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Вернуться к Дипломный проект в сфере науки о данных

Дипломный проект в сфере науки о данных, Университет Джонса Хопкинса

4.5
Оценки: 812
Рецензии: 215

Об этом курсе

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....

Лучшие рецензии

автор: 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.

автор: 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!!!

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Рецензии: 206

автор: Harland Hendricks

Apr 08, 2019

Great NLP intro!

автор: 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).

автор: Mohammad Abuarar

Mar 15, 2019

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

автор: Efejiro Ashano

Feb 23, 2019

Cool

автор: 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.

автор: Raunak Shakya

Feb 14, 2019

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

автор: 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

автор: Prabhakar Brahmandam

Jan 15, 2019

E

автор: 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

автор: Shubham Bansal

Dec 12, 2018

Great for Beginners