Introduction to pandas for Data Analysis

Building a foundation in Python using pandas dataframes for analysis.

Getting started with Anaconda Notebooks

Creating and filtering series

Exercise 1: pandas series

Getting the data you need out of a series

Exercise 2: pandas series

Strings

Exercise 3: Strings

Making DataFrames from Python collections and describing your DataFrame

Renaming columns + exercise 1: DataFrames

Creating a DataFrame, counting true values in a Boolean series, and using AND and OR operators

Exercise 2: DataFrames

Identifying missing values

Exercise 1: Identifying missing values

Filling missing values

Exercise 2: Filling missing values

Using .crosstab and .pivot_table

Exercise 1: Aggregating

Using .groupby and aggregate methods

Exercise 2: Aggregating

Using .concat to combine DataFrames horizontally or vertically

Using .merge to join DataFrames

Exercise 1: Combining DataFrames

DataFrames: Working with files

DataFrames: Separator characters (Delimiters)

Exercise 2: Working with files

Conclusion

Introduction to pandas for Data Analysis: Practice Quiz

End of course survey