Completing your first data science project is a major milestone on the road to becoming a data scientist and helps to both reinforce your skills and provide something you can discuss during the interview process. It’s also an intimidating process. The first step is to find an appropriate, interesting data science dataset. You should decide […]

Preparing for an interview is not easy–there is significant uncertainty regarding the data science interview questions you will be asked. No matter how much work experience or what data science certificate you have, an interviewer can throw you off with a set of questions that you didn’t expect. During a data science interview, the interviewer […]

As the Springboard community continues to grow, we are constantly ideating around new ways to best support our students. One of our key takeaways over the past year has been to provide more options for different learning preferences and styles. We hope to offer a more immersive data science learning experience by launching our new […]

In 2018, Amazon scrapped its in-house applicant tracking system because of one major flaw: it didn’t like resumes containing the word “women,” so if an applicant listed “mentoring women entrepreneurs” as one of their achievements, they were out of luck. The system had been trained to vet applicants by observing patterns in resumes submitted to […]

Whenever we access information online, we actively take part in a feedback loop that also creates new information about our own behaviors. From the moment someone makes a search in a web browser, engages with social media, checks the weather on their smartphone, or sends a text to their friend: they generate data. That data is […]

Data science might just be the most buzzed-about job in tech right now, but its pop culture sheen conceals some of the harsh realities of being a fresh graduate in the industry. The job topped LinkedIn’s yearly Emerging Jobs Report from 2016 to 2019 consecutively (it is now at #3). But when Springboard data science alum […]

Plenty of organizations use big data to enhance their operations. Banks deploy data mining techniques to detect fraud or predict the likelihood a borrower will default on a loan. E-commerce companies apply quantitative and probabilistic methods to head off cybersecurity threats while mining massive amounts of customer data to build recommendation engines. Targeted marketing campaigns […]

Data science is a great profession—but it can also be a lonely one. For many newly qualified data scientists, the first few years out of college are a real challenge. Without the camaraderie and friendship provided by your peers, it can quickly begin to feel isolating.  However, data science is actually an inherently social profession. Part of […]