Apr 12, 2020
It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.
Sep 15, 2020
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.
创建者 Anup S•
Nov 12, 2021
This course just promotes the tools from IBM and it also needs you to make accounts into its products and although it says, the products are free trial, they want your credit card details. Most questions in the assignments are also all about their products. I am very annoyed and disappointed by this course.
创建者 Pei-wen K•
Feb 7, 2022
The course is too dry and not contextualised, the only thing I was happy to have learnt is how to use Gibhut, that's quite hands on, however other parts are full of jargons that I am not even sure if they are relevant to me at all, and I can't remember most of them or understand how to apply them at all.
创建者 Michael L•
Dec 17, 2020
While generally content was useful, video tutorials were created using outdated tools and with not much explanation or introduction to concepts. Some video tutorials were also used with a Mac, which leads to syntax variations. Week 3 felt like I was sitting through an IBM Watson advertisement.
创建者 Johni A K•
Aug 23, 2021
Many of the videos are out of sync with the current IBM Cloud interface. Also some lessons start at a point but give no indication how to get to that same starting point.
I felt not much was gained from week 3. I learned more from IBM help docs and YouTube than from week three's materials.
创建者 Cesar M A T•
Aug 9, 2020
I understand the purpose of this course, to showcase all the different tools a data scientist needs, but since this course is offered for beginner level, the vast majority of the concepts introduced in the lections serve no purpose in educating since we don't have the expertise to grasp it.
创建者 Marco P•
Jul 26, 2020
Confusing, curriculum not designed for beginners that don't have coding experience. You can get through it, get a certificate, and learn some stuff, but be prepared to Google a lot and watch other tutorial videos in order to pass the course quizzes, because the video lectures are terrible.
创建者 Vladislav G•
Jan 20, 2020
Well, that course is not that useless as the previous one in the specilization because now at least I got to know some tools. But still, most of the course is a waste of time, as all those tools could be described and linked as a part of some module in a more difficult and hands-on course.
创建者 Islam S•
Nov 1, 2020
The course bombards you with lists of tools used for data science. Despite that an overlook is usually useful when given as an, well, overlook, the details here are boring and will definitely be forgotten quickly. Also, several videos have nothing except the VO reading the on-screen text.
创建者 John C•
Mar 25, 2019
You really need to update the video to reflect how the latest versions of the tools look. Consider whether it is really necessary to have us sign up to 2 different cloud lab environments, surely one would suffice. Both these issues cause a lot of frustration as can be seen in the forums.
创建者 Rachel G•
Jun 14, 2019
I felt a lot of the content was outdated (whether it was the names of software, or the screenshots they showed). I also didn't learn much from it, and felt it would have been more meaningful if we learned these tools in conjunction with doing more meaningful and engaging work with them.
创建者 tal h•
Jan 24, 2019
The course provides some basic knowledge of the tools and platforms for a data scientist and how to technically use them. however, a third of the course is a technical guide for the use of an older version of the watson platform. basically a big portion of the course is a waist of time.
创建者 Michael H•
Jan 24, 2020
Course had a lot of content, that was great, but lessons and instructions did not match the software from IBM to be used. This wasted hours of time and added lot of frustration.
Please course owner, update these course so students can get the full benefit without wasted frustration.
创建者 shipra s•
Jul 19, 2020
Very brief. Although it's meant to teach tools for data science but the explanations are too quick. Assignments don't really explain why we are using those commands. So many tool names to remember without any explanation and how to use them. Very dissatisfied with this course. Thanks
创建者 Hailu K•
May 23, 2021
One can learn very few out of this course. It flies across a lot of tools without letting the student to really touch on them, so one basically learns nothing. It feels more like the lecturers are showing off their knowledge of various tools but not willing to really teach anything.
创建者 Eric W•
Apr 18, 2022
If you used your Watson account for a different course and the subscription expired, it will not let you continue using the Watson account with a new free use key. A lot of the labs involve Watson on this, so the coursework was impossible to do without paying for a Watson account.
创建者 Alice L•
May 30, 2020
The videos introducing you to new tools like Jupyter and Github are SO BAD that it is basically just a man recording his own screen and rambling without a script. The video was not educational and not formal. It is worse than free Youtube videos that show you the exact same things.
创建者 Marcio A•
Sep 22, 2020
Quality of support material is not good. The amount of tools presented is overwhelming, maybe should be considered to present them gradually according to the need of application, this would help a better understanding of functionality and the reall need of the usage of such tool.
创建者 Daniel K•
Dec 10, 2020
This was too much of an infomercial. Disappointed about the content. If I would have had a drinking game, where I would have a shot for each time IBM Watson Studio was mentioned I would not have made it through even 2 videos. I hope the next module has more substance to it.
创建者 Sarvani R•
Jan 20, 2020
While the course offers a good introduction to open source tools, this course and the whole specialization track is available for free on cognitive class.. And the badge issued by cognitive class doesn't say powered by coursera. So 2 stars for charging money for a free course
创建者 Courtney M•
Apr 21, 2020
This course was okay, but it definitely needs to be updated or redone. In the first lesson, there were a lot of spelling mistakes which makes me question the accuracy of the rest of the course. I did learn about the tools though, but will need to play around more on my own.
创建者 Yoobin K•
Apr 5, 2020
The content was informative. However, the page in the lecture was not updated, and it was not easy to follow the instruction since some instructions in the practice exercise was not clear enough. It will be better to have clearer, and detailed explanation and instructions.
创建者 Gargi S•
Jun 26, 2021
This course probably needs to be later in the course series. For a beginner, it is an overdose of information and abbreviations. Also, a lot of time is spent explaining Watson studio than needed, especially for those who would rather code the analysis than use a GUI tool.
创建者 Alex C•
Sep 29, 2020
Too much focus on IBM provided software, parts of the course felt like I was training as a sales representative, with being graded on my knowledge of IBM products. Some of the questions in quiz's had 'joke answers', which is not what I'd expect from a professional course.
创建者 Jeremy H•
Jan 22, 2020
First couple weeks are interesting to see but not overly useful. Week 3 videos are horribly out dated, links are none existent or not working. Website for application doesn't appear to work half the time and it can be impossible to even complete the course in full.
创建者 Fedrizzi E•
Jan 31, 2020
Material seems outdated, and poorly informative. Too many topics are just mentioned without details, which is frustrating: I got the feeling that to have a minimal real understanding of the subject I had to do a lot of personal research outside of the course.