Pandas is a very easy-to-use library for analyzing any data. It is also used to work with large amounts of data, reading data in data frame and data series structures. This is a very useful tool for Data Science. We will learn about many statistical functions: how to search for correlation, mode, median, maximum and minimum values ​​in a dataset. Learn what to do with missing values ​​in a dataset. Learn to work with specific values ​​in the dataset, as well as how to delete them.

In this section, we will introduce the basics of the series and dataframe  data structures. We will also learn the difference between these structures.

Raw data comes in many forms: CSV, JSON, SQL, HTML, and so on. With pandas, we can work with data in a variety of formats. In this chapter, we will take a closer look at the CSV and TXT formats.

In this section, we will learn how to work with raw data, how to remove unwanted data, and how to work with null values in a dataset.

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