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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,168 ratings

About the Course

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. 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. Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Top reviews

ED

Aug 14, 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

MO

Apr 17, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

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2526 - 2550 of 4,596 Reviews for Tools for Data Science

By Miguel A

Mar 23, 2023

Very good course, if you are hoping to use the IBM set tools, but stills it gives you a perspective of whtat to expect whereas using this kind of tools, although you need to know a little bit of programmig to fully aptreciate it,

By Amarpreet D

Jul 7, 2021

There is a lot to learn here, and some parts of it are very information dense. I am just very glad that we are able to study this at our own pace.

Overall, I am happy with this course and look forward to the starting the next one!

By Alexandru S

Apr 11, 2019

An informative course, which shows some of the basics for Python, R Studio and more.

BUT, the week 3 videos are a disaster, as the change to Watson Studio has not be reflected in the current videos, generating lots of frustration.

By Marcello S

Aug 21, 2019

Nice and good course. The only thing taht could be better is the alignment of the video's of Data Experience of IBM with the current IBM Watson environment. There are some major differences. But nevertheless very good training.

By Luyi L

Dec 19, 2021

This course has really high quality. I gained a sense of what data scientists use in their daily life. But it is a little confusing when knowing about a lot of tools for the first time. It takes time to get familiar with them.

By Pedro P

Jun 10, 2020

Some parts of this course could be better organized to help learners. For example, the GitHub exercise in terminal should have previous concepts about using terminal in Linux, like how to create a directory or how to navigate.

By Damon L

Feb 16, 2021

Useful course with programs I wasn't familiar with. Class was laid out nicely for me to follow along and pass the assignments. Some of the interface was a little outdated compared to the slide show. Other than that well done.

By Marnilo C

Apr 24, 2019

I found it to be a bit confusing when the course materials for older versions of the tools were used to teach the current versions of the tools. There were differences beyond just the name (Data Science Experience vs Watson).

By Castelnau A

Nov 2, 2020

Difficulties to finish the last two without the ability to create an account on IBM Cloud, nevertheless remains a good introduction about tools for data science (I imagine it's a excellent one if you can create the account).

By Gábor T

Mar 9, 2020

Useful course to learn the basics, but some upgrade would be great. Some videos are old and the user interface of the platforms has changed. That makes following the videos complicated and the learning process less enjoying.

By JAVIER A R C

Jan 12, 2022

This course covers the most useful and relevant tools and libraries for Data Science, helping newcomers to learn fast and well guided. However, the trial that IBM offers at the end of its 3rd Section is no longer available.

By Rekha S

Feb 13, 2021

It was a challenging course with some heavy usage of terminology. It took a little while to get my feet wet but the Lab sessions and reviewing content/videos helped and I was able to complete all my assignments succesfully.

By Nícolas A d C M

Jan 23, 2019

As I am used to emacs as my go-to software for programming, given it's intense extensibility, I will keep using it instead of the other tools.

In any way, it was great to know more tools oriented torwards group programming.

By Mohd S B S H

Nov 1, 2021

Some of the IBM tool videos (Data Refinery in particular) is kind of hard to follow, it was like jumping into the deep end of the pool. Could've been better is it was a bit slower and had a lab session to go along with it.

By Tanmay A

Apr 7, 2020

I think the course was good overall giving the gist of various popular open source platforms available for Data Science. The only thing which disappointed me was that the course was not updated from a long period of time.

By Aimen M

Feb 3, 2020

The course was amazing, I was more than happy to find out that there are easy ways to perform the tasks of data science in environments that are ready and perfect and I'll definitely use them.

Thanks a loT Coursera and IBM

By Dotun O

Mar 7, 2023

At some point, I felt somewhat frustrated trying to open a Watson Studio account. Unfortunately, I couldn't with my debit cards but skipped the huddle using open-source tools like Jupyter. The experience is bitter-sweet.

By Amit K

May 14, 2020

Amazing experience with this course learn new tools like IPYTHON, Ibm watson , all these tools are very well explained by tutor.But the think i dont liked is this is python course so why you add Rstudio in this course.

By Vanessa Z

May 21, 2019

Good course, but the videos should be updated, for example, it shows IBM Data Science Experience when the name changed to IBM Watson Studio. Some links changed position in the screen and I lost time trying to find them.

By Ravi S

Mar 25, 2020

Every thing is excellent just some videos are outdated like in week 2 there is skill lab in which there is no RStudio in march 2020 but videos shows to complete Rstudio practical. except this this is very good course.

By Sachin S

Jun 10, 2020

The course is nicely packed. The point i would like to highlight is the 'other Tools part'. The concepts are ok but for a newbie it is not that upto the mark. like the SPSS , it will take time for a newbie to digest.

By Rohan B

May 15, 2019

For getting started to know tools which a Data Scientist uses ,this course is a must, gives a great start since the assignment involves working Jupyter Notebooks, R Studio , Zeppelin Notebooks and IBM Watson Studio.

By Gabriela M S M

Mar 12, 2023

Muchos videos, en algunos casos ejercicios con imágenes que no corresponden a las actualizaciones de los programas. En general, informa de herramientas muy útiles y da un panorama muy completo de las herramientas.

By Raghuram C

Nov 14, 2019

This course introduces all the tools available in the IBM Watson studio. A brief introduction to every tool is provided and there is a Hands-on exercise for each tool. Overall, a good course for absolute beginners.

By Didem A

Aug 12, 2019

Videos prepared to explain IBM Watson tool should be updated. 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.