In this section, we are going to get acquainted with the ``pandas`` library and explore datasets. 

We will  learn the main functions needed to work with the data:
  - Reading files and creating DataFrames
  - Describing data functions
  - Sorting data function
  - `max()`, `min()`, `mean()`, `median()`
  - Grouping function
  - `.pivot_tables()`
  - `.loc()`

And after learning these functions, we will also learn how to visualize analytics things!

In this section, we will work with the **application subscription** data. Please, study the data.

|**Column name**|**Data type**|**About**|
|---|---|---|
|`user_id`| int | User unique number | 
|`plan`| str | The type of the subscription | 
|`price`| int | The cost of the subscription | 
|`trial`| bool | If the plan is trial or not |

This course will teach you the necessary skills to manage simple analytical tasks. You are going to learn Python and its libraries, such as pandas and NumPy. Besides, you will deal with real-life analytical tasks such as calculating vitally important marketing metrics.

Here, we will face challenges related to data types in python. In this section, we will learn the Python syntax necessary for each person who wants to work with this language. After the section, we will undoubtedly be able to cope with simple Python tasks.

This section will teach you simple Python functions. We will be able to work with if/else statements and loops. Such skills are necessary for everyone who wants to start programming and doing fascinating Python tasks.

This section is the most complicated than the previous one, but it is gripping. Here, we will manage the most commonly used pandas function to help we do essential operations with data. Also, we will learn the basics of the NumPy library.

This section allows you to become a real analyst. Let's go!

Column name	Data type	About
`user_id`	int	User unique number
`plan`	str	The type of the subscription
`price`	int	The cost of the subscription
`trial`	bool	If the plan is trial or not

Data Study