-Summary:
When working with data, one thing is fairly certain: data is rarely in an optimal format. A misplaced space here, or an extra comma there, can mean the difference between two clicks and two hours of work. In this course, we will work with ways to isolate, extract, and transform data from webpages, text files, and published datasets using Python and Pandas. This class will also introduce regular expressions, a language for matching specific parts of text.

-Why take this course?
The tools for handling data are often complicated, and the associated learning curves are very steep. Over these classes, we will cover a range of techniques with industry standard data-processing tools. If you are curious about how to handle tabular data but feel intimidated by the prospect of programming, this class will get you started on the path towards better data management.

-What will participants learn?
Participants in this course will learn basic and intermediate Python programming and scripting as it pertains to importing and exporting data.. We will cover some of the libraries associated with mathematical and statistical analysis, as well as text processing using regular expressions.