In which you'll learn how to import data into Python from all types of flat files, a simple and prevalent form of data storage.
In which you'll learn how to import data into Python from a wide array of important file types, from Excel to MATLAB to SAS files, from Stata to HDF5.
In which you'll learn how to extract meaningful data from relational databases, an essential element of any data scientist's toolkit.
In which you'll learn how to get data from the web, whether it be stored in files or in HTML. You'll also learn the basics of scraping and parsing web data.
In which you'll learn how to extract data from APIs: you'll learn the basics of APIs, why they are so important and have a lot of practivce getting data from them with dives into the OMDB, Wikipedia and Twitter APIs.