The course was excellent to introduce the tools you have promised us. However the narrator of Zeppelyn Notebook and RIDE videos was not engaging enough. It would be more efficent and engaging if you can introduce those two tools in the same manner as you did with Jupyter notebooks.

The content and resources for learning are excellente. However, I had a lot of problems for signing in the IBM cloud and it is impossible to contact Coursera for help. At last I managed to have my account, after some hours lost, and some emails sent directly to IBM Cloud helpdesk.

the third week was very tiring. the use of Watson studio was not intuitive and the videos did not explain well what to do. I lost a lot of time creating a project because I had a different configuration than the one shown in the video. I had to enable options that were not default

The information is really bad, because it contradicts the actual functionality from the website. The material need to be removed and corrected. Now it's a waste of money, as all course explains how to use specific tools, while providing incorrect view.

Peer assignment was nice.

The layout of the course feels cumbersome. At the end there will be hundreds of topics only hinted on and not explained. The course content needs to be reviewed for reduction. This could be a specialization on its own. However it does the job of introducing data science tools.

The general outline of the course is very interesting. However, the content is getting old. Furthermore, there were technical issues on the IBM cloud that blocked many people (including me) to finalize the course. I spend 30% of my time trying to solve technical issues.

The course is fantastic with simple explanation and good tips. However the videos are showing an outdated IBM Watson Studio interface which makes it confusing for beginners to follow. Please do upload a new training video with the updated IBM Watson Studio interface

Lots of good information, but much of it is outdated. The names of these programs have changed. Also, the ordering of the videos seems awkward, like they don't frontload the information in the right order, so that you're filling in pieces between and after lessons.

The course videos need updating. I, and other students, have wasted a lot of time trying to follow the out of date materials, not to mention the confusion and frustration that it creates. If the materials were kept up to date, I would have left a five-star review.

The R programming ungraded practice set needs more explanation of the codes and process, specially pertaining to plotting. It is difficult for a beginner to understand the pre given codes without proper explanation of what the plotting code is executing exactly.

too much seperated and shallow information about tools. may be good for someone who wants general ideas about tools, but just to sparse info in my opinion. maybe concentrate on one tool and guide to use it properly would be better. really hard to finish this one

First two weeks were to the point and good introductions to Jupyter Notebook and Zeppelin, but the third week tutorial on IBM Data Experience is so out of date as to be useless for being able to set up a new project and complete the assignment. Very frustrating.

Jupyter Notebook module was explained well however other tools like SPSS Modeler were a little difficult to understand for me. While explaining some of the examples in Watson Studio, it main objective / problem of the project wasn't explained in the beginning.

The first two weeks of the course are poorly explained and don't have regard for total beginners. It gets really disappointing in week 2 where the quality of the videos and the structure of the lecturer is really poor. However, weeks 3 and 4 things get better.

It's comprehensive enough, but should include more exercises for programming. I don't think it was necessarily the right decision to make this course come before programming, but it should accompany programming. It was alright with respect to content, however.

The videos and instructions on this class were terribly outdated. Despite the warning provided at the beginning that the videos were out of date, this is still unacceptable. It takes very little time to make a video of the quality and length in these courses.

you will learn about some of the tools you will need to use, but they really need to have someone proofread and test these courses. in many ways it felt very sloppy. random lines being repeated unnecessarily, poor rubrics for the peer graded assignments, etc

Terrible experience with the IBM Cloud platform. An account is needed in order to achieve the final assignment.

At first they deactivated my account without any reason. Then, due to an error on their side, I had to spent 2 days in order to create a new one.

This course has a good introduction to some online, open-source tools. It does not really discuss the drawbacks of these tools or their real use in industry. The test questions are detailed "gotcha" questions and not aimed at true comprehension of material.

Lots of videos are outdated as the tools (Both CognitiveLabs/Datascientist workbench AND IBM Watson Studio) have gone major updates and it was very difficult to follow the video tutorials. Unless the videos are updated, I cannot give a better rating than 3.

Production quality on the videos was not what I would expect for a professional qualification from a reputable company like IBM. Content was okay, but focused heavily on the IBM suite of services, making it feel more like an infomercial than a tutorial.

I was pretty disappointed with the weeks of this course. Not only it lacks 'on-hand' tutorials but the vagueness of video lectures, lack of instructions for beginners. A total downer for amateur beginners whose looking into the world of data science.

Some material needs to be updated. Even though it has been clarified at the beginning of the course, many things have changed and the videos and reality are different. The concept is the same of course but it causes confusion among students.

Thank you

A decent enough intro to some of the tools, specifically Jupyter notebooks. Week 1 just mentions a bunch of technologies without going into much detail. Week 3 is in my opinion a waste of time as it functions mainly as an infomercial of IBM services.

Some issues with lab instructions not lining up with current version of the IBM cloud platform. First sections just kinda listed heaps of tools in way too much detail - later weeks were helpful in their focus on one or few immediately useful tools.