Course Content

# Learning Statistics with Python

2. Mean, Median and Mode with Python

4. Covariance vs Correlation

Learning Statistics with Python

## Sample vs Population

In this course, we will work with **Seaborn** visualization and manipulate datasets using **pandas** and **NumPy**. Therefore, to succed in this course, I strongly recommend taking the following courses:

Understanding statistics will expand your horizons and allow you to recognize statistical patterns and work with data. Let's begin with the fundamental definitions: **sample** and **population**.

**Population**

The **population** is a set of identical items in our study of interest.

**Sample**

A **sample** is a subset of the population which is intended to capture the characteristics of the population (however, it might not always accurately reflect characteristics of the population due to its **quality**).

**Sample vs Population: Example**

Population | Sample | |

Example: | All the students in the class | Top 5 students in the class |

Example: | All students graduated from university | 100 random students graduated from university |

Everything was clear?

Course Content

# Learning Statistics with Python

2. Mean, Median and Mode with Python

4. Covariance vs Correlation

Learning Statistics with Python

## Sample vs Population

In this course, we will work with **Seaborn** visualization and manipulate datasets using **pandas** and **NumPy**. Therefore, to succed in this course, I strongly recommend taking the following courses:

Understanding statistics will expand your horizons and allow you to recognize statistical patterns and work with data. Let's begin with the fundamental definitions: **sample** and **population**.

**Population**

The **population** is a set of identical items in our study of interest.

**Sample**

A **sample** is a subset of the population which is intended to capture the characteristics of the population (however, it might not always accurately reflect characteristics of the population due to its **quality**).

**Sample vs Population: Example**

Population | Sample | |

Example: | All the students in the class | Top 5 students in the class |

Example: | All students graduated from university | 100 random students graduated from university |

Everything was clear?