Course Recommendation(s)

[FrancisChung]

I thought I'd start this topic because I seem to be recommending certain courses to people repeatedly, so why not share it with the PW community. The topic can be a review or overview of any IT or non IT-related courses you're doing or have done. 

I'll start off with a course on teaching you how to learn. 

https://www.coursera.org/learn/learning-how-to-learn

 

I'm halfway through this course and I can already see huge improvements in the way I'm learning and also my approach to learning.  I wished I've taken this course when I was a student!

The course can be taken free, and all it takes is a couple of hours of your time.

 

If you have kids that are in school, I think this should be compulsory viewing for all children in academia.

If you're into self-improvement or learning, then I can't recommend this course highly enough.

 

 

 

 

[wbmnfktr]

I love this idea.

My 2 cents on this:

https://www.udemy.com/ - always offers several courses for free (or super discounted) from all kinds of topics. (No affiliate link!) ?

YouTube is another great option for courses and knowledge.

Just a few examples from my subscription list:

Code Course*: https://www.youtube.com/channel/UCpOIUW62tnJTtpWFABxWZ8g

Dansky*: https://www.youtube.com/channel/UCAbq1eKey19tt-FfaIO1RMA

DevTips**: https://www.youtube.com/channel/UCyIe-61Y8C4_o-zZCtO4ETQ

FunFunFunction*: https://www.youtube.com/channel/UCO1cgjhGzsSYb1rsB4bFe4Q

Layout Land*: https://www.youtube.com/channel/UC7TizprGknbDalbHplROtag

Travery Media: https://www.youtube.com/channel/UC29ju8bIPH5as8OGnQzwJyA

Wes Bos: https://www.youtube.com/channel/UCoebwHSTvwalADTJhps0emA

Free Code Camp: https://www.youtube.com/channel/UC8butISFwT-Wl7EV0hUK0BQ

Pick your topic. Watch the videos. My favourites highlighted with an *. Super awesome channels marked with an **.

[FrancisChung]

On 5/5/2018 at 8:04 AM, wbmnfktr said:

My 2 cents on this:

https://www.udemy.com/ -

My 2 cents on Udemy.

You need to be selective/careful on Udemy. They seem to have a more lenient criteria on who can upload a course, and the quality of the courses can wildly vary as a result.

I've seen some really good courses as well as some (god) awful ones.

My advice is to have a look at the average ratings of the course, compare the score against other courses in the same domain, and also read the user reviews (both good/bad)  and make a decision.

[pwired]

Quote

YouTube is another great option for courses and knowledge. 

so true,

I also like this one:
https://teamtreehouse.com/discover

 

[clsource]

Hello,

I know this is not a course but a series of userful books

https://goalkicker.com/

These are some that could become handy with ProcessWire

https://goalkicker.com/PHPBook/

https://goalkicker.com/SQLBook

https://goalkicker.com/MySQLBook

https://goalkicker.com/GitBook

https://goalkicker.com/JavaScriptBook

https://goalkicker.com/jQueryBook

https://goalkicker.com/HTML5Book

https://goalkicker.com/CSSBook

 

[wbmnfktr]

It's always nice to have a good read.

[FrancisChung]

If anyone is interested in Data Science (Machine Learning, AI, Deep Learning etc), then I highly recommend this course as your starting point. 

https://www.coursera.org/learn/machine-learning/

It’s offered by the Stanford Uni’s Andrew Ng, who is considered a leading pioneer in this field. The course is regarded as the starting point for any aspiring data scientist’s learning path.

It's an 11 week course with a lot of subjects to cover, but Andrew Ng does an amazing teaching job. 

There is a lot of maths in the course, but don't be afraid of it too much. I was dreading it before the course, but it turned out unnecessary.

You just need to know what a gradient is (of a straight line) and what the sigma symbol is (Summation). They also use partial derivatives, but you don’t need to know how to derive them.

Matrix Operations are used heavily, but there’s a really good primer as part of Week 1’s syllabus.

The course uses Octave/Matlab instead of R/Python etc. And the course feels more like a traditional Computer Science course where they really try and give you a good basic grounding in theory. Having said that, I thought the exercises you did got closer to real world problems as the course progressed.

Whilst you will be very well grounded in all the concepts of Machine Learning, you will probably have to do at least another course or projects to learn how to apply this knowledge in the real world.

I've also shared some tips here for newcomers of the course, if anyone is interested:

[pwired]

If anyone is interested to know more about REST API,
here's a nice tutorial:

http://www.restapitutorial.com/

[SamC]

On 5/6/2018 at 4:46 AM, FrancisChung said:

My advice is to have a look at the average ratings of the course, compare the score against other courses in the same domain, and also read the user reviews (both good/bad)  and make a decision.

Yeah, and you can ignore things like "1 star of 5: didn't teach me how to make an facebook clone" in the comments for a 'Learn basic PHP' course.

On 5/4/2018 at 9:41 PM, FrancisChung said:

I'll start off with a course on teaching you how to learn. 

https://www.coursera.org/learn/learning-how-to-learn

^ this. I have anxiety which gets much worse without clear direction or when burning out spending hours upon hours on problems without breaks. This course has helped me massively to break up my learning and provided different techniques to use which has made programming fun again and much less stressful for me which is awesome. So glad @FrancisChung recommended this one.