[Live Webinar] Doing Data Science with Missing Data

Register for webinar link here:
https://generalassemb.ly/education/good-fast-cheap-how-to-do-data-science-with-missing-data/online/123130

About This Event
If you’ve never heard of the “good, fast, cheap” dilemma, it goes something like this: You can have something good and fast, but it won’t be cheap. You can have something good and cheap, but it won’t be fast. You can have something fast and cheap, but it won’t be good. In short, you can pick two of the three but you can’t have all three.

If you’ve done a data science problem before, I can all but guarantee that you’ve run into missing data. How do we handle it? Well, we can avoid, ignore, or try to account for missing data. The problem is, none of these strategies are good, fast, and cheap.

We’ll walk through advantages and disadvantages of various approaches and cover practical recommendations for integrating best missing data practices into your workflow!

About the Speaker
https://twitter.com/matthewbrems
https://www.linkedin.com/in/matthewbrems/

Matt currently is a global instructor for GA's Data Science Immersive program across the United States. Matt is a recovering politico, having worked as a data scientist for a political consulting firm through the 2016 election. Prior to his work in politics, he earned his Master's degree in statistics from The Ohio State University and his undergraduate degree at Franklin College in Indiana. Matt is passionate about putting the revolutionary power of machine learning into the hands of as many people as possible. When he's not teaching, he's volunteering with Statistics Without Borders, thinking about how to be a better teacher, falling asleep to Netflix, and/or cuddling with his pug.