Apr 25, 2019
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!!!!
Jun 30, 2019
This course is very nice to understand Python, Zappelin and R Studio basics on code and concepts, in which you will get hands on along with creating a free IBM Cloud and Watson Studio account.
by Hakki K•
Jul 09, 2020
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.
by Cédric M G•
Aug 15, 2020
This course is an absolute catastrophe and I look forward to moving on to the next one.
The first 2 weeks are a giant collection of endless software lists. Rather, I would have liked to see a disciplined presentation of the data science process itself (aka Course 3 of the certificate) and then only the softwares. The only useful piece is the chart presenting the steps of the data process. The rest is purely inadequate at this stage, I am sorry.
The course jumps back and forth from the very easy/trivial to the downright specific/complicated without any inbetween. Why mention Kubernetes, gateways, runtimes, PMML and other endless jargon when people don't have a clue where these fit in the bigger picture ? Instead of presenting 68 different softwares and acronyms, I believe it would be more valuable to present Jupyter Notebooks properly, from scratch and focusing on its foundational features. That would be 2-3 hours well invested.
One last note: the "Free Python 3.6" environment (using zero machine unit) is not available anymore. I had to create a separate environment manually, with 1 CPU and 4Gb RAM (using 0.5 u/hour) as a second best alternative.
by Aarushi S•
Mar 23, 2020
I appreciate the efforts that were put together in the course, and I have had very good experience with IBM courses in the past. However, was a bit disappointed with this one. The videos for IBM Watson Lab were outdated, which resulted in a lot of wastage of time to submit the final assignment*. Also, it does not make sense for students to compulsory learn IBM software and use it for assignments. Basically had to learn an extra software which we did not even sign up for. As part of IBM professional certificate, I think it was a bit redundant and can easily be made part of a Python beginner or Data Science beginner course.
*Faculty were helpful to point this out and point a step by step procedure for the updated version. But this was in the discussion section, and also immediately makes having watched the videos completely futile.
Dec 28, 2019
HORRIBLE course. Outdated and boring tutorial videos where you learn nothing except to know the existence of IBM tools that I suppose IBM is trying to promote through this course. The videos were made in 2016 and are completely outdated so you can't follow any of the instructions. The tools themselves are extremely buggy: out of 10 clicks, 6 will end up in an error message. They are not intuitive either. There's no way those tools are used in professional environments.
The 5 stars reviews must be fake reviews from IBM staff. There is no way any genuine student would give 5 stars to such a crappy course.
Look at the forums' comments and complaints before paying for this.
Really shocked that Coursera allowed such bad courses on its platform.
by Derek A•
Apr 17, 2019
I don't think this course is any good at all. It crams all the different workstations at you giving you tasks to do in each one. Without actually building projects or seriously using these workstations, by the time you need to use them for a project the retention on how do navigate and use them are going to be low. I have totally forgotten how to use RStudio and what Spark is and I am on course 5 of the IBM cert because it hasn't been used since this course. I believe in a stand-a-lone when I need to refresh, this will be good to go back to but seems kind of pointless in the beginning of the Data Science IBM cert.
by Maciej M•
Jun 25, 2019
The only objective of this course is to push IBM Cloud and Watson Studio on the learners. The software is highly dysfunctional and user unfriendly. I can't submit my assignment due to unclear instructions and errors that come up when I try to do so. This is so far the worst part of this whole course. I have found a forum link with some troubleshooting which I have fruitlessly searched for an answer, maybe somebody will find something there: https://www.coursera.org/learn/open-source-tools-for-data-science/peer/xakrA/create-and-share-your-jupyter-notebook/discussions/threads/G7ITBorwEem4khKVBn768g
by Andrew C•
Jul 01, 2020
I regret the low review, but this course needs A LOT of work. Instruction is poorly formatted and (seemingly) lazily and sporadically delivered. This is supposed to be a beginner level course with no prerequisites, however, I wonder if newcomers to the course (and this cert overall) should be equipped with some other courses or specializations/certificates before entering this one. Thank you nonetheless for your effort, and I hope you can improve your material in the future after the chaos of the pandemic (and all the pressure it has most surely placed on you) has subsided.
by Karen N•
Apr 23, 2020
I enjoyed the hands-on lab work. Unfortunately, the instructions given in writing and in the videos are outdated regarding IBM Watson Studio, and this led to a lot of frustration and wasted time trying to click around and search for the correct instructions on my own. There were also many typos in one of the written lessons, and the quizzes didn't always match the material addressed corresponding lesson (or, in one case, the quiz question popped up before the topic was addressed in the video). While I'm grateful for the lab work, this was not a good educational experience.
by Lauren J•
Apr 01, 2019
I do not recommend this course; however, as it's part of the Data Science Certificate it's unavoidable. The course is basically an introduction to an IBM online software that lets you use R, Python, etc. without having to download them. That's fine, but it could realistically be done in about five minutes instead of the two hours the course takes to complete. My advice is either don't take this class if you aren't going for the Certificate, or go through it as fast as possible if you are going for the Certificate. This course was a waste of time.
by Yuanpeng Z•
May 29, 2020
I hate to give this comment. Poor quality videos and study material. Not simply it misstated the fact that this is a Beginner course, there is also lack of effort in each of the videos made, making beginner very difficult to follow due to frequent switch of screens, making corrections in the video... The Reading/Lab section is also not helpful in terms of giving clear instructions. I only understood 10% of the materials from this course and learned everything else by myself on Youtube and other sources. The videos definitely need to be remade.
by Samer A•
May 09, 2019
This course is a huge disappointment. It is more of a promo of IBM Watson Studio than an actual class. It would be much more useful to make a course about the Anaconda framework, which is a useful desktop framework that I believe many data scientists actually use.
The Watson Studio does not seem to be that good either. It is not exactly intuitive and it takes some getting used to before you can navigate through it. The instruction videos and pictures in the lectures do not help much since they are out of date. It is slow too.
by VALERIE B•
Aug 07, 2020
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.
by Lawrence L•
Jul 17, 2019
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.
by Ngana A•
Jun 09, 2019
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.
by Raphael G•
Jan 23, 2020
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.
by SUYASH G•
Mar 15, 2020
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!!
by AJ J•
May 12, 2020
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!
by Sean T•
Apr 30, 2020
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.
by Sabir Ə•
Jan 29, 2020
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.
by Ege O•
Sep 12, 2018
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.
by Afia I•
Jun 10, 2020
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.
by Deleted A•
Dec 20, 2019
The course should be improved, as all resources that it references to were significantly changed. At the moment I do not see any benefits of continuing the whole IBM Data Science set of courses, as I anticipate that the next 7 courses are at the same "not up to date" level. It's sad as I have to search for better knowledge sources.
by Matt D•
Jun 23, 2020
This is not a beginner course. At all. The instructions skip over multiple steps to the point where you have look up half of everything yourself. Which is not why I paid for this course.
To be clear, this has been an issue in both of the IBM's Data Science Professional courses I've begun. DON'T WASTE YOUR MONEY IF YOU'RE A BEGINNER
by Tahshin M•
Nov 24, 2019
Absolute waste of money and time. The videos are outdated and can not be followed. The quizzes are totally irrelevant. The videos will make you sign up with lots of IBM services and won't teach you anything about it. Totally frustrating experience and it was the worst "course" I've ever experienced in my life. Wouldnt recommend.
by Yashvardhan R•
May 15, 2019
The course felt poorly structured. Quizes ask questions that have not been covered yet. Have had to use a lot of secondary resources, googling, to understand terms. The videos would reference tabs that didn't actually exist in the jupyter workbooks. All in all a rather unsatisfactory experience compared to the first course.