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.
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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.
I also got a 500 when trying to signup with facebook. When asked about posting I selected privacy as "Only Me". Maybe that had something to do with it.
A curriculum of books to go along with these would be great.
The thing with online courses / video series is that they can give you a great introduction to the topic, but it is often difficult to know where to go next for a deeper understanding!
Also useful for filling in gaps of prerequisite knowledge e.g. "before diving into this stats book, make sure you understand the concepts from this basic algebra book!"
1. I want a "build a language" learning path, updated for the modern ways and with emphasys in what to do after get the AST (ie: Is easy to find info about lexing, parsing and build a AST. But not what to do with them)
Something that explain how implement small bits (like: This is how build a assigment, how build a function, how check types, etc)
It would be nice to have a learning path on Computer Engineering and Computer Science which can guide a beginner all the up. Thanks for this one, will check it out.
Gonna toss my hat in here for the engineering bit. Plenty of programming and math out there, probably owing the the fact that physical material is harder to work with virtually... there doesn't seem to be much quality circuit and low level stuff. The micro-controller class on edx just past being a major exception.
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