Statistics is a fundamental and integral part of data science, serving as a powerful toolkit for understanding, analyzing, and interpreting data. It provides the necessary tools to extract meaningful insights from raw data, make informed decisions, and build predictive models. In the realm of data science, statistics plays a crucial role in various stages of the data lifecycle, from data collection and exploration to hypothesis testing and model evaluation.
What you will learn?
Understand what a Normal Distribution is.
Explain the difference between continuous and discrete variables
Understand the Central Limit Theorem
Use the Z-Score and Z-Tables
Understand the difference between a normal distribution and a t-distribution