In this section, we are going to practice using knowledge from previous sections.

We will find some essential product metrics that are used in Data Analysis:
  - CAC
  - The percentage of customers whose acquisition is more expensive than the money spent
  - The percentage of the organic traffic
  - How much money do we earn daily
  - ROI

Before starting this section, study the data we will work with.

|**Column name**|**Data type**|**Description**|
|---|---|---|
|`customer_id`| int | User unique number | 
|`cost`| float | How much money do we spend for the user | 
|`money_spent`| float | How much money does the user spend | 
|`day`| str | The weekday the payment was made | 
|`holiday`| bool | If the day of the payment was the holiday 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	Description
`customer_id`	int	User unique number
`cost`	float	How much money do we spend for the user
`money_spent`	float	How much money does the user spend
`day`	str	The weekday the payment was made
`holiday`	bool	If the day of the payment was the holiday or not

Data Study