I took four Saylor courses, three of them before they were available for credit...I was using them to prepare for other tests. The one I took for credit was COS101 which was so easy for me, that it's hard for me to judge the course. The only problem with Saylor is that the material is spread over various public websites. This causes problems with broken links, duplicate information, and changes in terminology from different sources. The courses that were better were able to leverage a single online textbook rather than a melange of sources.
On the plus side, there are multiple versions of the final, a practice one, one that gets you credit with Saylor, and the proctored final for ACE or NCCRS credit. You can use the first two as prep for "real" final. For some courses, you can use the quizzes and assignments as ersatz study guides, for others they don't track the course material that well. I feel that Saylor is worth trying, especially if you feel you have a leg up on the material or are just a very good test taker.
On the plus side, there are multiple versions of the final, a practice one, one that gets you credit with Saylor, and the proctored final for ACE or NCCRS credit. You can use the first two as prep for "real" final. For some courses, you can use the quizzes and assignments as ersatz study guides, for others they don't track the course material that well. I feel that Saylor is worth trying, especially if you feel you have a leg up on the material or are just a very good test taker.
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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