How did you find codecademys course? It varies by course, but Coursera offers more which means they tend to have more specialized classes. Pros and Cons of these online teaching sites?

I think you should use all three as applicable. As far as edx, The Analytics Edge from MIT is a fantastic, applied approach to analytics that doesn't get too bogged down in the details. codecademy is decent but i enjoy the coding puzzles and problems with real life connections. One of the best online courses I've taken. I've paid for a couple of courses on udemy, but haven't used the others. You even code in the browser, which is nice for using multiple machines. The academic background may mean the course is a bit more intense, more mathematical, etc. But how do they compare to each other? It's pretty unlikely you'll find anything more in-depth than codecademy IMO. The biggest thing is finding classes that have depth and rigor, since a lot of online classes come across as an overview. EDx.

The Johns Hopkins Data Science courses on Coursera are also very solid. Interactive python is really nice, thanks for that. usually very expensive nanodegree programs, but you get mentorships, project reviews, project assignments, only worth paying if you think above points are worth around 200$ a month, single courses are free, but they often have no projects, i don't think they are that good, very barebones (exception being android course, which I know), would use if having trouble with a concept and tried other sources, but still struggle. Press question mark to learn the rest of the keyboard shortcuts, https://trello.com/b/rbpEfMld/data-science. It's very class dependent. I would do edx for beginner and then coursera. i'm recommending udacity to friends because of the depth of explanations as well as mixing videos with coding lessons and quizzes. edX and Coursera have courses from universities that participate while Udacity started with a Stanford prof. Udemy, by contrast, is more like, say, Lynda, with a lot of content but isn't as academic. Thanks, I've decided to start with edX, but I now can't decide between the introductory courses offered by mit and harvard. I completed the Front-End Nanodegree and can say it was completely worth it. By using our Services or clicking I agree, you agree to our use of cookies. Press question mark to learn the rest of the keyboard shortcuts. Udacity is not the company it was a few years ago.

Seriously? Codecademy is definitely good but I think it’s more useful for people that already know a coding language, fine being a complete beginner too as I started out on it, but to use it as a conceptual tool is something I don’t recommend, definitely for learning just the syntax though.

Initially, I started using this Trello Board, https://trello.com/b/rbpEfMld/data-science, but also doing the specializations on each platform for free.

I would start with this one with, since they have cs50, mit etc. edX and Coursera have courses from universities that participate while Udacity started with a Stanford prof. Udemy, by contrast, is more like, say, Lynda, with a lot of content but isn't as academic. I have bought few paid courses on Udemy, but despite 4.5+ ratings, I never felt the wow factor, I opted for a an automated testing course and got to learn a lot but many imp concepts were skipped from the trainer which I realised once I went in depth of it. I thought they have advanced material as well.

Thank you! If you want to actually get a certification that shows you have completed the classes, you could pay for it. Thanks. What course/program/bootcamp is good for gaining hands on experience, like has a lot of projects and also has instructors I can ask for help like "office hours"?

Press J to jump to the feed. It's also a wonderful intro to R and using a lot R's powerful capabilities from the get go.

Just a guy trying to start a career switch and want to go to a relatively newbie friendly but still rigorous course track for data science. Taking Andrew Ng's machine learning class does not. It varies by course, but Coursera offers more which means they tend to have more specialized classes. Also check stanford courses which are online and free. I'd recommend our Data Science Nanodegree but I'm a bit biased (Web Dev Curriculum Manager at Udacity). The 50% back upon graduation was not offered with the first Cohort. Basic stuff you could probably find for free in a youtube video without much effort. Cookies help us deliver our Services. Some specific recommendations: Sebastian Thrun's statistics course on Udacity was quite good. However, their old courses are still available for free, but they are not being maintained nor updated.

I have used coursera and Edx. Cookies help us deliver our Services.

You get bragging rights for attending a top school because you were admitted through the rigorous application process, MOOCs do not offer this credential. Literally at all.) Of course this was the Front-End Nanodegree and I can not directly speak about the Data Science Nanodegree. I really like the EdX Spark course as well. A subreddit for all questions related to programming in any language.

A subreddit for all questions related to programming in any language.

I now want to enroll in a course which will help me get a job at completion and am tied between coursera and Udacity's Nanodegree program. New comments cannot be posted and votes cannot be cast, More posts from the datascience community. codecademy is decent but i enjoy the coding puzzles and problems with real life connections. Intro to Data Science (Udacity): Partial process coverage, though good depth for the topics covered.

Do you suggest using two websites simultaneously (for different courses)?

I found it exciting in the beginning but it got bland afterwards. While Udacity focuses on individual courses and nanodegrees. If you take a step away from traditional education and think about how lessons would be different using technology, it would be interactive learning with visual and auditory lessons. I've been doing the EdX Spark course and it is fantastic - very nice balance between lectures and interesting labs.

Udacity and CourseRA have more content, but less glitz. LEARN MORE Industry leading programs built … Got any suggestions of online resources for this course that I will be taking over the summer? That said, Coursera and edx both have some good options as well. The lectures move unholy fast because it's all compressed into 6-8 weeks.

Going to Stanford means you're (usually) super smart. Coursera offers individual courses, specializations, and degree programs. Basically, a for/while loop is nice to learn, but its more helpful if you learn it when your array is data from a web crawler that you just built, udacity does that. I have not tried EdX (yet). Where as udacity first teaches you how to build a search engine that crawls websites and scrapes out info.

For an introductory course, what is better? Thanks for the input. Udacity has been moving away from the free content model for a few years now.

I haven't had a bad course on the EdX platform, but then again it's the platform I've used the least. http://www.utsc.utoronto.ca/~bharrington/csca48/lectures.shtml. That's one website off the list then. I think there has been 2 minutes out of the past 30 that taught me something. Code Academy has a lot of glitz and interactivity, but is also kind of lacking in content. They are more or less the same and it just depends on what you are exactly looking for. https://github.com/mikesprague/udacity-nanodegrees#ios-developer-nanodegree, https://www.udemy.com/python-3-deep-dive-part-1/, https://www.bitdegree.org/course/python-tutorial, https://www.bitdegree.org/search?q=python.

Please also specify the format of the courses (video, text, both etc), and which one you found to be effective. Gonna start learning code, been learning python on codecademy but I want to learn language(s) in-depth, something I don't get with codecademy. So I know the CS fundamentals from cramming course materials but lack the project and hands on experience. I'm excited to take Scalable Machine Learning next. CourseRA attracted me at first because of its courses like SaaS and Algorithms. The Johns Hopkins Data Science courses on Coursera are also very solid. I've been wanting to learn data science online and have been taking statistics classes on udacity. I think the best coursera courses cost money -- $49 a month -- but they do have some free ones, udemy is very inexpensive - but most of their courses are not as good as the others, https://www.edx.org/course/cs50s-introduction-computer-science-harvardx-cs50x, https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-11, https://www.edx.org/course/introduction-computational-thinking-data-mitx-6-00-2x-6, https://www.udacity.com/course/intro-to-computer-science--cs101, https://www.udacity.com/course/introduction-to-operating-systems--ud923, https://www.udacity.com/course/intro-to-algorithms--cs215, I have taken the mitx 600.1 and .2 Very good classes both on the practical level of learning the practical as well as theoretical aspects of python and computer science. I would recommend taking the introduction course and decide after that.



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