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Comentários e feedback de alunos de Tools for Data Science da instituição IBM

21,305 classificações
3,288 avaliações

Sobre o curso

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Melhores avaliações

15 de Set de 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.

24 de Abr de 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!!!!

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3076 — 3100 de 3,260 Avaliações para o Tools for Data Science

por Shah H

17 de Jan de 2019

Too easy

por manisangsu b

9 de Mai de 2021

The entire IBM watson studio is is a massive disaster in this course. Everything went fine till the watson studio came into picture, after that there is no learning , your precious time will be wasted to configure a broken system (which will not work in the end) and that has almost no relevance to what you have signed up for.

From there onwrarsds the videos and the content do not match and you will get completely derailed from your learning because someone wants you to use their product . This is not learning but almost shadow selling practice.

I was in for the entire course , but will now need to think if this is worth my time.

por Lauren J

1 de Abr de 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.

por Peng Z

29 de Mai de 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.

por Samer A

9 de Mai de 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.


7 de Ago de 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.

por Lawrence L

17 de Jul de 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.

por Ngana A

9 de Jun de 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.

por Raphael G

23 de Jan de 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.


15 de Mar de 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!!

por AJ J

12 de Mai de 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!

por Sean T

30 de Abr de 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.

por Mikolaj O

26 de Set de 2020

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.

por ibtihel B A

22 de Set de 2020

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

por Sabir Ə

29 de Jan de 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.

por Ege O

12 de Set de 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.

por Afia I

10 de Jun de 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.

por rezq d

10 de Mar de 2021

Jupyter notebook, Rstudio and Watson studio are probably a great software. however, the amount of technical jargon and bad presentation made me not like to work with them. please consider changing the way this course presented. it is very superficial and have no benefits.

Such a waste of time. the assignment cannot be created on Watson.

por David C

1 de Jan de 2021

The first course is a brief overview of the field. The second course (this one) does not dig into the field, but immediately jumps into countless tools of the field, in which the student doesn't even yet know for what we are using those tools. If this course were among the last of the series it would make sense, but this is useless.

por Deleted A

20 de Dez de 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.

por Matt D

23 de Jun de 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

por Ignacio D B

27 de Abr de 2021

Watson Studio is objectively bad, full of bugs and at times, it doesn't even work. To finish the final assignment a student had to create a tutorial because the resources on the ourse are not updated. Paying 40usd to access de course and being shoved such blatent publicity is enfuriating, even more when you're required to use it.

por Svyatoslav A

4 de Mar de 2021

Too basic info, and a whole host of shameless self-promotion. This course's usefulness is in 30 minutes of videos about Python, R, and SQL that give erroneous information and then followed by three weeks of discussing IBM tools. And you have to pay a subscription fee for the privilege of having a product sold to you. Disgusting.

por Tahshin M

24 de Nov de 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.

por Yashvardhan R

14 de Mai de 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.