Data Science Program | Coursera Community
Coursera Header
Solved

Data Science Program

  • 26 December 2018
  • 6 replies
  • 236 views

Badge +1
I was wondering what happened to the structured program for data science which was listed as track.I was learning data science last year which I chose as track and there were courses listed from beginner to advanced but now i can't see such an option while there are tons of data science courses listed and I am not really sure as to where i should make the first step and then how to move to intermediate to advanced courses.

Has coursera done away track based learning ?
icon

Best answer by learning_is_adventure 26 December 2018, 06:58

https://careers.coursera.org/data-scientist/ ,so we have to do these courses by searching for them individually as well as registering for them also individually
View original

6 replies

Hi and welcome, @learning_is_adventure,

My understanding is that you're referring to the career/learning paths. Yes, Coursera has replaced those paths. We recently discussed it here, too, if you would like to see what others have already shared about it:

https://coursera.community/community-help-questions-40/coursera-learning-or-career-paths-380

The links that our Community Manager shared could help you achieve your goal, so click them and follow the instructions, please. Hopefully, you will get some useful information.
Badge +1
Thank you for replying but after looking at all the links you have shared i am even more confused .When i took the quiz i found that it is showing only two courses for Data Scientist plus their is no demarcation as to how to proceed from beginner to advanced in terms of learning process which has left me basically scratching my head
@learning_is_adventure, oh, sorry to hear that. Let's wait and see if other members have a better link/solution to share.
Badge +1
i found it
Badge +1
https://careers.coursera.org/data-scientist/ ,so we have to do these courses by searching for them individually as well as registering for them also individually
That is great!
And, these are more links for other subject areas for those who are interested:

"data scientist, full stack developer, marketing specialist, machine learning engineer, UI/UX designer."

Reply