Slayed by Python: Onlinedegree.com

[davewill]

There are tons of MOOC courses on Python on Coursera and Edx. I would suggest doing one or two of those and then do PLA.
...

I would suggest doing one of those, then using the knowledge to slog through the OD course as quickly as possible. PLA is much more expensive and time consuming.

[gamebradie]

Will using the edx courses help for taking the other CS courses too?

[MNomadic]

Will using the edx courses help for taking the other CS courses too?

I don't see why not. In fact many professors use MOOCs from edx and Coursera to supplement their own curriculum.

[gamebradie]

Will using the edx courses help for taking the other CS courses too?

I don't see why not. In fact many professors use MOOCs from edx and Coursera to supplement their own curriculum.

I already bought a Python bootcamp from udemy back when they had a 90+% off sale a few weeks age. I'll check out those other sites for the other CS courses. Thanks!

[Merlin]

There are tons of MOOC courses on Python on Coursera and Edx. I would suggest doing one or two of those and then do PLA.
https://www.coursera.org/specializations/python
https://www.edx.org/course/computing-in-...gramming-2

You might only need to do the first course in each specialization. The trick is to make sure that everything covered in the MOOC course covers each of the learning objectives in the syllabus.

Maybe that would be an interesting project. To document what combination of MOOC courses would cover learning objectives for different courses. Might make for a good blueprint for PLA using MOOCs.

I wouldn't suggest the PLA option... that is a lot of work for a lower-level into to programming course. Now if you were doing PLA for a number of courses already then slipping this in would be fine, but its expensive and time consuming just for a single course that you can take online or at a local CC for cheap.

There are a number of free online Python courses that could be taken and completed in a weekend (or in a week or two at least), and then you can come back to take the OD course with more foreknowledge and hands-on experience.

[jonesy20]

There are tons of MOOC courses on Python on Coursera and Edx. I would suggest doing one or two of those and then do PLA.
https://www.coursera.org/specializations/python
https://www.edx.org/course/computing-in-...gramming-2

You might only need to do the first course in each specialization. The trick is to make sure that everything covered in the MOOC course covers each of the learning objectives in the syllabus.

Maybe that would be an interesting project. To document what combination of MOOC courses would cover learning objectives for different courses. Might make for a good blueprint for PLA using MOOCs.

I wouldn't suggest the PLA option... that is a lot of work for a lower-level into to programming course. Now if you were doing PLA for a number of courses already then slipping this in would be fine, but its expensive and time consuming just for a single course that you can take online or at a local CC for cheap.

There are a number of free online Python courses that could be taken and completed in a weekend (or in a week or two at least), and then you can come back to take the OD course with more foreknowledge and hands-on experience.

I figure it'll take me about 7 more hours to finish the Intro to Programming at OD and I was planning on doing LearningCounts for Data Structures. Figured while I was doing that I should be able to document Intro to Programming at the same time without too much extra cost. 

Started Study.com Intro to Operating Systems yesterday. 60% finished in a day. Really nice mobile app, quizzes that actually match the content. Will be taking Computer Architecture next with them. 

Does their Intro to Java count as Intro to Programming credit if I wanted to take that instead of PLA or finishing OD? I have no experience with Java but I do have a good amount with C# and from what I understand they are pretty similar.

[Merlin]

There are tons of MOOC courses on Python on Coursera and Edx. I would suggest doing one or two of those and then do PLA.
https://www.coursera.org/specializations/python
https://www.edx.org/course/computing-in-...gramming-2

You might only need to do the first course in each specialization. The trick is to make sure that everything covered in the MOOC course covers each of the learning objectives in the syllabus.

Maybe that would be an interesting project. To document what combination of MOOC courses would cover learning objectives for different courses. Might make for a good blueprint for PLA using MOOCs.

I wouldn't suggest the PLA option... that is a lot of work for a lower-level into to programming course. Now if you were doing PLA for a number of courses already then slipping this in would be fine, but its expensive and time consuming just for a single course that you can take online or at a local CC for cheap.

There are a number of free online Python courses that could be taken and completed in a weekend (or in a week or two at least), and then you can come back to take the OD course with more foreknowledge and hands-on experience.

I figure it'll take me about 7 more hours to finish the Intro to Programming at OD and I was planning on doing LearningCounts for Data Structures. Figured while I was doing that I should be able to document Intro to Programming at the same time without too much extra cost. 

Started Study.com Intro to Operating Systems yesterday. 60% finished in a day. Really nice mobile app, quizzes that actually match the content. Will be taking Computer Architecture next with them. 

Does their Intro to Java count as Intro to Programming credit if I wanted to take that instead of PLA or finishing OD? I have no experience with Java but I do have a good amount with C# and from what I understand they are pretty similar.

If you're already planning to do a PLA submission then that makes more sense. However, most folks that go that way only do so to bypass the more difficult courses to find online or at a local CC. The big upfront cost is the two required PLA planning courses. Once those are done, adding extra classes into the submission appears to be fairly cheap, so go for it.

If you want to just take the courses online instead (which will still be faster, less work, and likely cheaper), as far as I know, the only Alt Ed course that comes into TESU as Intro to Programming to meet the BACS requirement is the OD course. The others appear to evaluate as their representative language: Programming in C, Programming in C++, and Programming in Java.

[posabsolute]

Depending on your game plan, you should do intro to programming and Data structures last. We know that study.com has those 2 courses but aren't for credits currently. But we also know study.com has started investing heavily in getting CS courses ACE accredited.

So there is a medium amount of chance that study.com get theses in a couple of weeks/months.

[gamebradie]

Depending on your game plan, you should do intro to programming and Data structures last. We know that study.com has those 2 courses but aren't for credits currently. But we also know study.com has started investing heavily in getting CS courses ACE accredited.

So there is a medium amount of chance that study.com get theses in a couple of weeks/months.

By the time I finish all the GE courses, they should be ACE approved by then.

[Merlin]

Depending on your game plan, you should do intro to programming and Data structures last. We know that study.com has those 2 courses but aren't for credits currently. But we also know study.com has started investing heavily in getting CS courses ACE accredited.

So there is a medium amount of chance that study.com get theses in a couple of weeks/months.

By the time I finish all the GE courses, they should be ACE approved by then.

There is no way to know for sure if or when those courses will be available for credit. You can do them last to give it a better chance, but make sure you have a backup plan if those don't receive ACE recommendation (or don't do so quickly).