The demand for qualified data analysts is high and increasing. But employers aren’t just looking for people with the right technical skills; the ideal job candidate needs to excel at business thinking as well. That’s why we partnered with Microsoft to create the Data Analytics Career Track. We offer a unique approach to an analytics curriculum. […]

Course Report recently spoke to Digital Marketing Career Track graduate Amy Brennen about her passion for nonprofits, the value of mentorship, and how her career has changed since completing the course. Here’s part of that conversation.   What were you up to before attending Springboard? I’ve had quite a varied background working primarily in education and nonprofits. I […]

Data analysts take raw input and make magic happen. This “magic” process of making data more palatable (or more importantly, useful) is called the data pipeline. To get there, you need the right data analytics tools, but what are the right tools? We’ve curated a list of useful software—an extended data analytics stack—that data analysts […]

If you search on Glassdoor for UX jobs, you’ll find nearly 26,000 postings. UX is a growing, thriving field, and demand is at an all-time high. User experience is about making products, websites, apps, and other pieces of technology as easy to use as possible. While aesthetics is a component of a good website or […]

In this post, we’ll define quantitative data, share quantitative data examples, and outline the differences between qualitative and quantitative data (and other data types). But first, let’s take a step back. From test scores to satisfaction ratings to tweets, 2.5 quintillion bytes of data are generated every day. But not all data is created equal. […]

As a UX design professional, you’ll want to have a number of different tools in your toolbox when evaluating the usability of a product. We’ve already talked about a few common UX research techniques on the Springboard blog, including personas and user flow. Heuristic evaluation is another important technique to keep in mind during the […]

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 […]