Great Learning
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tis habere sanctus est leke les habere sanctus est :)
First things first and they are for the audience; 1)Course is for leveraging Applied Data Science for decision making so you have to have the Scientific and Academic notion(or the equivalent understanding gained in practice) first which is basicaly curiosity , eager and willingness to research,read ,practice and humbleness as a start. Do not expect that by diffusion all will penetrate to your brain and magically you turn into your perceptive dream during and/or at the end of the course. 2) Curriculum is packed, which means you need to be a juggler, fast reader, not a sleeping type after 10 mins reading or watching after long hours of daily work. Get utmost benefit of precourse material and time if you are new to Science,Data, AI, coding etc. 4) This is adult and professional learning not a high school course, which means you get the curriculum which you already considered before you apply, evaluated and decided that it fits as well as you are ready to give what it takes. Regarding the course Curriculum covers all essentials , can it be re structured ? Yes but its deaigned to keep a minimum acceptable level for a larger sprectrum population. Faculty is top notch they can go as deep as needed ( as needed is the limit so don't try to show off :) ) Announcements are timely and enough to get your attention(even mine :)) ) Response time to inqueries is mostly fast to on time considering the diverse time zone attendees. Materials are enough, but as in academic and scientific notion meaning bare minimums you should know and practice. The rest ,well as an data science practitioner you should know if more info/research is needed or not and where to find them. I have read the earlier comments as well , and found out that course management improved most parts already. So they are proactive. Overall course does what it should and fulfills the intend. Satisfying realistic outcomes, Yes in a measurable way, Yes Nevertheless notthing is perfect to fullfill human desires and perception vs perspective wide biased decisions so there will be some whom wont be satisfied (with themselves and enrealistic expectations of their perceptions not the course itself) Some who wants to squeeze most out it should go back and re do the course and move on. Cheers