post

The Next Four Months at Data Wranglers DC

Data Wranglers DC Logo

Following the Black Hat Data Wrangling talk that Travis Hoppe and I did to kick off the 2016 year of Data Wranglers DC, the next four months is going to be awesome. Here's the lineup: [Read more…]

post

Black Hat Data Wrangling

Black Hat Data Wrangler
Simply put, the goal of any good data wrangler is to make data more accessible.

Consider the antithesis, the idea of hiding and obfuscating your data but still publishing it on the web. Let's learn from the our anti-hero, the black hat data wrangler. [Read more…]

post

Data Acquisition and Wrangling with Python Workshop

District Data Labs

Eighty percent or more of the time spent on data science projects is spent acquiring data, cleaning it, and preparing it for analysis. That data can come from a variety of sources, including APIs or individual web pages. However, not all data is created equal. Once we have automated its acquisition, much of it requires lengthy cleaning and formatting before it can be used. In this course you will learn how to obtain, clean, and mashup data in preparation for analysis. [Read more…]