What are /r/coursera's favorite Products & Services?

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Coursera has made it difficult to find individual classes in order to push their Specializations. You can enroll in a specific class by searching for it in the search bar. The class you wanted can be found here.

Well, I'm in Canada and the price for courses is shown in Canadian dollars. Check out https://www.coursera.org/specializations/python and see what it tells you. For me, the price is CDN$552 for the whole specialization, or CDN$105 per individual course.

Internet may be an issue depending on the course you take. If you take their older-format courses, such as this one, you can download the lecture videos for offline viewing. If you take their newer-format courses, such as this one, downloading is still possible but not as user-friendly. For either format, you can use the Coursera app to download videos as needed.

Only one or two courses of the 30+ I've tried did any live streaming, and, for the course that I was taking, they were optional Google+ Hangouts for office hours that were uploaded later to Coursera anyway. Check the course description, and you can always unenroll if things don't work out.

I recommend trying a course for free for a couple of weeks before paying for the certificate if that's what you plan on doing. Older-format courses give you at least a week after the start date to enroll in Signature Track. In newer-format courses, you have until just before the end date to pay for a Verified Certificate.

I took classes in both the data-warehousing and the big-data specializations. The data-warehousing one is OK. You will find the first course mind numbingly boring but they get better. You will need to install a lot of software on your desktop so beware. There are a lot of busy work assignments that are peer graded; grades are WILDLY inconsistent. The big-data one is a big disappointment. You can learn this better via self study. Get some books on Hadoop, Spark, Pig, Hive, machine learning, and cloudera account; good to go! In lieu of that data-analysis class above, I would recommend this one:

https://www.coursera.org/specializations/excel-mysql

I would recommend you learn "R" in lieu of Python; Johns Hopkins has one of the better Coursera certs:

https://www.coursera.org/specializations/jhudatascience?utm_medium=courseDescripTop

https://www.coursera.org/courses

That will take you to the older version that doesn't emphasize specializations as much as it does now, but it still isn't ideal. You can still sort of search for on-demand courses here, though. One would think that a site offering so many courses in user interface design would know better...

Otherwise, I've been using CourseTalk to look up classes by start date.

A single course that teaches everything at the same time is difficult to find.

I took this one from Duke https://www.coursera.org/course/statistics and it was excellent. The instructor is really good, the slides are very well done, as are the homework.

Is more centered on statistic, the R programming part is made throug datacamp and I found it quite easy with respect to the statistical content of the course.

But anyway many many many times better than the data science specialization.

Edit: this one started last week on edX https://www.edx.org/course/introduction-big-data-apache-spark-uc-berkeleyx-cs100-1x but I didn't look at it yet, so I don't know how it is

Nevermind, I figured it out.

For the fields enter them like this:

Certification Name: Enter anything you want. eg. R Programming
Certification Authority: Coursera
Certification URL: Enter the link to your certificate: eg. https://www.coursera.org/maestro/api/certificate/get_certificate?course_id=973493

If I remember correctly the second assignment becomes REALLY more difficult, and got people stuck on it for 20+ hours. The forums were full of furious remarks about the programming background, so maybe they changed something in the course since then.

I remember that course as a sequence of slides full of R commands, one after the other. Really not useful and really confusing for programming beginners.

From what I remember, the first course was so easy as to be useless, and Statistical Inference was a big mess. Didn't try other courses of the specialization after that.

I suggest this course for people interested in starting out with data science https://www.coursera.org/course/statistics . Superb slides, stellar instructor, instructive exercises and very gentle R introduction.

CourseTalk has user reviews for many MOOCs as well as a comprehensive course listing across different providers. I've found this site to be the most helpful. MOOC List also offers course listings and numerical ratings.

Asking or searching around here can net some helpful things, as well.

Edit: Coursera now offers first-week previews for many of their newer-format courses without the need to enroll, which may or may not be helpful for determining whether or not something is good.

I'm afraid there is no solution other than getting a VPN or building a VPS.

Both Coursera and edX are definitely blocked by the Great Firewall (GFW) in China, with Coursera being almost completely blocked and edX being partially blocked because it hosts its course videos on Youtube.

If you need a reliable proxy to bypass GFW, you could try Google Outline, Shadowsocks, V2Ray, etc. VPS can be provided by Vultr, DigitalOcean, Bandwagon, etc.

Or maybe refer to this website for a constantly updated list of VPN/VPS service with relatively good performance.

Okay so what I did was Google search the individual course within the specialization (not the specialization itself) and click enroll on the right side of the screen. The window that pops up will show the increasingly sneaky 'audit' option in addition to the paid ones.

Here is a link to the interview guide you mentioned:

https://www.coursera.org/learn/interview-preparation

I may be dumb but I honestly do not see this option. For example I would like to access this course: https://www.coursera.org/specializations/english-interview-resume?authMode=login

And I see no options to see the videos without paying.

I don't understand why the videos aren't available for this:

https://www.coursera.org/course/algs4partI

I signed up to part II too and it says there that the videos for part I should still be available.

In that case here is what I would suggest exploring For web dev Id look at https://www.freecodecamp.org/

You might also want to look at bootcamps for data science/data engineering if you like math.

The most important thing imho is what you can do not what certification you have so look at jobs/companies you are interested in and try to do work related to that business domain and using the same tech stack, many job posts mention their tech stack.

You can also check out https://aws.amazon.com/training/ a lot of what they offer is in demand.

I know its not coursera, but to get a dev job from onlines courses thats where I would start. Again this is just in my opinion.

Writing in the Sciences is more focused on papers, and mostly for the life-science/medical part.

I guess you do not need all the part about referees, peer review, rejection, or which journals to apply to.

The peer assessment is dreadful (people seem to give mostly random grades for assignments, and leave little or no feedback), but lectures are nice.

For the speaking part I only saw this one https://www.coursera.org/course/publicspeak, which is not science oriented, but maybe you can take a look.

Two days later, I came here to ask the same questions!

http://www.downforeveryoneorjustme.com/coursera.org claims it's just me.

But, it doesn't feel completely down, it's just that everything lags, and because it's doing all its things in javascript, it never gets around to timing out. I'm not sure http://www.downforeveryoneorjustme.com/coursera.org tries to look at anything but the home page. Or even runs the javascript.

There is no way to specifically search for archived classes. The archived classes look just like upcoming or in-session classes, except on their landing page the button says "View Class Archive". Kinda like this:

https://www.coursera.org/course/law

Try clojure instead? The book is fairly agnostic in terms of the particular language, in that you write most of the functions yourself, so you don't necessarily need to read the book and follow along using Scheme. It's not like an overview of Python or Java where they discuss particular language constructs. The book provides some overviews of common abstractions that probably will make more sense later on, but that are ubiquitous in all of programming, hence it's popularity.