We recently sat down with Shae Wang, a data scientist at Uber, to discuss what motivated her to pursue data science, why she was intrigued by Uber’s work in the space, and what advice she has for aspiring data scientists. The full video Q&A is below, but here are some of the highlights. How did […]

Data Quotes The amount of data generated in real time is immense. This has created oceans of data from which companies can derive real business value and make better business decisions. The big data market is predicted to grow by 20% this year, and by 2020, every human is expected to generate 1.7 megabytes (of […]

Imagine you’re riding the New York City Subway. You just want to get from one side of the city to the other. But as soon as you enter the station, you’re confronted with a confusing maze of physical barriers. The obstacles mean that you’ll need to ask for help at nearly every turn. Worst of […]

Chatbots are evolving at an accelerated pace, and there’s a pretty good chance that we have all interacted with an artificially intelligent chatbot at least once. In recent years, chatbots have started to play a more prominent role in enterprise operations across industries. Today, chatbots can be integrated into apps, social media platforms, and websites […]

Before we delve into UX design interview questions, let’s take a step back and look at the interview process in general. Job interviews are a bit like first dates: you can prep all you want, but the unexpected may still pop up and throw you for a loop. Perhaps the interviewer hasn’t looked at your […]

The past year has been full of growth for the Springboard team, which has swelled in size as we’ve introduced new career track courses in user experience and machine learning, re-envisioned the UX design skills track, and launched the Data Science Career Track Prep Course—with much more on the way. That’s why we’re so excited to be […]

We recently sat down with Esme Gaisford, a senior quantitative data analyst at Pandora, to discuss her transition into the field, the Springboard connection that helped her land her current job, and the advice she has for aspiring data scientists. The full video Q&A is below, but here are some of the highlights. What was […]

When you decide that you want to learn machine learning (ML), the first challenge is simply figuring out where to start. This form of artificial intelligence (AI) technology is a deep and complex field that continues to develop at a rapid pace. This can make it daunting for those who aspire to study machine learning. […]