|From:||San Francisco, USA|
|Course:||Foundations of Data Science|
|Before Springboard:||Enterprise Architect, Marketo|
Without Springboard, there's no way I would be where I am today: doing what I'm passionate about at a company that I'm honored to be a part of.
If someone had told me that I’d be working for Pandora as a finance data analyst upon completion of the Foundations of Data Science course, I probably would have laughed it off. And if they had added that I’d be working for my Springboard mentor, I definitely would have laughed it off-- too good to be true! But that’s how things played out! I no longer pinch myself when I walk into the office, but I happily face each day with hard work, gratitude, and an open mind-- just like I approached the Springboard course.
I signed up for Springboard because I was hoping to transition from engineering to data science. Engineering was fun, but much of the demand today is for apps, which don’t really excite me. I find it much more interesting to use that same engineering skillset to weigh in on business problems with far-reaching implications, like predicting downturns and upturns for a company, rather than solving technical challenges. It’s more prevalent than ever that data drives decision-making, and data science is the art of coming to those strategic decisions.
By the end of the course, I was able to really improve the performance of the models that I had built into my project.
I had tried various online learning sites such as Lynda, Udacity, Khan Academy, and Code School. They all were extremely effective as starting points, and many of them are featured on Springboard. The difference between these and Springboard is that they all provide courses on specific topics, whereas Springboard provides a structured curriculum to go from point A to point B. In the case of my data science curriculum, Springboard was able to take the field of data science, identify the key skills needed (both theoretical and practical), structure an intuitive learning path to acquire each skill, and challenge me with a final project that makes use of all of them. Without that careful curation of content, I wouldn't have been able to figure out what I needed to learn in the first place.
Initially, I was unsure whether I would have the amount of time necessary to devote to the program. However, the self-paced nature of the program combined with the patience of my mentor made this a non-issue, and I was able to complete the course without any pressure of a deadline.
This course was the first step in getting my foot in the door of the data science field. I’m grateful that Springboard was the beginning of my data science journey.
"I left academia almost two years ago, and I have no regrets."
Springboard is a wonderful stepping stone to get to your goals in Data Science.