Introduction to pandas Course (How To)

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

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