gautambay

Thanks!

Okay.

Could we please reinstate the "built by a former Airbnb Data Scientist", though? That's material information, in that this is not just any curriculum, but one that's expert-curated. As people on this thread have indicated [1], the credentials of the person building a Learning Path are important.

[1] https://news.ycombinator.com/item?id=7816100

Thanks! We'll try to add a full CS&E curriculum.

The closest thing we have is a beginners' web development path (not the same thing at all, I realize, but sharing if helpful) http://www.mysliderule.com/courses/learning-paths/web-develo...

Thanks, added to the list!

Absolutely! A Growth Hacking path is on our wish list. Know anyone awesome who could help us build it?

Haha thanks, that was just a fun side project when we were applying to YC S14. :-)

We got asked this question before, and here's our analysis of the differences.

1. Coursera focuses solely on R for Data Science. SlideRule covers additional tools (e.g. Python​, SQL​) which a practicing data analyst will find handy. It seems there's a bit of an R vs Python debate in the data world, so we think it's useful for people to know both.

2. SlideRule's path has an (optional) "intro to programming" section for beginners. Coursera assumes some prior programming experience.

3. Most of the courses in the SlideRule path are "self-paced", so in theory someone studying this full-time could cover it in 4-6 weeks. Coursera has fixed start and end dates, so the fastest one could complete the track (accounting for interdependencies of courses) is ~24 weeks.

Thanks! As it turns out, progress tracking is at the very top of our feature list. :-)

Thanks! Added to the wishlist.

Thanks, we'll be sure to take a look!

Sorry, we're working to fix it! For now, you can access the Learning Path by dismissing the sign-up modal (X in the top-right corner).

Thanks! What are the ideal credentials that will give you confidence in the curriculum?

Thanks for catching that. We'll get on it.

Thanks for the feedback! That's exactly what we're hoping to do, create the "glue" around all the great content that's out there!

One question: How important are the credentials of the "expert" to you?

We (SlideRule) launched our first “Learning Path” on Web Development on HN a few weeks ago, to very encouraging feedback. https://news.ycombinator.com/item?id=7501516

This is our second Learning Path, on Data Analysis, built by the awesome Claudia Gold (MIT alum, self-taught data scientist, early at Airbnb). The aim is to list helpful resources in a sequence that a beginner can follow.

Once again, we realize this is a curriculum, not the best curriculum. We'd love your feedback on what we should change or add.

------

Edit: Since we have your attention, here are some other ways in which you can help us:

1. Tell us which new Learning Paths you‘d like to us build.

2. Collaborate with us to build a Learning Path on a subject where you're an expert.

3. Request features that will help you take better advantage of Learning Paths.

We’re at founders@mysliderule.com

>> and specifically, they don’t silence minority groups—we’ve looked into this

curious to learn how this analysis was conducted. e.g. how does HN determine which users belong to a minority groups?

i inadvertently found a workaround when i installed the pocket chrome extension -- https://chrome.google.com/webstore/detail/pocket-formerly-re...

i now see an "add to pocket" link next to every HN story, so i am able to separate voting and saving for later (albeit on a different app).

Well, the alpha version just went live at http://www.mysliderule.com/data-analysis-intro.

We'll work on structure / organization and release an updated version later this week.

Considering that learning is a means to an end for most people, another factor is employers' willingness to hire a self-taught individual -- far greater in areas like software development or design (where one can showcase one's skills through a portfolio) than say medicine (where the only credential of accepted value is a professional degree). Not saying that's the way it should necessarily be, but the status quo presents a hurdle for self-learners and content creators.

That said, we're in this for the long haul, and we definitely want to try and push the boundaries in areas other than software/technology down the road.

If you want to be hear when we launch a Rails track, best way is to create an account on SlideRule. We send out a weekly newsletter that includes new stuff on the site.

Javascript track -- Not on the list right now, but tell us more. Do you know people who'll sign up for a waitlist? If we come to believe there's enough demand, we can expedite it.

Separately, I'm curious -- which bootcamp did you attend and how was your experience?

Also, checked out your profile. Domi sounds like an awesome idea with tons of potential!

Steve -- Wow, I have to admit I'm a little star-struck by your comment here. Your course is easily the most awesome single resource I've found for learning web development -- thanks for your work on it!

Quoting my co-founder (and creator of this path) Parul's response to similar comment below.

"My apologies if you found that disorienting! You are right that CS101 becomes a prerequisite for CS253 (if you don't know python already). The reason I started with CS253 is because, personally for me, it helped a lot to know the top level concepts of "How web works" and the front-end (because that is what a normal user sees) and then go into concepts of server side languages which might seem too involved and dry to a beginner."

good call! i think i have someone even better than me in mind for it.

For now, the best way is to just create an account on the site. Our weekly newsletter will tell you when new stuff becomes available.

Thanks, will check it out. We've leaned towards free resources where available, though $5.99 shouldn't burn a hole in most pockets.

We're working on it! Next up: Data analysis. Which ones would you like to see?

Just checked out your profile and saw your post from a few days ago. Would love to chat more and exchange notes. Will email you.

Our next one (launching this week) is in fact on data analysis! Check back at http://www.mysliderule.com/learning-paths this Friday.

That's right, we created a Python/Django Learning Path because that's what we knew best (also, there seem to be fewer resources on the topic).

We'll be sure to check out the book for the Ruby version of the Path.

Fair point.