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Exploratory_Data_Analysis.key		Exploratory_Data_Analysis.key
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Intro-to-Pandas.ipynb		Intro-to-Pandas.ipynb
pandas-exercise.ipynb		pandas-exercise.ipynb
readme.md		readme.md

readme.md

date	duration	maintainer	order	title
w01d01	90	adashofdata	3	Pandas Intro

Sample Lesson Plan

By the end of this lecture, the students should know:

The basic data science workflow and where data cleaning and EDA fit in
- Common data issues and how to resolve them (such as imputing missing data)
- Common EDA techniques and the tools used for EDA (including visualization tools)
How to manipulate data using pandas, including
- Basic pandas data structures such as series and dataframes
- How to read in data using pandas and how to view basic info and descriptive stats about dataframes
- How to select rows and columns in a dataframe using .loc and .iloc
- How to create masks and filter data
- How to deal with NULL values, and the difference between NaN and None values
- How to groupby and sort in pandas