Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.
To the contrast of other reviews, I find the content very well bifurcated and fed to the learners. The course very easily digestable and I have had a great amount of fun learning it.. Go for it!!!!
By Ignacio M R•
Some times it can be a bit difficult to folllow all the stuff related with IBM watson studyo or the anline lab
By Nicole W•
The section on Watson Studio had outdated content and was hard to follow
By Vinit K S•
Please update the videos, with new IBM Watson Studio interface examples.
By Akhil K•
By Alex S•
The teachers were smart and funny, and I enjoyed trying out the tools (some new to me, others not). These people clearly knew their stuff and I got the impression they wanted everyone taking the course to know and use it as well.
The tests and labs were really lacking though. The tests simply required looking for verbatim quotes in the material and the labs were, somehow, both confusing and hand-holding. Baffling to me.
By Paul M•
Needs some updates to match new formats for IBM Watson Studio. Also, this course skipped over basic code theory and functions, and tried to overcome that by just describing buttonology needed to make the programs operate. Not even close to good enough.
By Abdelkareem H•
The course was overall OK. Several lessons were either too advanced and required previous knowledge about the subject or the audio was terrible. Nonetheless, one learns a few things in this course. But definitely not one of the best.
By Rona S•
Useful overview of tools. Following the tutorials was frustrating as the demonstrations did not match what is now available. Got there with a fair amount of frustration and swearing! The assignment was fun though.
By Dmytro P•
courseware is outdated, I was having issues understanding how to create project in IBM Watson, while video explains how to do it in IBM data science experience.
By samantha d•
Too much information thrown at you with little context. The final project didn't seem to have a lot to do with the information that we learned in the course.
By Daniela P•
The course in watson studios contains videos the were too outdated and didn't really help understand how to use the platform as it is nowadays.
By Diana T•
Some of the Watson Studio videos are confusing because they are recorded on the previous version and they don't match anymore.
By Keyun R•
The material seems out of dated and it takes a lot of effort to try to find a region that finally accepts registration.
By Declan C•
Videos and instructions do not sync with new IBM Watson Studio.
By Eshita G•
Very technical, difficult to follow properly
By John G•
Poorly designed course.
Week 1: While the first section was ok, after the section on “Data Science Tools”, it was more or less just a list of tools for data science. I have 5 pages of notes that are mostly useless. The only reason I wrote so much was that the quizzes often asked about such useless details, that I learned to write more than I usually would. Whoever designed the course/tests obviously has no real teaching experience. In addition, do not expect any feedback from the quizzes. There is no attempt to help the learner learn from wrong answers.
The quality of most of the “instruction” was poor. The woman reading the script often did not logically pause when a slide was changed or more information was added to the slide, as if she didn’t know what was on them. For most of it, it was just a PowerPoint presentation. For IBM being so advanced with technology, it seems for most of the teaching they simply used 20-year-old technology to demonstrate some of the most advanced technology that currently exists. ☹ At least they could have used a split screen to show a person AND text/screen shots.
Week 2: Better information. Same woman reading slides…who is not convincing that she actually understood what she was actually reading. However, the information was more useful and the tools introduced were better. Now I’m registered on some sites and we’ll see how useful that is.
Week 3: A big mix. Again lots of tools. Different people speaking, but again they are just PowerPoint slides with no interaction with people (unlike in the first course in the program). When there are screen captures, sometimes they just jump and it is difficult to follow as they are quite quick. Often the screen shots don’t have high enough resolution, so many of the tabs in the programs are either difficult or impossible to read, or they don’t capture the whole screen, so it’s pretty useless as we can’t really follow how it gets from one place to another.
Sometimes poor English pronunciation. Why doesn’t the person who actually create the presentations/work with the programs actually do the speaking?
Week 4: Labs are useful and it’s great that there was some kind of output. Unfortunately, many of the things that you have to do are not actually taught in the course and you have to use other sources to find out how to do things.
By Reed M•
Not a very good course at all. Part of it is dedicated to memorizing the names of a bunch of data science tools for tasks that are defined in one or two sentences. Much of the rest is dedicated to basic-to-the-point-of-triviality "Hello world" style tutorials for Jupyter Notebooks, RStudio, and IBM Watson Studio. Speaking of the latter, there's a disproportionate emphasis on IBM products - a bunch of advertising that IBM will help your data science workflow, directed towards learners who have never experienced that workflow at all. Even as advertising, it's bad advertising. And how is it that we've gone through two courses and still haven't learned anything of substance about programming or math? I learned a few new bits and pieces of Markdown from the final project, but that's about all I'll retain from this course.
This course convinced me to jump ship from the IBM data science professional certificate path. It's possible that things get better later on, in the courses with actual substance, but I'm not going to bet $40+ on that possibility.
By Edo v d Z•
Very meager overview of tools. No explanation of what you are doing, videos are outdated, no explanation of the differences between the tools (when do you choose which tools), system was down for a long time, links are not working correctly. It looks as if this module was made years ago and then systems developed but the course was never updated. Course leaders is not working anymore for IBM already for more than a year. IBM you can do better!
By Josep R C•
Some information is not updated and a huge amount of time is lost in trying to figure out how to do simple things just because of the platform they are telling you to use. However, you can find useful information in the forums as all students have similar problems. I would just recommend this course to users who do not know tools such as Jupyter notebooks already.
By Kathryn D•
The second week of this course is so confusing and difficult to follow I almost dropped it. The third and fourth week were much better organized. The second week should be deleted from this course, it was not helpful at all.
By T C B T•
A clear explanation of every tool required. Too advanced for beginners in data science.
By Hellman O•
These materials should be updated to the current Watson work environment
the videos about Watson lab are out of date.
By Robert H•
A real disappointment, one of the worst courses. I don't believe IBM has released anything like that.
week 1 - introduction to Python, R and SQL are pretty good and interesting; second part is about other data science tools which is just a confusing list of tens of different programs without any further information thus you will hardly remember anything; the last part is a strange mix of technical details again with hardly any benefit and confusing for people without IT background
week 2 - here comes the best :-(
no clear structure; totally ignores the skills of learners
does not introduce the basic concepts but dives into technical details like a command shell
presenter uses tools that have never been introduced (Anaconda)
video is cropped so that you do not see which menu is clicked at the top
you are asked to use tools but no info about how to launch them
included scripts run into partial errors - there is no explanation in the videos whether it is OK or NOK
videos are recorded in a car as if this were a FaceBook motivation video, with the appropriate noise of cars in the background
quizzes asking questions that will be discussed far later (if at all)
presenter asking you for giving starts on GitHub for his terrific work :-)
hands-on lab is just like “copy this looong script and it will draw a map” - uff - and what does it give the student...
Sum up - week 2 is a total waste of time. You can learn this anywhere else and much faster. This part just disgraces IBM.
week 3 - well structured and interesting, if you accept that it is mainly promotion of IBMs products; and not much information is included; when there is something interesting (data refinery) it is so fast and misses further explanation, so that you will be lost again; btw - subtitles not matching the video :-(
Sum up - shame on IBM
By Hakki K•
I completed entire program and received the Professional Certificate. On the Coursera link of my certificate "3 weeks of study, 2-3 hours/week average per course" is written. This information is not correct at all, it takes approximately 3 times of that time on average! I informed Coursera about it but no correction was made. It should be corrected with "it takes approximately 19 hours study per course" or "Approx. 10 months to complete Suggested 4 hours/week for the Professional Certificate".
Here is the approximate duration for each course can be found one by one clicking the webpages of the courses in the professional certificate webpage: (*)
Course 1: approximately 9 hours to complete
Course 2: approximately 16 hours to complete
Course 3: approximately 9 hours to complete
Course 4: approximately 22 hours to complete
Course 5: approximately 14 hours to complete
Course 6: approximately 16 hours to complete
Course 7: approximately 16 hours to complete
Course 8: approximately 20 hours to complete
Course 9: approximately 47 hours to complete
This makes in total approximately 169 hours to complete the Professional Certificate. As there are 9 courses, each course takes approximately 19 hours (=169/9) to complete.