I sent this to Mary awhile ago but received no response.
Can someone please answer?
Hi Mary,
I’m not sure I totally understand Guided Projects. I’ve never written a data science report before or had any data science knowledge prior to enrolling with Dataquest, so I’m a little overwhelmed, learning Jupyter Notebook while trying to create a data science report, or whatever the official name is. So, anyway, my question is are we supposed to copy the solution, step-by step, just to get our feet wet, or is there another way we are supposed to create the project. I know I have to combine writing and code, but I’m just not sure how I’m supposed to do this or what I’m supposed to do. I know it’s a stupid question, but any guidance you could provide would be appreciated.
As of right now, I’ve sort of been paraphrasing your copy and following the solution, but I don’t know if that’s what I’m supposed to do.
I copy DQ’s solutions all the time … I do take a sneak peek, because I am also learning.
Well, the idea is for us to learn how to exactly combine our understanding of the problem statement, the solution/ workaround we devised and the results we obtained based on our skills acquired in the course.
If the results somehow don’t match - match not with DQ, but with the question/ objective of the problem statement - then what was our re-approach to it and so on.
It’s okay if you have copied the first 1-2 projects or rather based DQ’s solution as a template.
What should your take-way ideally be - the workflow of the project:
how was it introduced to the audience,
what is the objective it is trying/gonna achieve
the process followed (basically coding part) along with an explanation of relevant steps taken
summarizing results obtained from the code parts
forming conclusions based on the results obtained
any additional work that you have done for the project (not necessarily) at the end - this can be in between the project as well.
but all these things combined like a smooth flowing article.
Consider it a techno-functional resume that we need for better job prospects and to prove our talent & skills to prospective employers in which DataQuest is helping us out.
… I do take a sneak peek, because I am also learning.