(08-23-2023, 08:17 AM)dfrecore Wrote:(08-22-2023, 09:54 PM)ercmxr Wrote:(08-22-2023, 06:07 PM)bjcheung77 Wrote: @ercmxr - Welcome to the board, as I mentioned earlier, your best bet is to follow our lead, you've got a couple of goals that can be done quickly! An Associates at Pierpont, the BOG with an emphasis of your choice, is what you need to start with. When you've got the requirements for the BOG AAS complete, you can continue with your certs, experience, and also go for the Coursera/TADA offerings towards an UMPI BAS with a minor of your choice. You need to create an action plan and stick to that goal, completing one cert/course or classes from one provider at a time.
Ok, I'm convinced. One thing that has me concerned is this disclaimer from the wiki:
Quote:As of the time of creating this guide, Pierpont only requires a single graded RA credit and everything else can come from Sophia.org or other alternate sources. This is something that could change at any time, however, and students should be advised that they may be required to obtain 12 graded RA credits before being granted a Pierpont degree. Proceed with caution if you don't have 12 RA credits already.
I don't currently have any credits.
Don't bother with Pierpont if you don't need to - people here are obsessed with collecting degrees, but honestly, if you just need a bachelor's degree and have figured that out, don't get distracted by things like Pierpont. Just go ahead and plan out UMPI, get your credits, and then get in there and finish your degree.
If at some point, you decide you REALLY want an AAS, by all means, go back and do it - but you could be done with a bachelor's at UMPI instead, and skip it entirely and not notice. I don't think it's worth the time/effort for most people.
For 99% of people, that AAS will do exactly nothing. It's really easy to get distracted by things, be it extra degrees, or indecision. The people who succeed at this set a goal, and keep moving towards it.
NanoDegree: Intro to Self-Driving Cars (2019)
Coursera: Stanford Machine Learning (2019)
TESU: BA in Comp Sci (2016)
TECEP:Env Ethics (2015); TESU PLA:Software Eng, Computer Arch, C++, Advanced C++, Data Struct (2015); TESU Courses:Capstone, Database Mngmnt Sys, Op Sys, Artificial Intel, Discrete Math, Intro to Portfolio Dev, Intro PLA (2014-16); DSST:Anthro, Pers Fin, Astronomy (2014); CLEP:Intro to Soc (2014); Saylor.org:Intro to Computers (2014); CC: 69 units (1980-88)
PLA Tips Thread - TESU: What is in a Portfolio?
Coursera: Stanford Machine Learning (2019)
TESU: BA in Comp Sci (2016)
TECEP:Env Ethics (2015); TESU PLA:Software Eng, Computer Arch, C++, Advanced C++, Data Struct (2015); TESU Courses:Capstone, Database Mngmnt Sys, Op Sys, Artificial Intel, Discrete Math, Intro to Portfolio Dev, Intro PLA (2014-16); DSST:Anthro, Pers Fin, Astronomy (2014); CLEP:Intro to Soc (2014); Saylor.org:Intro to Computers (2014); CC: 69 units (1980-88)
PLA Tips Thread - TESU: What is in a Portfolio?


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