Udacity Blog

Udacity has a data science track of courses (https://www.udacity.com/courses#!/Data%20Science) and the blog has recently had data science related posts (http://blog.udacity.com/).

As part of partnerships announced today at the Livestream event, Udacity to launch a new Intro to DL using PyTorch course, to be taught by Soumith Chintala who is the creator of PyTorch and also continues to be a lead contributor on the project. They intend to offer scholarships to 300 students who sucessfuly complete the free course to go on to do their Deep Learning specialization/nano-degree. Official announcement here which also links to a page where you can signup for the course that starts in early November. https://blog.udacity.com/2018/10/introducing-the-pytorch-scholarship-c…

Location: Dallas, TX Remote: Yes Willing to Relocate: No Technologies: MOOCs, EdTech and online education (in the technology and programming space), specifically with experiences in content/curriculum development and product management. Resume/CV: --https://www.linkedin.com/in/cheng-han-lee-97b12920 --https://www.udacity.com/course/data-analyst-nanodegree--nd002 --http://blog.udacity.com/author/chenghanlee email: lee.chenghan at gmail.com -- Was one of the early employees at Udacity and helped design and teach 3 online courses on Parallel Programming, Data Science, and Java -- Lead the design and implementation of the Data Science Nanodegree at Udacity -- Looking for remote consulting and/or contracting opportunities -- Thanks for reading and looking forward to talk to you

According to what I have read, "it depends": http://blog.udacity.com/2014/11/data-science-job-skills.html http://www.informationweek.com/big-data/big-data-analytics/3-key-skill…

This looks like the course: https://www.udacity.com/course/ud884 Blog post announcement: http://blog.udacity.com/2014/06/new-mini-course-website-performance.ht… But it looks like this was made available in June.

Python could be a decent choice as well: http://blog.udacity.com/2012/05/learning-to-program-why-python.html

You can take the course for free, but you won't get credit for it. From the Udacity blog: "Living up to our promise to always provide a free path to high-quality education, we are also offering these courses free of charge as conventional MOOCs, but this path will not include instructor access, additional support services, or a path to college credit." Blogpost: http://blog.udacity.com/2013/01/sebastian-thrun-udacity-announces-for.…

Here's the announcement by Sebastian Thrun on Udacity: http://blog.udacity.com/2013/01/sebastian-thrun-udacity-announces-for.…

A few thoughts: 2,360 people applied, each paying a $50 admission fee [0]. That's a cool 118k for admissions triaging. Also on that page, we can see they originally said up to 600 people would be admitted for the pilot program. They admitted 375, with some deferring admission. Maybe the entire 225 other people deferred, but if not I wonder why they scaled back the pilot program. The average age is 35 for the pilot program vs. 24 for on-campus masters. Interesting, but not very surprising. I'm not far past the on-campus age, but I'm keeping my eyes on such programs for the future. The specialities they plan to offer is also in [0]. When I first read that page, I was saddened not to see any options related to programming languages. My only other major speciality interest was operating systems, but I burnt out on that a little. The software development process material sounds interesting. I bet there will be a lot of interest in the AI/Robots and machine learning specialities through this program. I wonder when the courses will be made available for free? An early post about the program promised that "the bare content will be available free of charge." [1] I was hoping to get an idea of what the courses would be like early this year. I don't see anything on Udacity about the courses at the moment. All that said, I'm excited about this program by Udacity and Georgia Tech, even given the apparent failure of MOOCs we have been hearing about. I say apparent, as I think…