๐Ÿ“š Exam Study Guides

Statistical & Mathematical Methods for Data Science โ€” visual prep pages

Chapter 1

Introduction to Data Science

Definitions, DIKW & Data Science pyramids, 3 V's, data patterns, storage scenarios, the 95%-accuracy paradox.

 Chapter 2

Data, Big Data & Data Scientists

Big Data definition, data types, OLAP, hype cycle, Target & Obama case files, storage-cost calculations.

 Chapter 3

Statistics: A Gentle Introduction

Scientific method, good vs shady science, NOIR measurement levels, ฮฃ notation, mean & rounding drills.

 Chapter 4

Descriptive Statistics

Mean, median, mode, range, variance & SD, skew explorer, and how-not-to-lie-with-statistics scenarios.