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Data Manipulation with pandas

BeginnerSkill Level
4.8+
4,696 reviews
Updated 02/2025
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
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PythonData Manipulation4 hours15 videos56 Exercises4,850 XP468,499Statement 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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*4.8
from 4,696 reviews
82%
16%
1%
0%
0%
  • Gia Bảo
    about 3 hours

    Great!

  • Dan Paulo
    about 3 hours

    The instruction was easier to understand than I thought

  • Arpit
    about 4 hours

  • Alfredo
    about 10 hours

    Felt very practical and introduced concepts that will actually get used.

  • David
    about 10 hours

  • Sharad
    about 10 hours

    It is powerful to manipulate data for cleaning dataset and use it for accessing valuable insights.

"Great!"

Gia Bảo

"The instruction was easier to understand than I thought"

Dan Paulo

Arpit

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