The good news is that very few of the skills you currently possess are going to be obsolete in the near future, if ever. That said, the work environments where those skills are currently valuable are probably going to change, and possibly even disappear. This makes it likely that at some point you’re going to need to prove that your existing skills are transferable skills. It also means you’re going to need to learn some new skills. These are the new rules of career change.
Today we are very pleased to share with you our interview with Kiyoko, a Machine Learning Nanodegree Plus graduate who transitioned into data science from a 10+ year career in semiconductor processing. Like many students, Kiyoko’s journey was full of obstacles. As you’ll see from her story, however, her adaptive mindset, self-care, and professional support networks made all the difference in overcoming these obstacles and achieving her goals. Kiyoko now works as a Data Scientist at Western Digital, and we are very grateful she’s sharing her story with us today!
A recent CNBC article made the point clearly and succinctly—”There’s no question America has a skills gap.” Drawing on a study by the Career Advisory Board, in which 62% of the 501 hiring managers polled said that higher education students were “underprepared” to meet current skills needs, the article specifically looks at why industry giants like Google are partnering with learning providers like Udacity to address this critical challenge.
A Win-Win Learning Model?
The answer has to do with two key features of our learning model: 1) We are able to teach the most important, most relevant, most up-to-the-minute skills, and 2) Our students are able to turn their learnings around quickly, and demonstrate their proficiencies to prospective employers in tangible, meaningful ways. The rapidity and efficiency of this agile model results in uniquely prepared learners getting fast-tracked into critical open roles the moment they open.
At face value, this is a win-win for all—industry makes clear the skills they’re seeking, learning providers build laser-focused programs that teach those skills in targeted ways, students accrue desirable skills, and organizations hire those students.
At Udacity, we believe you should be able to learn wherever you are, and whenever you want. Our goal is to make sure your mobile learning experience is always the best that it can be. So we are extremely excited today to introduce you to the latest upgrade of your Udacity App for iOS and Android!
Below you’ll find examples of some of the changes we’ve rolled out. We hope you love what you discover, and we can’t wait to receive your feedback! Your input is absolutely critical for helping us provide a world-class mobile learning experience.
When I first heard about the company “writeathon” I almost immediately dismissed it. Me? Writing a blog post in English? With all these super articulate and smart people around me? No way.
It took me right to the spot I feel most uncomfortable in—the language.
Less than 5 years ago, I was working on Afghanistan programs at the U.S. State Department, where the most advanced tech we used was Microsoft Excel. I had zero programming experience. Today, I’m a software engineer at one of the most successful education startups in Silicon Valley.
On March 8, 2017, it was announced to the world from the stage of Intersect 2017 that Udacity and DiDi were partnering to sponsor a $100k Self-Driving Car Challenge. To which the world has since responded: challenge accepted!
Over 1000 teams have signed up to compete in the challenge, with registrants coming in from the US, China, India, Canada, Germany, the UK, Japan, and more. The final deadline to register is April 21, 2017 at 11:59 PM PST, but the clock is already ticking! Join the competition today, create or join a team, and get ready, because the first round of the challenge starts on March 22nd!