Tableau partners with Udacity to provide Data Visualization content for the Data Analyst Nanodegree program
Data visualization skills are increasingly becoming significant competitive differentiators for individuals pursuing data careers, and demand for business analysts who possess these skills is increasing rapidly.
This is why we’re very pleased to announce that we’ve welcomed Tableau as a new partner for our Data Analyst Nanodegree program! Tableau is the global leader in visual analytics, and has been highlighted by Gartner as the “gold standard for intuitive interactive exploration.” According to Wanted Analytics, Tableau is one of the Top 5 skills required for analysts, and the number one data visualization tool.
Companies operating in the field of Self-Driving vehicles face a unique set of challenges when it comes to finding qualified talent. First off, the technology itself is in its infancy, so the talent pool of experienced professionals with specific skillsets is limited right from the start. Next, even for those who have the right skills, only so many have hands-on experience with self-driving systems. There simply aren’t that many opportunities to gain this kind of experience. Udacity’s Self-Driving Car Engineer Nanodegree program is virtually the only program of its kind to provide this kind of 360 learning experience—one that allows professionals to develop the in-demand skills and gain actual hands-on experience with self-driving systems. That’s why companies like AutonomouStuff are partnering with Udacity to find talent.
MIT Technology Review’s 50 Smartest Companies list has come to be considered a kind of innovation bellwether, signaling what the future holds, how we’re going to get there, and who will lead us onwards. All at Udacity are both thrilled and humbled to be included on this year’s list, and we thank everyone involved in the decision-making process for recognizing our efforts in this way. We especially wish to thank our students, for there is no Udacity without you. We thank our partners as well, who help make everything we do possible.
The React Nanodegree Program
With the technology generating so much excitement, and so much opportunity emerging in the field, the timing is perfect to introduce Udacity’s newest offering: the React Nanodegree program!
Understanding how persistence and curiosity can impact one’s career goals is important for anyone at any stage of career development, particularly in light of our continuing transformation into a knowledge economy, and the critical importance of embracing lifelong learning. It is especially important to recognize how the skills you learn, the knowledge you accrue, and the experience you gain, can translate to “value” for both yourself, and for employers. Finally, it can be instructive to explore concepts like planned happenstance and growth mindset, and to investigate differences between persistence and resilience, in order to effectively identify your personal strengths, and those areas you want to improve on.
The two most important traits in a job candidate
A recent Business Insider article highlighted an episode of Reid Hoffman’s podcast “Masters of Scale” that featured Alphabet’s Eric Schmidt as the guest. In the episode, Schmidt identifies what he believes to be the two most important traits in a job candidate—persistence and curiosity.
When it launched, the Udacity Artificial Intelligence Nanodegree program became a kind of landmark in this history of AI. There was no precedent for the program’s groundbreaking combination of content, platform, partners, and services. A career-focused online learning program teaching one of the world’s most transformational technologies in collaboration with some of the most innovative companies on the planet? That simply did not exist before.
The first term of students to enroll and start the program got to experience something genuinely new. They were risk-takers in every sense of the term. Today, less than a year later, their ranks already number in the thousands. Applications for the next available term are outpacing available seats at a ratio of nearly 3-to-1. Still, the classroom experience retains an air of mystery. How do you teach AI in an online classroom environment?
Wonder no more! We are very excited to invite you to a very special, very limited, free preview of our Artificial Intelligence Nanodegree program! From now until June 19, 2017, at 11:59 pm PST, you can enter the classroom, access course materials, and even build the first project.
Experience the Artificial Intelligence Nanodegree Program classroom today!
When choosing a career, there are safe paths to pursue, and there are risky ones.
A career in data offers the best of both worlds. On the one hand, it is a secure choice—demand for data talent continues to increase, and shows no sign of abating. With data skills in your toolkit, you’re going to be in demand in virtually any industry. On the other hand, it’s a brave new world out there. We’re producing massive amounts of data, and that data is making amazing new things possible. But, the methods and strategies we’re having to continually invent to harness all that data means the future is continually being redefined in real time. Those on the data front lines are at the forefront of technological progress.
The good news is, that no matter which route you take—the secure one, the risky one, or something in between—there are ample career opportunities out there for anyone interested in data.
But, how do you actually get started?
That’s where this guide comes in. At Udacity, we’re extremely fortunate to collaborate with some of the most forward-thinking companies in the world, and we work with some of the most innovative thinkers and creators in the data space. Our hiring partners represent some of the best career opportunities in the field, and are a critical source of information about what companies are seeing in their data hires.
We’ve marshaled all these resources together to create this guide for you, and all of our expert contributors offer unique perspectives and experiences. If you’re interested in pursuing a career in data, this is your complete guide. To access the guide, just enter your email address below: