Ratings & reviews

4.7333 ratings

charles k.

7 days ago

i love pandas

M P.

8 days ago

good class

John O.

9 days ago

Very useful course, with extensive examples and suitable questions to test your comprehension

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info

Complete all chapters to get certificate

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The Very First Steps

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In this section, we'll explore the fundamentals of Series and DataFrame structures. You'll also learn about the distinctions between these two types of structures.

What Is pandas?

Series

Challenge

DataFrame

Challenge 1

Challenge 2

Add a New Column 1/2

Add a New Column 2/2

Delete a Row/Column

Challenge

Work with Columns

Challenge

Function iloc() 1/2

Function iloc() 2/2

Reading Files in Pandas

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Data can be sourced in various formats, such as CSV, JSON, SQL, HTML, and more. With Pandas, you're not limited to a single format — you can work with data across a multitude of file types. In this chapter, we'll specifically focus on the CSV and TXT formats.

CSV Files

TXT Files

Challenge 1

Challenge 2

Analyzing the Data

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Here, you'll learn how to process raw data by removing extraneous information and managing null values in a dataset.

Viewing the Data

Challenge 1

Challenge 2

Information on the Data 1/2

Information on the Data 2/2

Finding Null Values

Challenge

Dropping Null Values

Filling Null Values

Challenge

Describing the Data

Challenge

max() and min()

Challenge

sum() and count()

Unique Values