[Tutor] Just wanted to ask about SimpiLearn Data scientist course

[dn]

On 29/08/2022 22.03, عبدالله راشد wrote:
> Hello!
> I'm willing to have a course from SimpiLearn as  a data scientist but
> unfortunately I am not sure if is going to be a good course, I'm still new
> and don't have any experience or knowledge about data scientist.


Cannot comment about this particular course, nor the organisation.

Am wary of the 'Boot Camp' concept, and its attraction as a short-cut.
Yes, the course may (appear to) require less real-time than others, but
the easiest way to construct a short-course is to leave-out topics. This
is only acceptable if your future-employer is prepared for you to learn
on-the-job.

An alternate approach, taken by some, is to rush matters and condense
sessions or force learners to work long hours. None of these are
conducive to learning, nor to retaining what has been learned in
long-term memory. In fact, the added stress of 'rush' has a negative
effect on one's ability to learn. Nevertheless, it appears to work for
some people, indeed whole cultures; but its side-effect is a narrow view
and inflexible use of language/techniques.

Will admit to a bias against anyone who uses the word "simply" (to build
a moon-rocket, you simply ...). Such indicates that the writer (may)
understand the topic, but that (s)he has probably forgotten or dismissed
the notion that effort is required to learn same. Similarly, or even
worse, outfits that advertise large $salaries which will *simply* fall
into your lap upon conclusion of their course.

Claiming that complex concepts can be made so-easy? Selling hope rather
than Data Science? 'Silver bullets' rather than mental sweat?

Accordingly, the more conservative approach: recommend sticking with
known-names in online training, and be prepared to put-in the
"deliberate practice" to achieve mastery, eg Coursera, edX, FutureLearn.
NB if cost is a factor, then many such courses can be attempted $free -
and when you know which course is going to help win you a job, you can
go back and pay for (only) that certification.

Ultimately, the answer varies according to economic conditions. When
there is a shortage of staff, employers lower their requirements. When
people are more-available, employers use terms such as "n-years of
experience". Why don't you contact a few likely prospects, and ask them
what base-qualifications they currently expect? - often making 'contacts
in the industry' pays-off in other ways too!


Disclaimer: I use the edX platform, but not for Python or "Data Science"
training.
-- 
Regards,
=dn