LEARN DATA ANALYSIS 1

Every single day you are already a data analyst — you just haven't been doing it on purpose, with tools, and at a scale that can change your career. Until now.

Learn Data Analysis 1 is a comprehensive beginner's guide built to keep you actually engaged — packed with funny real-world examples, reference tables, code blocks, and hands-on exercises that build on each other chapter by chapter. No maths degree required. No prior experience needed. Just curiosity and a willingness to open a spreadsheet.

You will learn what data analysis really is and how the world's biggest companies use it daily, how to classify and handle different types of data, how to follow the same 7-step detective framework professional analysts use, how to use Excel and Google Sheets at a level most people never reach, how to clean messy data before it destroys your conclusions, how to calculate and interpret descriptive statistics in plain English, how to turn numbers into charts that people actually understand, how to find patterns and avoid the correlation vs causation trap, and how to write your first SQL queries and Python code in Google Colab with zero installation.

Every chapter closes with a practical exercise. Every concept is grounded in a real-world example — from Netflix recommendations to a $327 million NASA spacecraft destroyed by a data cleaning failure.

32 pages. 11 chapters. 11 practical exercises. One 30-day learning plan. Zero boring stuff.