Breaking data viz rules
Behind the “Heat Index”
Measuring the impact of data education
The case against SQL formatting
What the heck is a data mesh?
Explore by Category
Analytics Dispatch 3/6/2017
Testing time series
MAKING THE LEAP
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
HERE'S THE PROOF
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