You will engage in 5 hands-on labs for creating advanced models …. Because our goal is to get you up to speed as quickly as possible, we'll cover through the 30 lectures, The course will enable you to extract actionable insight from your customers' data According to a Mckinsey Study, demand for data scientists is projected to exceed supply by more than 50% by 2018. That's the gap you as citizen Data Scientists are going to fill Citizen data scientist are "Business people with the right attitude - curious, adventurous, determined - to research and improve things in the organization" SAS The need is so, that according to Gartner, by 2017, the number of citizen data scientists will grow 5 times faster than the number of highly skilled data scientists. This course is designed for business professionals: marketer, manager and analytical minds in every department … who want to take their skills to the next level. If you have solid business knowledge, curious, determined to improve things in your company or just willing to learn new methods and tools than this course is for you….

As artificial intelligence creeps deeper into each and every industry vertical, demand for experienced technical talent only continues to increase. Now online education tools like Udacity and Coursera are being thrust into the spotlight as potential solutions to the problem. But even as course enrollment in AI classes balloons, Fortune 2000 companies are still paying an unsustainable premium for data scientists. We're excited to showcase this ecosystem at Disrupt SF. Both Udacity's Sebastian Thrun and Coursera's Andrew Ng understand the potential repercussions of this trend intimately.

As artificial intelligence creeps deeper into each and every industry vertical, demand for experienced technical talent only continues to increase. Now online education tools like Udacity and Coursera are being thrust into the spotlight as potential solutions to the problem. But even as course enrollment in AI classes balloons, Fortune 2000 companies are still paying an unsustainable premium for data scientists. We're excited to showcase this ecosystem at Disrupt SF. Both Udacity's Sebastian Thrun and Coursera's Andrew Ng understand the potential repercussions of this trend intimately.

Mike Salem from Udacity's Robotics Nanodegree is hosting a series of interviews with professional roboticists as part of their free online material. Abdelrahman is a Software Development Engineer in the Core Machine Learning team at Amazon Robotics. His work includes bringing state-of-the-art machine learning techniques to tackle various problems for robots at Amazon's robotic fulfillment centers. You can find all the interviews here. We'll be posting them regularly on Robohub.

You're in good company – a recent article by Laurence Bradford in Forbes calls data science'the century's hottest career'. But how can you get your foot in the door? Many resources out there may lead you to believe that becoming a data scientist requires comprehensive mastery of a number of fields, such as software development, data munging, databases, statistics, machine learning and data visualization. You don't need to learn a lifetime's worth of data-related information and skills as quickly as possible. Instead, learn to read data science job descriptions closely.

Udacity will be at the International Motor Show (IAA) in Frankfurt, Germany, this week! I'll be flying over on Wednesday as part of Lufthansa's FlyingLab which is a little bit like South by Southwest in the sky. My main event in Frankfurt will be at the me Convention, which is a conference put on by Mercedes-Benz in conjunction with SXSW. On Friday afternoon I'll be speaking on a panel entitled, "Teaching Machines to Drive Like Humans", with Sarah Marie Thornton from Stanford, and Danny Shapiro from NVIDIA. Late Friday afternoon, Udacity will be at the Speaker's Corner at the IAA New Mobility World.

What is Artificial Intelligence (AI)? Artificial Intelligence (AI) is the study of computer science focusing on developing software or machines that exhibit human intelligence. "AI is a broad topic ranging from simple calculators to self-steering technology to something that might radically change the future." Predictive systems– These AI are made to look at statistical data and form valuable conclusions. . Editing Software's– Here AIs suggest the ways that can be used to make pictures and texts more attractive. .

The data industry is a rapidly evolving space with the development of new technologies, methodologies, and platforms almost every other day. So, keeping pace with this industry can be challenging indeed. I have, therefore, created a list of 15 tech and data science influencers who are not just a source of inspiration to data science professionals and aspirants alike but also ensure that you keep abreast of all the new developments. I have not taken social media influence and related metrics into account. I have created this list based on how much I personally enjoy the content these individuals share on their social media.

Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means. This makes building truly unique AI as simple as changing a few lines of code. If you unleash your imagination, the potential is unlimited.

Big Data is the future, and it's right here, right now! There's no doubt about it that Big Data is a powerful discovery tool, but all too often when you analyse a lot of data, you end up with a lot of results - too many, in fact, to be able to hold them all in your head simultaneously. So I'll amend my earlier statement: Data Visualisation is the future, and it's right here, right now! Apparently, visuals are processed 60,000 times faster in the brain than text, and are more easily committed to long-term memory. Visuals also make it easier to tell stories with data. Hey - I think I've heard that before somewhere...(see website footer for a clue!). Most of all though - visuals can help to simplify complex information.