Introduction to pandas Course

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Free Online Course: Introduction to pandas Course provided by Treehouse is a comprehensive online course, which lasts for 3-4 hours worth of material. The course is taught in English and is free of charge.

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