Oct 23, 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
Feb 27, 2023
The IBM Data Science Professional Certificate is a very good course. lam glad to have covered the course with the help of Coursera. I will put to use all concepts learnt in this Data Science series.
By Manik K•
Apr 27, 2020
Excellent chance to push in every concept learnt so far. Best thing about the course is the chance to self identify a problem and find the solutions all by ourselves. Great Content. Thanks !
By Yibing S•
Jul 10, 2019
This course is instructive and challenging at the same time. Now I do wish I know a bit more about python and pandas before I jump in this course. But in the end I managed to get through.
By Siddhant P•
Dec 5, 2021
Thank You for such a great end to end project, learnt a lot !! Presentation was damn lengthy though
By Jalvo A•
Feb 21, 2023
Hi, I didn't receive the Badge and certification too. Please, Can You solve it for me?
By Ian C•
Apr 26, 2019
Felt a bit constrained by the requirement to include the Foursquare API.
By Nikolay D•
Dec 27, 2018
Very easy to understand and remember this material
By 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
By Abe M•
Oct 28, 2021
Some things need to be updated. Such and such is "Deprecated" errors, typo errors, and less and less thought put on in designing the exercises. I can feel the preparers dropping the ball towards the end of this specialization. Current visualization trends should be included like Tableau.
By Yechen H•
Oct 6, 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.
By 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.
By Pawel P•
Nov 5, 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Some things were outdated and did not work properly for me.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.
By Zoilo S•
Oct 21, 2021
The assignments are either correct or incorrect and the scores are depends on your classmates grade to you.
By Alex Y•
Aug 9, 2019
Did not like Foursquare and was obliged to use it to complete the course
By Martin V•
Oct 21, 2020
As much as I would like to recommend this course, I was really disappointed by the poor quality of the videos in this lecture. They contained a lot of spelling mistakes and were not aligned with what you find in the corresponding notebooks which made it very cumbersome to take notes while watching the lectures. Also the capstone project, while being interesting and challenging, was not properly motivated by the course itself.
I think the extend was good and concept fine but it needs a lot of fine-tuning to be an outstanding course which wants you to continue an do the next one immediately after.
By Brandon S•
Jul 26, 2019
I think I was a tougher critic of my own project than anyone else was going to be; the rubric for peer-grading was almost entirely about presentation with little emphasis on the data analysis itself. The requirement to use Foursquare's API was a limitation on the possible topics for the project, and Foursquare's documentation of endpoints fails to disclose that some fields such as Rating are the result of proprietary, unusual calculations that are unlikely to correlate strongly with any simple data.
By Vimal O•
Nov 9, 2021
On overall IBM data science professional certificate track: Pros: Content is just good enough, instructors are good. Cons: IBM watson and the platform given to practise on is awful and has terrible performance and reliability issues, most often doesnt work and had an impact on my test deliverables. I personally overcame those issues to some extent with kaggle's and google colab jupyter notebook environments.
Sep 4, 2020
the idea and all that was great, but despite doing all the previous courses, it was very difficult for me to do the project ... I felt I had many cheese holes and got stuck many times ... note, I had no experience with DS, programming before, but coming from a finance background ... I would say the entire specialisation is not for a true beginner ... but the course package overall is very strong I think
By Hugh B•
Oct 3, 2021
Overall course is good but as you get closer and closer to the final project in the hints and assignments are not explained very well. I had to go through a lot of back and forth on the dicussion forum to solve problems, often over multiple day.
By Huzefa K•
Nov 21, 2021
Good material but instructions are very unclear. The final project instructions were not at all well laid out.
By Theodoros P•
Aug 25, 2021
This was for me the last course needed for the IBM Data Science Professional Certificate. To have a capstone really makes sense. However, having to use the Foursquare API is very restrictive and does not leave much room for different data science problems. The data provided by Foursquare for my location are only suited for certain types of problems and I had a lot of difficulty finding a rationale for a meaningful project using the Foursquare data. It would be very helpful if more data sources are explicitly provided to allow also ML projects with supervised learning. I also think that the 20h estimation for completing the final task is ridiculously optimistic. I needed at least 100h (time in total) to complete the final project, whereas in all the previous tasks of the 9 courses comprising the IBM Data Science Professional Certificate I needed less than the estimated time.
By Elvijs M•
Apr 18, 2020
On one hand there is some encouragement to experiment and come up with an interesting problem and I actually took some time to come up with something non-trivial before starting. But practically, there is no need to -- you can just take the example notebook from one of the prior weeks and change the city. The evaluation doesn't really reward you for doing something original or extra.
Sadly, the certificate of the specialization as a whole is worthless.
By Izabela K•
Sep 24, 2019
I hoped this course would be more complex but it mostly consist of Foursquare API requests. I had to focus how to fit other datasets in addition to Foursquare data to find something interesting but instead of using fancy algorithms and testing them I had to focus on data and it was really time consuming, I spent 2x more time on each assignment. Whole IBM DS path was great but final course was a big disappointment.
By Bob D•
Feb 7, 2022
A comprehensive recap of the skills learned on the course, but once again full of typos, errors and technical issues. The capstone project itself was an incredibly dull way to bring all the information together, leading to a presentation containing almost no insight. The choice sof data and visualisations made little sense, essentially turning this into brainless donkey work.
By Alperen K•
Dec 14, 2020
it was the worst Coursera course I've ever took. Course capstones pages are buggy, there are not adequate explanations at videos. The final project is very painful because there are not enough resources and you are forced to prepare "notebook", "report" and "presentation/blog post" can't we just prepare two of these items?
By PD T•
Jan 21, 2020
Issues with the lab sessions and untimely responses from the staff hindered my learning. Also, the students did not respond to my questions in the discussion forums, they seem to only be about themselves and having people grade their assignments.