beginners: Easy Way to Learn Sql, Excel, Power Bi, Python, AI & Github - Even If You Failed Math Class and Hate Coding
Paperback
Series: Claude AI Beginnings, Book 1
Publisher: Independently Published
Published: Jul 9 2026
Pages: 176
Weight: 0.54
Height: 0.38 Width: 6.00 Depth: 9.00
Language: English
Written by John Cutts-a data analyst, educator, and recovering spreadsheet skeptic who failed Algebra II twice-Data Analyst for Beginners AI is the ultimate zero-to-hero roadmap designed specifically for career changers, recent graduates, and everyday Excel users. If you currently work in retail, teaching, nursing, or hospitality and want a slice of a job market boasting a $100,000 USD median salary, this book skips the academic fluff and teaches you exactly what hiring managers actually look for.
Most tech books are written by computer science majors who never struggled with the basics. This book is built by someone who broke things, Googled the errors, and built a practical, high-leverage toolkit that helps total beginners land job offers in three to six months. You don't need a computer science degree or advanced calculus-just logic, pattern recognition, and a laptop.
The Step-by-Step Learning PathThis guide deliberately stacks your skills so each chapter makes the next one significantly easier to grasp:
SQL First: Master the fundamental grammar of data-filtering, sorting, grouping, and multi-table JOINs using SQLite and PostgreSQL.
Excel Level-Up: Move past basic spreadsheets into Power Query automation, Power Pivot relational databases, and advanced optimization tools like Solver and the Analysis ToolPak.
Power BI Dashboards: Build stunning, interactive visuals and dynamic DAX measures that turn unread numbers into executive-level decisions.
Python & AI Amplifiers: Automate your workflow with pandas dataframes, use ChatGPT and Claude as your analytics co-pilots, and manage your code via Git and GitHub.
Portfolio Capstone: Build a real-world Job Market Analysis project from scratch to grab the attention of tech recruiters.
What You Don't Need: A math degree, prior coding experience, or expensive software. Every tool used in this book is 100% free.
Stop watching endless disjointed tutorials. Grab your copy of Data Analyst for Beginners AI today, type out the code, build your portfolio, and confidently ace your first technical interview!
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