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. Is there anything in particular you want to learn? Thanks, I've decided to start with edX, but I now can't decide between the introductory courses offered by mit and harvard.
Udacity has been moving away from the free content model for a few years now. Which one has higher quality/better results? Press J to jump to the feed. The lectures move unholy fast because it's all compressed into 6-8 weeks. For an introductory course, what is better? Where as udacity first teaches you how to build a search engine that crawls websites and scrapes out info. Also check stanford courses which are online and free. 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. It’s hard to say precisely what is the best choice between Coursera, Udemy, Udacity and EdX. The workload often feels pretty insane too. The Johns Hopkins Data Science courses on Coursera are also very solid. 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. codecademy is decent but i enjoy the coding puzzles and problems with real life connections. I've been wanting to learn data science online and have been taking statistics classes on udacity. I agree with this. Enrollment opens for a week on the first Wednesday of each month and if you complete the program we'll refund half your expenses. Press J to jump to the feed. 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. Coursera is quite good, however I feel like some of their courses vary in quality. I haven't had a bad course on the EdX platform, but then again it's the platform I've used the least. I've been told the mit course is more theoretical while the harvard one is more practical. However, their old courses are still available for free, but they are not being maintained nor updated. The ability to link from the lecture right to relevant spots in the forums is great. The Johns Hopkins Data Science courses on Coursera are also very solid. Personally, I think they are bit over priced but you are getting an education from a top university for fraction of a cost and they need paid subscription to keep the sites running. I like Khan Academy's style, but it doesn't have enough content yet for Python. The program is quite extensive and challenging. It's very class dependent. 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.

Thanks for this helpful advice!

He gives you the answer? I'm excited to take Scalable Machine Learning next. Udacity and CourseRA have more content, but less glitz.

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. As a data science resume screener, I can tell you that MOOC certifications and classes do not carry even a fraction of the weight as an on campus degree from these schools. Claims to be 48 hours in length (six hours per week over eight weeks), but is shorter in my experience. They have databases, algorithms etc. 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. Khan Academy is amazing for math in general, but it's very lacking in programming content. And there is mine: http://ProgramArcadeGames.com. CourseRA attracted me at first because of its courses like SaaS and Algorithms. Press question mark to learn the rest of the keyboard shortcuts. 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"? I've been doing the EdX Spark course and it is fantastic - very nice balance between lectures and interesting labs. Thanks. I thought they have advanced material as well. Do you suggest using two websites simultaneously (for different courses)? 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. There are exceptions for sure, like the WebDev course by Colt Steele seems to be quite comprehensive and well worth paying the £12.99 when it is on sale. I've paid for a couple of courses on udemy, but haven't used the others. You'll have access to a community of your peers and our coaching staff, all of which have extensive programming backgrounds. I completed the Front-End Nanodegree and can say it was completely worth it. A subreddit for all questions related to programming in any language. I think the Intro to Machine Learning course on Coursera is one of the best at doing exactly what the title says. Just in general, Udacity, edX, and Coursera are more academic. I can either answer them directly or find the right person for you to talk to. LEARN MORE Industry leading programs built … By using our Services or clicking I agree, you agree to our use of cookies. http://www.utsc.utoronto.ca/~bharrington/csca48/lectures.shtml. I'd recommend our Data Science Nanodegree but I'm a bit biased (Web Dev Curriculum Manager at Udacity). The academic background may mean the course is a bit more intense, more mathematical, etc.

I have tried Coursera and Udacity. Thanks for the input. Seriously? Pros and Cons of these online teaching sites? I have been taking various classes on all three platforms. A subreddit for all questions related to programming in any language. One of the best online courses I've taken. Please also specify the format of the courses (video, text, both etc), and which one you found to be effective. I was apprehensive about doing the paid version at first. Coursera I can surely trust on reason there trainers are knowledgeable experienced and deliver up to the mark.

As a result, Vishal "The Vicious" Makhijani stepped in as CEO.

i'm recommending udacity to friends because of the depth of explanations as well as mixing videos with coding lessons and quizzes.

So I know the CS fundamentals from cramming course materials but lack the project and hands on experience. Most of the courses on Udacity are free of cost but they do not tell you a path to learn a language unless you join NanoDegree, I found out this GitHub resource which tells you about the path to be followed for learning web development end to end - https://github.com/mikesprague/udacity-nanodegrees#ios-developer-nanodegree. What would you recommend? The intermittent quizzes are good. I have never used edX therefore won't comment on it. Press J to jump to the feed. How did you find codecademys course? i have done udacity/codecademy/khan academy. Of course this was the Front-End Nanodegree and I can not directly speak about the Data Science Nanodegree. Udacity is the world’s fastest, most efficient way to master the skills tech companies want. codecademy is decent but i enjoy the coding puzzles and problems with real life connections. Data science on Udacity vs Coursera. Coursera offers individual courses, specializations, and degree programs. 100% online, part-time & self-paced. New comments cannot be posted and votes cannot be cast, More posts from the datascience community.

You'll come out of it with a portfolio of projects that have been not only functionally reviewed but line by line code reviewed. I found it exciting in the beginning but it got bland afterwards. Cookies help us deliver our Services. Initially, I started using this Trello Board, https://trello.com/b/rbpEfMld/data-science, but also doing the specializations on each platform for free. 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. It's pretty unlikely you'll find anything more in-depth than codecademy IMO. If you want to actually get a certification that shows you have completed the classes, you could pay for it. That's one website off the list then. I think you should use all three as applicable. Cookies help us deliver our Services. Literally at all.) The lectures are great and the labs are sufficiently challenging to learn a lot from them. I could recommend some specific materials. I surfed a bit in the last week and it seems those three MOOC sites are the most popular for newbies in datascience. With the extra mentoring, resources and the group experience it is so much impact full.

Udacity is not the company it was a few years ago.
For me that is even more motivation to make it to the finish line. I have used coursera and Edx. You even code in the browser, which is nice for using multiple machines. But how do they compare to each other? Basic stuff you could probably find for free in a youtube video without much effort.

Almost immediate, things began to …


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