This is very good course actually. I learned many things about the tools for analysis and also practice forward through the application. But sometimes several students cannot register for cloud or notebook service, I hope the developer can fix it.

The content was useful, but the quizzes/exam seemed to have certain instances of questions being less about knowing the tool and how to use it, and more about whether you retained every specific word said in the videos. The tutorials were useful.

Some of the instructions were not so clear/outdated, but the teaching staff were pretty timely responding via the discussion forum. A few things were not covered in the reading/videos so I had to do my own research to answer the quiz questions.

The "Week 3" module appeared to not have been updated and caused some confusion and issues with the final project. The discussion boards made it more confusing too.

Good and clear information in the first two weeks which is why it got 4 stars.

Great videos, Great start to the field of data science. Great review of the tools that would be used in this field. Suggestion: There should be more hands-on practice of the tools instead of explaining as it was done in some of the videos. Fo

There is a lot of description about IBM Watson tools and it's amazing at what one can do with those tools. It did feel a little overwhelming for a person like me (with zero knowledge about Data Science), but I guess it's going to be worth it.

This is a good introductory course, perhaps a bit too easy if you're already familiar with other programming and notebook tools. I nonetheless learned a lot and feel like it contributed to expanding my skillset and knowledge in data science.

Content is great, but it is not updated to match latest updates in IBM website, it needs to be updated to save students some time searching for workarounds on how to apply things mentioned in this course in the new layout of the IBM website.

Advanced course. Some topics were hard to comprehend. Enjoyed the deep dive into near 100 tools data scientists use. It was tough to understand 2 of the teachers in their videos, but I can understand english is not their native language.

Assignments reviewed by peers is not a fair assessment. I uploaded the assignment twice but still 4 points were deducted for no reason. All the exercises were completed as mentioned and all were passed based on the rubric criteria as well.

A lot of information jammed into a well-presented online course, The IBM platform is enormous and complex... it will take a lot more than this course to fully appreciate the services rolled into IBMs cloud services, but it's a good start.

The Quizes and Lab assignments are very well designed. If a student does not pass the final exam in first attempt then questions are changing randomly each time from different topics of the course that's good thing to check the knowledge.

The lesson for Week 1 is hard to keep concentrating and the way to simplify some contents is not clear for beginner who has no background knowledge like me but can't deny that this course is benefit for one who wanna pursue in this career.

some of the content and labs were not completele clear, specially around git.

some of the questions' answers were not completely covered in the material.

some of the content went unnecesarily deep when all we were looking at was the tools

Comprehensive information. However, the ability to use IBM Watson Studio and IBM Cloud Pak for Data for free as part of the course is completely broken. You can still complete the course, but you can't do the exercises in Watson Studio.

The course needs to be updated with instructions on how to use the current IBM Watson Studio , it took a lot to navigate around the tool and figure how things work. Besides the outdated lecture materials, this was an insightful course.

Few of the videos and reading material do not give the complete information of what all are the pre-requisites. For some one who is not from programming domain will not know about such pre-requisites. Otherwise well developed courses.

I felt the Jupyter notebook and Markdown portion was more highlighted than the others. Could have been made much more better, but I am grateful for even the little that I learnt. I would sincerely like to thank the course instructors.

Very clear explanations

Though I feel assets used in tutorials must be provided in order to have step by step and success rate.

I found myself getting stuck when uploading my own datasets and the jupyter notebooks returned with errors.

Some videos need to be polished a little better to be more understandable. Specially the ones where people walk you through coding and using tools: they go a little bit too fast for people like me who know nothing about this subject.

This course is very beneficial for beginners. As the instructor teach you how to use Data science tool such as Jupyter Notebook, Zeepline Notebook, R Studio etc.

One thing i fill that the teaching sense is not that good for beginners.

Interesting but sometimes shows lots and lots of tools that you won't been using during the course. Fewer tools taught in a more significant way like doing labs would be great. It does a good job in making you use Jupyter notebooks.

Esta muy bien pero los estudiantes de coursera no tenemos acceso al IBM SPSS version para estudiantes, Coursera es una empresa potente y se que puede conseguirlo. Agraqdeceria que si lo consiguiesen ame avisen para poder utilizarlo.

Very good course, if you are hoping to use the IBM set tools, but stills it gives you a perspective of whtat to expect whereas using this kind of tools, although you need to know a little bit of programmig to fully aptreciate it,

There is a lot to learn here, and some parts of it are very information dense. I am just very glad that we are able to study this at our own pace.

Overall, I am happy with this course and look forward to the starting the next one!