Overall, a very good value. Introduces new topics in Data Science well. Although the Capstone is suitably challenging, I still feel as though there must be a different format to help solidify the coding syntax for python pandas so that the learner doesn't have to rely so much on referencing StackOverflow or previous lessons. Those portions of the code remain a lot of cut and paste rather than truly building the knowledge base.

To whom it may concern,

the course overall is very targeted to useful tasks and knowledge. One thing that could be improved is the final project with perhaps several options that are more specifically defined than the current form of the project. I understand that this will encourage copycats to participate. Another thought would be an interaction with other peers.

Thank you for the consideration.

A good course but this last "Capstone" course takes a lot more time than is allocated. I had to look up many Python coding instructions and do a lot of research myself. I feel like the initial 8 courses do not prepare you sufficiently for the final assignment. I probably spent twice the hours allocated on this assignment but had a great feeling of accomplishment at the end.

The inconsistencies among the datasets used in different files should be explained. For instance, why the dataset for SQL queries has 101 launches whether the data for model development has 90 launches and the data used for the dashboard only has 56 launches. I have confirmed my code several times and I don't see any reason for this inconsistency on my side.

Some material was a bit too basic, and not all subjects were covered in enough detail for me to feel completely qualified to jump right into data science work professionally, but this was a fantastic series of courses to get familiar with data science concepts and workflows in Python. It's given me the tools and knowledge to continue learning more on my own.

This course is great as they give you a guideline and teach you how to approach the project. I like how it was open-ended and you can decide on your own project scope so it's up to you on how in-depth you want to go. However, perhaps more help and guidance could be provided as open-ended projects means there's too much to explore on your own

If you are expecting a follow the leader style class where they go over a methodology and you follow behind, this is not your course. The teachers go over basic stuff in video and challenge you with much harder problems to make you go out and find answers on the internet and delve into you problem deeper.

Very good course. There were some serious downtimes in the IBM Developer Skills network which delayed my progress significantly 5. I had to extend my course time by a month and the next month's fees kicked in. That said, it was a great experience doing this course and the professional certificate overall.

A real challenge! There were moments of frustration, particularly when libraries wouldn't work on different Jupyter notebooks. However, I have learnt so much. All the courses in this professional certificate have prepared me well... but there are also some very knowledgeable people in the data community.

Great set of courses to help experienced data scientists have a refreshers on the latest tools and methods. I really enjoyed the concepts and frameworks that I can apply in my future career. One way, I think that help improve this is a topic on ROC curves and how to plot them for model evaluation.

Good subject to analyze. It could have been a little harder to force the students to learn more. As it is, you have to be self-motivated to explore and go beyond the basics.

I think the amount of learning is commensurate with the amount of effort.

I would recommend the course.

I think that the geocoding and APIs need to be sorted out much better. You should not present students with location APIs, like google, that do not actually work, explain that they are available intermittently, then give them a csv file and call it good enough.

I felt like the course did what it was supposed and gave a broad overview of many skills and tools all data scientists should be aware of. I thought that the lab exercises and quizzes could have been a bit more in depth.

Valuable course to know more about Foursquare API, but short in content (more focused on assigning a final project). Maybe more tools or even templates for reports and/or presentations would make it more useful.

Very good to tie everything together with a Capstone project.

However, I had a tough time with the limitations of the Fourthsquare APIs.

So as a suggestion, recommend to use another API in the labs/projects.

Overall a solid course. I wish there was a little more explanation of the code that was used but this capstone definitely pushed me to learn and get better. Thanks IBM and Coursera for the course!

Good course, steps you through all the relevant steps and reasoning. The final project is graded more on your ability to put together a power point than your understanding of the material though.

This course for me was very challenging, not only for the assessments but also because I introduced new tools to my study like APIs. I really appreciate the time and the knowledge you gave me.

Last week took me too much time, but that was my own laziness. The course is well designed and taught me a lot about data cleaning, and strict deadlines are also a good learning. Thank you.

You should include questions relevant to learning material but i learned a lot more from this course and IBM really facilitated me to complete this specialization by aiding me financially.

Lots of outdated content and not many resources to help, however a lot of it was at least a little bit useful. Though a lot could be cut if you already know a thing or 2 about programming

Overall it was a good course. It could have been better is the support staff for the course were available answering questions. Some of the materials are outdated and needs to be updated.

Very in-depth and rewarding project - would be a little better if more specific guidance on what to exactly include in the notebook would be better. But overall very stimulating. Thanks!

After some trouble, I was able to fix the issue with the ID identification... But nevertheless, the Certificate is not shown when using its link...

The Course, nevertheless, is great!

The capstone project was difficult. I struggled to incorporate the concepts I learned throughout this training in the final project, however I don't have any statistics background .