# 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

Descriptive statistics describes the **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