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Reshaping Data with pandas

Intermediate
4.0+
26 reviews
Updated 02/2025
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
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PythonData Manipulation4 hours15 videos52 exercises4,450 XP18,674Statement of Accomplishment

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Course Description

Often data is in a human-readable format, but it’s not suitable for data analysis. This is where pandas can help—it’s a powerful tool for reshaping DataFrames into different formats. In this course, you’ll grow your data scientist and analyst skills as you learn how to wrangle string columns and nested data contained in a DataFrame. You’ll work with real-world data, including FIFA player ratings, book reviews, and churn analysis data, as you learn how to reshape a DataFrame from wide to long format, stack and unstack rows and columns, and get descriptive statistics of a multi-index DataFrame.

Prerequisites

Data Manipulation with pandas
1

Introduction to Data Reshaping

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2

Converting Between Wide and Long Format

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3

Stacking and Unstacking DataFrames

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4

Advanced Reshaping

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Reshaping Data with pandas
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*4.0
from 26 reviews
58%
12%
12%
15%
4%
  • Dimitris L.
    about 2 months

    nice course

  • Pascual S.
    5 months

    Excellent experience. I really learnt so much about Reshaping Data with Pandas.

  • Sean C.
    7 months

    I thought it was a very well taught course. Each successive chapter built on the previous chapter pretty well. I was able to solidify my understanding of the basics well at the beginning, and then was still challenged and learned a lot in the later chapters.

  • Noel C.
    7 months

    One of the best courses I have taken at DataCamp. Ten stars **********

  • Laura L.
    over 1 year

    good suggestion to refine background

"nice course"

Dimitris L.

"Excellent experience. I really learnt so much about Reshaping Data with Pandas."

Pascual S.

"I thought it was a very well taught course. Each successive chapter built on the previous chapter pretty well. I was able to solidify my understanding of the basics well at the beginning, and then was still challenged and learned a lot in the later chapters."

Sean C.

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