I am a recent graduate of the Galvanize Data Science Immersive Bootcamp. In this Data Science Bootcamp we spent 3 months learning Statistics, Linear Algebra, Calculus, Machine Learning, SQL, and Python Programming. The San Francisco based program I attended was transferred from in-person to remote due to the COVID-19 pandemic. To say this experience was challenging would be an understatement. My official day at the Bootcamp started at 8:30 AM and ended at 8:30 PM Monday through Friday.
StreetLight Data, a big data platform that helps cities unlock mobility insights from location data from smartphone apps, has raised $15 million in a series D round of funding. The raise comes as cities around the world are having to adapt to social distancing measures that require shifts in transportation -- bikes over buses, for example. Founded in 2012, San Francisco-based StreetLight Data works with an aggregator called Cuebiq, which collects anonymized location data from hundreds of apps, including weather and dating apps, installed on millions of smartphones in North America. Cuebiq packages this inside an SDK that can be used by third-party platforms to create new apps and services. StreetLight Data applies its machine learning algorithms to this data to figure out things like how people travel through cities, what transportation they use, and which times and days are busiest.