The videos were fairly informative. They only instructions on how to install/access some of the programs and platform use, most of this information is incomplete or obsolete as certain platform were still inaccessible. e.g I had figure out how to download Jupyter Notebook myself, and lucky I did as that was the only way I could open the handout files in the course - the links they provided NEVER worked. Even the final assignment had two different sets of instructions, causing confusion and frustration among students.

Most of the videos are outdated and even the written lab instructions can use the incorrect terminology. This seemed to be more of an advertisement for IBM's data science tools than anything actually helpful. The section that covered the various languages and environments was decent, but a lot of the course feels like they're putting the cart before the horse... going through advanced machine learning programs before actually teaching anyone the fundamentals of data science is *not* the right way to do this.

Program information advises that this course is ideal for beginners with no prerequisites required. This is absolutely 'false'. Week 2 of the program is most certainly about programming, writing code, utilizing Git/Github and a video with an instructor going 90 miles an hour offering instructions on creating a new project that was totally confusing which lead to my decision to cancel my subscription of this course. Refer to Week 2 Discussion Forum for comments of other participants. Very disappointed.

Videos seem to be copied in from third parties. They do not have a logical progression and often overlap.

Many instances of the video showing an obsolete version of the software to the point that it is impossible to follow the instructions given, and the students must scour the forums or google to find their own solutions. This type of learning is not worth paying for.

Exercises were not educational. My only takeaway from this course was one sentence summarizing the tools given and markdown shorthand.

Very poorly organized. I was taken straight to the video section at the beginning of this course. Unfortunately, the videos dive right into coding in Python, even though the first course in this series had never discussed Python!

Also, the quizes do a poor job of educating someone like me who is new to Data Science. Important subjects are skimmed through in a very ad hoc fashion, and then the quiz begins, but you cannot reference the notes that cover that quiz.

Overall, very poor course design.

As an introductory course, (which it is supposed to be) this course is awful.

The videos consist of large amounts of technical jargon that are not understandable to someone who is a beginner. There is very little explanation of why or how something is being done.

Many of the instructions have not been updated for the most recent version of the tools .

There are many, many, many confused people on the message boards over the last few months, yet nothing has been done to correct it.

The videos are outdated for several months now. The content must've been good before, but now it is useless considering Watson Studio has been updated radically.

We're paying real non refundable money for something like this! This is not acceptable. This issue has also been raised in the discussion forums but nothing has changed.

I have been digging in the forums trying to follow the course but It is impossible to !!

I feel cheated, and so will you, if you enroll here!!

One of the most frustrating courses I've taken yet, mainly due to outdated materials leading to inability to follow instructions. One cannot create an account in IBM Watson Studio, and the UI's shown in the material are also not the updated UI, leaving the user to have to Google every other second to follow the instructions.

Week 3 felt more like a marketing and training effort by IBM, rather than the insightful instruction the former weeks were. Utterly annoying.

If you are looking for a middle-school level course with a (un)healthy side of IBM product marketing and advertising, this course is for you. Perhaps I have been spoiled by the good quality of Deeplearning.AI and Andrew Ng's excellent courses with their good coverage of the topics. They provide excellent slides you can download and annotate during the lectures, and WORKING labs that have a good balance in implementation difficulty and insight into the problem.

They push you to use non functioning IBM tools (they crash, you have to register but need to look for ways to by pass credit card requirement, etc) and advertise some products of IBM related to Data Science. The whole course is except GitHub and RStudio sections is total loss of time. If you do peer graded assignments in Watson Studio, it does not work, so you have to do it again with GitHub. I have never seen such an unnecessary course in my whole life.

The peer-graded assignment system is broken. I completed all tasks entirely and to the exact instructions. I have been deducted points for no valid reason by my peer. The staff response to me in the forums is that I need to "reattempt and resubmit". Where is the oversight to ensure peer-graded assignments are being graded fairly and correctly? What am I paying for? I shouldn't have to waste my time resubmitting due to incorrect grading by a peer.

This certification track is complete garbage! The first course was superficial definitions of Data Science - I can look all that up on my own! The second course was very sloppy with the instructions, the screen shots did NOT match what I saw on Watson studio, when I reached out for help, the instructors response was totally unhelpful. Coursera needs to either revamp this course or cancel it! This was a huge waste of time and money!

Very poor at the moment. Week 2 Rstudio section has a downloadable map, after lots of work I did manage to do a workaround to get the zip file but then it couldn't be loaded. Equally and worse Week 3 covers Watson Studio, this has changed from Data Science Experience; the blurb says that its just a name change but thats not correct and I wasted hours trying to follow the instructions from the old layout through to the new layout.

Video tutorials are outdated, based on the old interface of IBM tools. Teachers are not giving instructions how to get some of the tools like Jupyter notebook of RStudio, they don't say which libraries needs to be installed before doing exercise and finally they don't show the full code which they're running. Overall it's a presentation of IBM products and those two open source products mentioned above, with a bit of GitHub.

Very high level course. It list many tools used for data science however does not explain them in details. The course better suits the person who is experienced in data science to discover tools rather than a person who just started learning the data science. Lots of information is irrelevant, strongly promoted IBM products, the Week 3 of the course consist of poorly put together presentations recorded by different people

Extremely poor. First few hours cover nothing beyond the name of a number of products and historical facts. Unable to continue through the course as the required IBM Cloud account that I set up was suspended without reason by IBM, and cannot be reactivated. Cannot create another account, so cannot continue the course. Luckily this occured within the trial period before payment, however this is completely unacceptable.

The low rating is due to the AI-generated voice used in the course. It's hard to stay focused and listen to the monotonous tone, which lacks the emphasis and expression a human voice would bring, making the course more engaging and memorable. I’d prefer reading a book or taking a course with a human narrator over spending time on this. Although the material is current, the AI voice makes it difficult to concentrate.

I was really eager to start this program and make it through, however, none of the links work as demonstrated in the video ; to use watson I needed to get an IBM account which requires 'fort knox' style ID verification which never worked. I spoke to IBM customer services about this and they stipulated that my course instructor should have given me a code to get this set up. I am really disappointed.

This course was a big disappointment. this professional certificate is supposed to be for beginners with no prior knowledge. You keep explaining very advanced features and services like ssps modeler which I think something related to neural networks and for me as a Bonner I don't know anything about it. unfortunately this course makes a learner who is excited to learn frustrated and lost

This course was awful, just a bunch of useless speeches, limited or no information about the workbenches, explaining only how to save a file or how to upload a file - maybe 5-6 times I have heard instruction about saving your work. Who does not recognise save icon nowadays? Who needs these instructions? Only coding so far lear, 1 + 1 equal to 2.... Course 2 was just a waste of time.

It seems it is second course in sequence. It was strange why all products were introduced at this stage which did not make sense. Without having understaning of ML,AI directly pipeline, drifting etc were discussed when dicussing IBM products. If it had to be then in course sequence as second course it was not right. Rather after 70% of total 10 courses specialization..

One big course full of clickbait and needless and useless cloud services requiring you to give out information. There is not a single thing to learn about data science in this course. I've spent the last 2 hours jumping through the hoops of the companies endorsed in the course and so far I'm getting errors left and right, preventing me from completing this course.

This course is really disappointing. This was supposed to be a beginner level but it is not actually. Someone has to have a clear knowledge about Python, RStudio, machine learning, AI etc beforehead to actually understand this course. I continued for 2 weeks the gave up because it is not worth it!

Really did not expect this from platform like coursera and IBM.

Outdated videos the IDE of watson cloud and studio is completely different wasted a lot of unnecessary time on trying to figure out what to do. I felt a little cheated like "here is a course we did try to figure it out" I think it is disrespectful to put a course like this out to students. at least update the videos you are a respectable company.

It is a poor course as not all of us are going to have the luxury of working on IBM Watson or even SPSS in academia or even in some medium sized companies. The course lacks any kind of mathematical or even programming rigour. All IBM related stuff should be optional. I liked the github part though. More time could have been spend on that..