Chevron Left
Retour à Pojet final de science des données

Pojet final de science des données, Université Johns-Hopkins

4.5
812 notes
215 avis

À propos de ce cours

The capstone project class will allow students to create a usable/public data product that can be used to show your skills to potential employers. Projects will be drawn from real-world problems and will be conducted with industry, government, and academic partners....

Meilleurs avis

par NT

Mar 05, 2018

Capstone did provide a true test of Data Analytics skills. Its like a being left alone in a jungle to survive for a month. Either you succumb to nature or come out alive with a smile and confidence.

par SS

Mar 29, 2017

Wow i finally managed to finish the specialization!! definitely learned a lot and also found out difficulties in building predictors by trying to balancing speed, accuracy and memory constraints!!!

Filtrer par :

206 avis

par Harland Hendricks

Apr 08, 2019

Great NLP intro!

par Paul Ringsted

Mar 22, 2019

The project topic itself is interesting, but longer (structured as 7 weeks); not much guidance until you find the right threads from mentors in the discussion forum from a few years ago or repeatedly google stackoverflow; it is much more technical than the rest of the course; and doesn't really use much of what was learned during the meat of the specialization's statistics/regression/ML courses, other than data science principles and tools (though new R libraries were needed). These issues aside, the project was an interesting challenge to complete nonetheless. Overall this specialization is now a few years old, and the plethora of 4 and 5 star reviews across all courses seem generous and out-dated. Materials are not being updated, forums are a mess of years-old threads with not much current activity; there is a feeling of waning interest and participation. This was clearly cutting edge material and course back in 2014-6, if JH/Coursera intend to continue offering it, the material needs some refresh and reordering, tougher grading rubrics (I saw a lot of inconsistency and poor quality which met the rubric criteria, alongside great quality work), and more active involvement from lecturers and mentors (and, please fix the typos).

par Mohammad Abuarar

Mar 15, 2019

This specialization was great and its capstone project was challenging and awesome.

par Efejiro Ashano

Feb 23, 2019

Cool

par Keidzh Sergei

Feb 17, 2019

Brilliant course, the final chapter for the data science specialization. Spent lot of time making my final project, but it wirth it. Glad that I found this specialization a year ago.

par Raunak Shakya

Feb 14, 2019

a very good concluding course for those have learnt the fundamentals of Data Science.

par Samuel Quiroga

Jan 21, 2019

Great way to end the specialization because it forces students to think on their own and be resourceful. It is a totally different type of analysis than on any previous course so it was a great learning experience

par Prabhakar Brahmandam

Jan 15, 2019

E

par Luis Fernando Perez Armas

Jan 08, 2019

Challenging, you are almost left alone by yourself, but i cannot deny that i learned a lot by doing it

par Shubham Bansal

Dec 12, 2018

Great for Beginners