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Data Manipulation with pandas

Beginner
4.8+
2,276 reviews
Updated 03/2025
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
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PythonData Manipulation4 hours15 videos56 Exercises4,850 XP448,416Statement of Accomplishment

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Course Description

Discover Data Manipulation with pandas

With this course, you’ll learn why pandas is the world's most popular Python library, used for everything from data manipulation to data analysis. You’ll explore how to manipulate DataFrames, as you extract, filter, and transform real-world datasets for analysis.

With pandas, you’ll explore all the core data science concepts. Using real-world data, including Walmart sales figures and global temperature time series, you’ll learn how to import, clean, calculate statistics, and create visualizations—using pandas to add to the power of Python.

Work with pandas Data to Explore Core Data Science Concepts

You’ll start by mastering the pandas basics, including how to inspect DataFrames and perform some fundamental manipulations. You’ll also learn about aggregating DataFrames, before moving on to slicing and indexing.

You’ll wrap up the course by learning how to visualize the contents of your DataFrames, working with a dataset that contains weekly US avocado sales.

Learn to Manipulate DataFrames

By completing this pandas course, you’ll understand how to use this Python library for data manipulation. You’ll have an understanding of DataFrames and how to use them, as well as be able to visualize your data in Python.

Prerequisites

Intermediate Python
1

Transforming DataFrames

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2

Aggregating DataFrames

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3

Slicing and Indexing DataFrames

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4

Creating and Visualizing DataFrames

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Data Manipulation with pandas
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    about 6 hours

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