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Treehouse

Introduction to pandas Course (How To)

via Treehouse

Overview

Pandas provides fast, flexible, and expressive data structures that have been designed to make working with relational or “labeled” data not only easy, but also intuitive. It’s the fundamental high-level building block for doing practical and real-world data analysis in Python.

What you'll learn

  • Create and explore the fundamental data structures of the pandas library
  • Use labels and indices to narrow data
  • Use common DataFrame exploration techniques
  • Recognize the importance of performing vectorized operations in place

Syllabus

Meet pandas

Let's explore the main data structures that pandas introduces.

Chevron 16 steps
  • Welcome

    5:18

  • Meet Series

    1:14

  • instruction

    About This Course

  • instruction

    Creating a Series

  • Review Series Creation

    3 questions

  • instruction

    Accessing a Series

  • Review Series Access

    5 questions

  • Vectorization and Broadcasting Review

    2:00

  • instruction

    Series Vectorization and Broadcasting

  • Review Series Vectorization and Broadcasting

    3 questions

  • Meet DataFrames

    1:33

  • instruction

    Creating a DataFrame

  • Review DataFrame Creation

    3 questions

  • instruction

    Accessing a DataFrame

  • Review DataFrame Access

    3 questions

  • Onwards

    0:31

Exploring pandas

Let's see what we can do with this library!

Chevron 19 steps
  • Importing Data

    1:29

  • instruction

    Exploration Methods

  • Review Exploration Methods

    3 questions

  • instruction

    Selecting Data

  • Review Selecting Data

    2 questions

  • instruction

    Optional Challenge #1 - Top Referrers

  • Manipulation

    0:50

  • instruction

    Manipulation Techniques

  • Review Manipulation Techniques

    4 questions

  • instruction

    Optional Challenge #2 - Update Users

  • Combining DataFrames

    0:55

  • instruction

    Combining DataFrames

  • instruction

    Handling Duplicated and Missing Data

  • Review Merging and Handling Missing Data

    3 questions

  • instruction

    Manipulating Text

  • instruction

    Optional Challenge #3 - Verified Email List

  • instruction

    Grouping

  • Review Text Manipulation and Grouping

    2 questions

  • Until Next Time

    1:15

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