Oct 24, 2019
Its was great experience in completing the project using all skills that we learned in the course, thanks to coursera and IBM for giving me an opportunity to update my selft and also to test my skills
Mar 04, 2020
Very good capstone project. Learnt lot of insights on how to represent data through out this course.\n\nVery good starting point for ""Data Science" field. I would definitely recommend this course.
von Hadi N•
Dec 28, 2019
I would have liked to come up with a capstone project which did not encourage me to use location data from Foursquare, and rather use other data to come up with problems and solutions which do not necessarily have to do with location data. But all in all, it was an interesting course and great knowledge was gained
von Yechen H•
Oct 06, 2019
Overall, the course is very practical, you have the chance to do a project use the technology you have learned so far, and get a feeling of what Data Science work looks like. Recommend for those who interested in Data Science Area.
von Ruiping W•
May 14, 2020
This project is beneficial by providing the chance to explore Foursquare API and generate some realistic results. However the discussion forum is not well used, questions posted there are rarely answered by teach staff.
von Pawel P•
Nov 05, 2018
Some things were outdated and did not work properly for me.
Peer-graded assignments where one has to create a github repository is totally unnecessary.
von Alex Y•
Aug 09, 2019
Did not like Foursquare and was obliged to use it to complete the course
von Stefan A•
Jul 19, 2020
To much focus on the use of the Foursquare API, which is outdated is bit. Other techniques learned in the program are not used, only clustering with K-means. On the other hand, you are forced to experience hands-on reality, when things are just working different then expected (which is meant to be possitive feebback). Week 4 and 5 take a lot of time (far over expected 30 hours, more like 60-80).
von Nik C•
Jun 24, 2020
This course's content is out of date. Students have to rely on the posts of other students to work around issues with the course. This is a real shame as the other courses required to receive the certification are well maintained.
von mustansir D•
Jun 07, 2020
This course is full of bugs (outdated) and lack of explanation for certain matter is seen in Discussion Forums.
von Oritseweyinmi H A•
May 31, 2020
Tough but ultimately very rewarding as you see your own data science project through from inception, to data pre-preprocessing, modelling and finally presenting. All in all, great course and a perfect way to round out an amazing specialization! Thank you IBM and thank you to all the course lecturers who contributed to make this high calibre program. This has given me the grounding and the confidence needed on my path towards being a data scientist.
von Aécio A T L•
May 21, 2020
O curso em si é bom, porém pede conhecimentos que não são passados durante o programa, e isso é algo inesperado, porém todos que querem trabalhar como cientista de dados devem estar preparados para contornar e vencer desafios diariamente. Então vejo como positivo essa estratégia de solicitar algo fora do escopo do treinamento. Pra mim foi muito bom, tive oportunidade de aprender coisas novas o tempo todo.
von Anthony S•
Mar 02, 2020
This course was challenging but rewarding. The setting up of the course was really quite frustrating but as everything continued I found myself incredibly engaged with what is going on. This course specialization was my first exposure to what are essentially programming skills and use of the Python language so it was really valuable to be able to produce a piece of work to demonstrate what I learned.
von Marceline C M•
May 29, 2020
Thank you Coursera and IBM. I can now do statistical programming using different Python libraries, geospatial analysis using folium, notebook sharing via Github or IBM Cloud. Thank you for empowering me through sharpening my data management,manipulation,analysis and presentation skills. Certainly, the IBM Data Science Capstone has been one of the most worthwhile things I've done in 2020.
von Srinivas M B•
May 13, 2019
This Course is excellent and it gives Data Science,Methodology,python programming,Machine learning algorithims,Labs Excercises,Assignments and finally Capstone Project is worth to gain very good skills and knowledge.With this course I gained very strong skills and am now very confident in this Data Scientist field. Thank You Coursera and IBM for this course.
von Hari K G•
Sep 12, 2019
This is wonderful platform for enthusiastic Data Scientists aspirants to learn sophisticated empirical analysis to understand and make predictions about complex systems. Demonstrated methods and tooling from probability and statistics, mathematics, and computer science and primarily focus on extracting insights from data.
Hari Kumar G
von Mathang P•
Apr 28, 2020
This is an excellent course. I had learnt the real-world applications of foursquare API and how we can find out the restaurants, coffee shops, shopping malls etc. within a particular neighbourhood and how to cluster them. I am completely satisfied with the course and content is of very good quality and the lab sessions are excellent too!
von Abhishek S•
Oct 21, 2019
Great Specialization. I thank the whole team of IBM and Coursera for providing me this valuable knowledge. This specialization is my first stepping stone towards my aim of becoming a Data Scientist.
Also, I would love to convey thanks to Coursera for this wonderful Financial aid program, only because of which I completed this course.
von Kalirajan N•
May 15, 2020
The capstone project lets the learner to apply their Data Science skills learned through out the course. All the assignments are peer graded. It is good in one sense, however periodical review from the course admins might make the course grades more authentic and not left to the mercy of the peer reviewers.
von Tareq A•
Apr 27, 2019
It's a high technical course includes new professional and market need tools. In addition to that it review the previous courses tools and used to build our final capstone project.
Thank you, IBM, Thank you, Coursera, Thank you, all Instructors and students who participate in the discussion of courses forum.
von Yixuan Z•
Jun 01, 2020
I really like the hands-on exercises in this course, very interesting. And the capstone project make me review all skills I've leart in this course. I hope I could become an volunteer TA for this Data Science course and contribute to our learner community. Thank you for providing this course!
von Agustin P S•
Feb 13, 2020
I'm glad we get to choose the theme of our final project, because I had a lot of fun, and not having any templates or guides to follow really tests what you have learned until now.
This course can either be really fun or really boring, depending on what YOU choose as your final project.
von Levllyn R•
May 18, 2020
Fantastic, excellently curated
For the capstone , Week 3 was challenging to use the imports for Beautiful Soup (spent a day here and did not figure it out) . As this is different on different platforms, suggest improving this part . Else I loved it.
von Folorunsho E•
Oct 15, 2019
Quite a long series of lectures, but it's definitely worth every minute. I've come to grow from a rudimentary understanding of data science to a level where i can tackle moderately difficult exercises. It was a thralling learning experience for me.
von Sarah S•
Jan 09, 2019
Completing this course has really opened a lot of avenues for me in the internship realm, I feel like I have experience with important concepts that open the doors to the places and jobs I want to go. This course was tricky, but worth it.
von Galib H K•
Apr 10, 2019
The Capstone project was great. It helped me to get some hands-on experiment on data Science. Just one thing, the project should be more open and the restriction of using Foursquare API should not be there. Overall, great course really!
von Jafed E•
Jul 06, 2019
I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand