The Data Science Starter Kit
The Data Science Interview Cheat Sheet: Math & Code Essential Statistics & Python Templates By Tanmoy Chowdhury How to use this guide: Data Science interviews often bounce between heavy statistics and rapid-fire coding. This cheat sheet bridges the gap. Use Part 1 to refresh your statistical definitions before a screening call, and use Part 2 to memorize the code patterns that solve 80% of algorithmic interview questions. Part 1: Statistics for Data Science 1. Core Terminology Population vs. Sample: A population is the entire group you want to draw conclusions about. [cite_start]A sample is the specific group that you will collect data from. Parameter vs. Statistic: A parameter is a numerical value that describes a population (e.g., Population Mean μ). A statistic is a numerical value that describes a sample (e.g., Sample Mean x̄). 2. Hypothesis Testing The Concept: A hypothesis test evaluates two mutually exclusive statements about a popul...