# Statistics for Data Science

Statistics is the science that concerned with**developing and studying**methods for collect, organize, analyse and inference of conclusions from

**quantitative data**.

## Types of Statistics

Statistics is divided into two categories:

- Descriptive statistics
- Inferential statistics

**properties of population**and sample data and

**Inferential Statistics**which uses those properties to test hypotheses and draw conclusions.

**Population**is a complete set, this means that the entire group that you want to draw conclusions about, while a

**Sample**is a subset of the entire population. Statistics is a fundamental tool of

**Data Science**because statistics form the basic foundation of all the

**Machine Learning**algorithms. So, it is an important prerequisite for applied Machine Learning, as it helps you to select, evaluate and interpret

**predictive models**.

## Machine Learning

Process of solving a problem in**Machine Learning**with the help of statistics:

- Define the problem
- Identify the required data
- Prepare and pre-process
- Model the data
- Train and test
- Verify and deploy

**Related Topics**