What I've Learned Today

A practical guide featuring 10 techniques to improve your prompts for Claude, with examples of what to do and what to avoid. Based on Anthropic’s official documentation and the model’s actual processing behavior.

This Introduction to Data Science guide covers the core concepts of the field, including what Data Science is, the differences between data analyst, data scientist, and data engineer roles, the full data science lifecycle, fundamentals of Machine Learning, and a practical application using linear regression in Python. Designed for beginners, it walks through everything from problem definition to building and evaluating predictive models, with a strong focus on real-world applications and hands-on learning.