What data analysis is
The Python skills that you need for data analysis
How to use Jupyter Lab as your IDE
How to split the screen between two Notebooks
How to use Magic Commands
Introduction to the Pandas Data Frame
How to examine the data
How to access the columns and rows
How to work with the data
How to shape the data
How to analyze the data
Introduction to data visualization
How to create 8 types of plots
How to enhance a plot
Introduction to Seaborn
How to enhance and save plots
How to create relational plots
How to create categorical plots
How to create distribution plots
Other techniques for enhancing a plot
How to find the data that you want to analyze
How to import data into a Data Frame
How to get database data into a Data Frame
How to work with a Stata file
How to work with a JSON file
Introduction to data cleaning
How to simplify the data
How to find and fix missing values
How to fix data type problems
How to find and to fix outliers
How to add and modify columns
How to apply functions and lambda expressions
How to work with indexes
How to combine Data Frames
How to handle the Setting With Copy Warning
How to create and plot long data
How to group and aggregate the data
How to create and use pivot tables
How to work with bins
More skills for data analysis
How to reindex time-series data
How to resample time-series data
How to work with rolling windows
How to work with running totals
Introduction to predictive analysis
How to find correlations between variables
How to use Scikit-learn to work with a linear regression
How to plot regression models with Seaborn
A simple regression model for a Cars dataset
How to work with a multiple regression model
How to work with categorical variables
How to improve a multiple regression model
