Let's talk about numbers!

|**Type of Number**|**Usage**|**Example**|**Numbers Example**|**Syntax in Python**|
|---|---|---|---|---|
|Integer| We use integer numbers more for counting | Calculate distance between two cities | 1, 2, 6, 10, ...|`int`|
|Floating-point| We use floating-point numbers for accurate measurements | Define the temperature today | 30.5, 38.9, 10.0006, 60.0|`float`|

To check the type of a specific number, use the function `type(number)`.

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!

Introduction to Python for Data Analysis

Learn Numbers

Fill in the gaps to make sentences correct, put correct items to the gaps.

Type of Number	Usage	Example	Numbers Example	Syntax in Python
Integer	We use integer numbers more for counting	Calculate distance between two cities	1, 2, 6, 10, ...	`int`
Floating-point	We use floating-point numbers for accurate measurements	Define the temperature today	30.5, 38.9, 10.0006, 60.0	`float`