Is speed important on Coursera?

[bjcheung77]

warum ist in meinem deutschen forum Englisch

Oh really? I blame the two Tom's and Jerry (if there is a Jerry posting in this thread).

[infradata.it@gmail.com]

I saw this, kinda a blind reply:

"...in a perfect world..."

TL;DR: What is the goal, it will inform the action/process

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is it important to be fast?
Inside your "free" trial sure .. bang out 5 professional certificates in 7 days (= 15 + 12 +10 + 9 + 6 =) 52 credits "free", , is 100% feasible (without "insane" methodology, seen below)

I "rush everything" I absorb "alot, if interested" ... it falls out my head right after final exam if boring.
/

My 2 cents on "time needed"
Note: I am "assuming" free pre-review/audit of info

1 to 4 "full days" (8 hours worth of sitting there plugging away), per course (reviewed b4 trail period) = 52 credits

Google IT support / Business Int, these are 1 day courses ("Zero to Hero courses", concurrent no issue)
the "UX" one and ""E-Commerce" ones, they are also a day, but slightly longer with out "pre-understanding" content, so lets say 2 days for the pair bundled
Data Analytics is a sticky one I would assign 3 to 4 days
=== In worst case "7 days" (not 1 for rest either)

I did most "cold" (no pre-review), rushed in ADA, and only Google IT was "simple seeming", I still banged them out in a handful of days a pop

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If it is not graded AND weighted.. why you wasting your eyes/lifespan? Proceed directly to "graded tests/etc", skip rest (imho)

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That said...

"If you were to pre-study/audit, pre 7 day trial, & target only graded/weighted portions... I believe the "IDEAL TARGETING" is":

"Coffeelock Learner" (no sleep for days, requires Eversmoking Bottle)

3 SETS - 9 Courses
- Google IT Support (15) + Google Business Intelligence (6) = DO CONCURRENT (21)
- IBM Cybersecurity Analyst (15) + Google Cloud Cybersecurity (9) + Microsoft Azure Security Engineer Associate (AZ-500) (12) = DO CONCURRENT (33)
- IBM Data Analytics with Excel and R (15) + IBM Data Analyst (12) +Google Cloud Data Analytics (10) + Google Data Analytics (12) = DO CONCURRENT (49)

** "peer reviewed" assignments, are your bane

= 21 + 33 + 49 = 103 credits "In a Perfect world, ideally"
"you may learn...nothing, but pain"

There are even well over 20 UL credits on Coursera Plus
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My "belief" does not make this fact (disclaimer)
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IMHO, Coursera is "S=class" for ease, the "only" mostly accepted, "easier" set is TEEX's Cyber 101/201/301 sers (25 credits, when counted "correctly") - Which itself is 1 day to do

[LevelUP]

IMHO, Coursera is "S=class" for ease.

Ya, I agree, S Tier. 

It is pretty amazing how fast you can earn college credits with these certs.

[Mems88]

Thank you very much for all the responses — now I have a few topics to work through!