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Analytics Dispatch 3/6/2017

Testing time series

How to change careers and become a data scientist - one quant's experience
One quant shares her story of switching from energy trading to data science: the resources she used, the classes she took, her decision to move to the Bay Area, and her advice for handling tech culture shock.

Airflow and the Future of Data Engineering: A Q&A
“[F]uture startups will be catapulted up the data maturity curve with access to better, cheaper, more accessible analytics software and services.” - Astronomer

Mathematicians becoming data scientists: Should you? How to?
Tips for determining if you'll actually like the work data scientists do and positioning your mathematics background as an asset when you're interviewing. - Quomodocumque

What's Wrong With My Time Series
When you want to test a model's predictive power, cross validation is usually the way to go. However, since data points in a time series are dependent on each other, randomly selecting subsets for training and testing won't do. Check out these other ways to determine error sources in time series. - MultiThreaded

Hiring a data scientist
Hiring for a data analyst is no easy task. Wikimedia shares how they drew on existing resources to synthesize a better approach to interviewing and hiring a new member of their data team. - Wikimedia

New from Mode

4 Handy SQL Tips for Pivot Tables
Best practices for cleaning and structuring data sets to work optimally with Mode pivot tables.

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