Tools for Data Science

Then when you are finally signed up, the video tutorial isn't relevant because it's not the latest version of IBM Watson Studio being discussed.

This is a good course, but they really need to update the screen shots to be up to date with IBM Watson Studio.

The IBM Watson Studio presented some issues but they were solved in less than 24 hours by the IBM Engineers.

IBM Watson related content needs to be updated and be more comprehensive Awesome course and well designed curriculum for beginners!

Not updated Videos are outdated compared to programs excellent course and very clearly explained This REALLY needs to be updated for IBM Watson studio, the tools are completely different than what are in the video The screenshots are outdated.

I've subtracted one star since the videos, especially in week 3, were not in synch with the online tools (IBM Watson Studio).

This course help me to understand and used to all the necessary tools which are required in data science I still find the course needs an upgrade informative It was nice to learn about the IBM cloud tools available, including IBM Watson Studio.

It gives good exposure to Jupyter and Zeppelin notebooks, as well as IBM Watson Studio.

good i had some troubles but i found out the way Excelente curso para tener una visión general de las herramientas en Data Science IBM Watson videos were a bit outdated The other courses I took are too easy sofar for me.

Especially the IBM Watson Studio section is something which needs to be worked on again.

I would have rated 5 stars although, IBM Watson Studio (Data Science Experience) was outdated and some had issues according to the forum.

It supposedly introduces the IBM Watson Studio but ALL the videos are outdated and do not reflect the platform currently on IBM's website.

perfect Haaa heavy Great course to experience different data science softwares virtually The overall content was fine; however, the videos were sadly out of date and it was very difficult to set up an account and create a Jupyter notebook following the directions.

Trying to create a Jupyter notebook in IBM Watson for two days now as asked by the final assignment.

It needs to be more challenging but happy to be introduced to various helpful tools nonetheless The course gives an introduction to the Data Science tools , namely Watson Studio, Zeppelin & Jupyter Notebooks.

This course is really good and give basic ideas about various data science tools viz Jupyter notebook, zeppelin, R Studio IDE, IBM Watson Studio etc., great introduction!

The end-of-course project was 10x easier than figuring out how to set up a Jupyter Notebook in IBM Watson Studio.

Good intro to Apache Zeppelin and Jupyter Notebooks!

That was just confusing and it felt like there were large chunks of explanations missing for people with no programming background It's excited to know another text editor but jupyter notebook, thank you It is very cool source.

Outdated Information great to see how the IDE's work I had Jupyter Notebook installed on my laptop for months.

Difficult to follow as the Jupyter Notebooks have been deprecated.

Why not just write with a Jupyter notebook from your own web browser I wish there were more labs and more elaboration as to how to connect these tools to daily activities or useful things to broaden understanding.

The hands on labs they were informative and just perfect for introduction purposes Beautifully explained the working of the Jupyter Notebook, RStudio, IBM Watson, Zeppelin.

At the last, we have to write a Jupyter notebook and share it with our peers.

This course of Open source tools for data science was very helpful in knowing about the tools and technologies which are used in data science techniques.

Very good A good overview of open source tools for Wonderful Videos are bit out of date so could be sometimes tricky to find the needed instructions!

Great course, I learned a lot about Open Source tools for Data Science!

very easy to follow Good introduction to Open Source tools for data science, including: Jupyter, Zeppelin and RStudio IDE.

Also I had to wait for peer review since I could not find other candidates who have completed the course with me...Recommended for beginner level A great course with lots of useful information and knowledge about open source tools for data science.

Great course to know about open source tools for Data Science!!

Comprehensive but student-friendly introduction to common and popular open source tools for DS.

Great Course introducing us to these tools A good introduction about open source tools for Data Science.

Excellent overview on using IBM Watson data platform and various open source tools for data science.

Great Great Introduction to open source tools for data science.

Good teaching of Open Source tools for Data Science Keep it up...

Good starting point for data science This course introduces the learner to the open source tools for Data Science in a very efficient manner.

very valuable material The IBM Data Science Experience videos need updating since its now IBM Watson.

Last part is a bit out of date after IBM changed the interface of IBM Data Science Experience.

Manque des tests en images pas à pas Amazing learning experience This course was just Amazing it gave me a quick tour about how to use IBM data science Experience and its notebooks It good and give us Basic Knowledge where to start IBM cloud tool and DSX related setup is not clear Not a bad course if the student is brand new to data science / computer science / programming.

They show IBM Data Science Experience (former ediiton of IBM Watson) and because the interface is not looking the same, tracking the steps is difficult.

Thanks for this class, I learn a lot about "Skills Network Labs" and " IBM Data Science Experience".

Good it has to be updated Good course, but the videos should be updated, for example, it shows IBM Data Science Experience when the name changed to IBM Watson Studio.

On the other hand, I hope the parts mentioning IBM Data Science Experience are updated to mention IBM Watson Studio, because it did get a bit confusing in certain parts of the course.

The "IBM data science experience" has been changed now to "IBM Watson Studio".

IBM Watson Studio, the platform where you are supposed to do the final assignment, doesn't work properly and nobody cares.

the material isn't update as the ibm labs and the individuals need extra time and efford to do the final assignment It's too useful step towards my career Thank you very much for the excellent presentation of the material and the available intellectual tasks.

The instruction for the final assignment is totally outdated, it was a terrible experience.

course's final assignment should be little bit harder Good short introduction to using notebooks across various data science platforms.

The course primarily shows the UIs of the tools and its scope/what it supports and very little about open source tools as such the demo tool version was not the same we used for doing final assignment outdated.

However I was incorrectly graded in the final assignment hence weighing down my aggregate score.

In the first week or two, you use one service, then in the middle weeks use a different one, but in the final assignment, you're using a service that you signed up for in the beginning.

It's really annoying bc the final assignment was required to use the IBM platform.

Good introduction of open resources, though some contents are outdated and caused some unnecessary waste of time great course, hands on practice with tools in DS Good one to start hands on I have stopped going though the IBM specialization after this course - this review is for beginners (like me), who have no coding/programming background.

Course 2 was just a waste of time.

It was complete waste of time Course had a lot of content, that was great, but lessons and instructions did not match the software from IBM to be used.

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.

waste of time with no added value.

This course is a waste of time and slows people down, that are interested in learning about Data Science.

While the contents can be somewhat useful, the course itself is a complete waste of time and money Had problems with creating notebook on IBM watson studio and got no expert help.

Cuesta trabajo el ejercicio porque no esta cual como indica el ejercicio Nice videos with hands on availability using Skills network labs Gets you ready for data science tools This is a waste of time.The course introduces various tools for data science.

This course is structured well, easy to understand instructions along with step by step guidance.

Adequate time and information (particularly step by step with screenshots for setup of notebook etc.)

It's not just listing of tools but step by step application which makes me more confident-I know exactly where to fetch each tool I need in a Data Science Project.

great learnings its generic course knowlwdge, and face challanges to open and creare Whatson Studio projects as well to open link with my assestments The learning has been broken down step by step.

An interactive course that gives resourceful insights to the tools available online for data science The tools and website is sometimes hard to connect, and has maintenance/update very often and it made it extra difficult for us new comers to follow up without step by step guide to the new features, which prolonged the course and it wasn't very necessary.But I did learn a lot from this course hopefully the tools and guides get better for the future students.

Still at very beginners level, but step by step..

This course is basically trying to promote IBM products without any notable skills learned Excellent course to get hands on experience on open source tools available for data scientists.

This was a really intuitive course with hands on experience on Jupyter Notebooks, Rstudio, Python 3.It turns out to be the more I'll practice the more I'll learn and this course really turned out to be helpful as a stepping stone towards it.

Intro to tools are good but it's just Intro not even one small project to get hands on experience.

Informative and hands on experience on tools lts a great course to introduce those IBM open source tools for Data Science.

I want to learn some really skills and theory, not how to sign up for a IBM account, which is so complicated, almost took me half hour to figure out how to sign up this account.

The Watson Studio needs to be updated to reflect the current sign up process, however.

The videos will make you sign up with lots of IBM services and won't teach you anything about it.

best one IBM Watson Studio sign up video should be updated accordingly with the updates elementos visuales desactualizados Excellent class for beginners that is well taught.

You HAVE to sign up for IBM's cloud service and use a clunky tool there, and on top of that the videos are so out of date that the UI has completely changed.

A little too easy (only took an hour or two) and navigating IBM's Watson is confusing at times.

Nice overview of different data science tools, though at times it can feel like an advertisement for IBM's cloud platform.

At times, for examples, during the setup phase for the tools, I felt stuck and the fact there was no one around to answer questions made it more challenging.

The IBM resources on the cloud that are used for this course are fantastic, although they are slow to load at times or confusing to navigate.

The IBM cloud advertisements make it feel more like a product endorsement than a real course, at times.

I found myself lost at times, as the current version of Watson does not match the version shown in the lectures.

This area is going to require some extra work on the students' part to get familiar with the tools but is a great lead-in.

A great material to get familiar with Watson studio, which combine many kinds of languages.

There were two main negatives to the course: 1) The videos and readings for IBM Watson Studio need some serious updating - once the account was created it was very trial and error to create a notebook.

However, education materials in videos are not updated so it makes difficult to find out where to an account create a notebook.