Completing your first 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 set. You should decide how large and […]

A Curated List of Data Science Interview Questions and Answers 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 […]

So, you want to work with data, but you’re not sure which area of expertise is right for you?  At Springboard, we’ve developed several courses that teach students the skills they need to get jobs in different data-focused roles. Let’s break them down. Data analysts sift through data and provide reports and visualizations to explain […]

If you’re thinking about getting into programming or expanding your skill set, Python is a fantastic language to learn. The best Python books, as listed in this article, will help you quickly put your newfound skills to good use.  Python can be applied to a variety of programming tasks, like software development, website development, general […]

Both data scientists and machine learning engineers get to work on some pretty exciting business problems, but which one is the “cooler” job?  To answer this question—and many others—we invited Nikunj Bajaj, a machine learning engineer at Facebook, and Sreeta Gorripaty, a data scientist at Uber, to sound off.  And because they’re married, they did […]

In my last post, we explored a general overview of data analysis methods, ranging from basic statistics to machine learning (ML) and advanced simulations. It was a pretty high-level overview, and aside from the statistics, we didn’t dive into much detail. In this post, we’ll take a deeper look at machine-learning-driven regression and classification, two […]

The three-step Springboard admissions process is designed to set our students up for success. The challenge portion is an important step that ensures that each student is a good fit for the course and will achieve the ultimate goal: getting a job in their desired field. To enroll in the Data Science Career Track, prospective […]

No longer a field best suited for pure abstraction, data science is all around us today. From major industries to academia, the demand for this expertise continues to grow. An inherently multi-disciplinary field, data science can best be summed up as the process of extracting knowledge. It’s all about fine-tuning our tools to mine, store, […]