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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,112 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

DE

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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2726 - 2750 of 4,751 Reviews for Tools for Data Science

By Kruthika E

Feb 14, 2021

While the general presentations were really good and had wonderful graphics, the explanations on other IBM tools were bit rushed and slightly overwhelming with its information.

By Antony B

Nov 10, 2019

I would give 5 stars if the material would have been updated and would present screenshots of IBM Watson Studio instead of the previous version which has a different interface.

By Edwin E

Sep 28, 2022

This course is a very nice course especially for those who have no idea about what data science is. The course has piqued my interest and deepened my desire for data science.

By Pedro V

Dec 8, 2019

It's very complete, give you a nice notion of the tools for data science. The problem is that the video is not updated to the websites so it gets a little confusing sometimes.

By Shubham S

Aug 21, 2021

Overall well structured course but certain advanced ML features of Watson studio were demoed in the course without explaining the basics of Neural networks or decision trees

By Amy F

Sep 20, 2022

Great overview of the myriad tools used in data analytics and data science. But it also seemed like an infomercial for IBM products and services, which is a little sketchy

By Gerrit S L

Jun 30, 2019

A lot of the questions during the 'final check' are based on the content of the video and not on the general knowledge has about the topics that are described in the video.

By Konnor S B

Dec 30, 2019

It did seem like some of the videos needed to be updated. There was some struggle to follow along with, but with a little exploring I was able to find everything I needed.

By Bryant S

Dec 31, 2018

This course was straight forward. The correction to the course, would be based on its latency. It really needs an update to the content connections to IBM watson studio.

By Lalit K

Jul 30, 2022

good introduction to the tools that a data scientist needs . But a bit promotional too. Great if you want to get good knowledge about the tools to be used in datascience

By Jeng W T

Sep 21, 2020

I think it was a good introduction, although some content seem slightly out of place. It might be better to introduce the IBM tools at a later part of this certification.

By Fernando D

Jul 31, 2020

In general, the content is relevant, but some videos have audio problems and some topics (Git for example), are not well explained for someone who is new to the subject.

By Alex M

Aug 29, 2018

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delivery, it's a shame one section of this course seemed outdated in reference to the materials it was pointing to (when I took it).

which made catching

By Long N K H

May 26, 2020

This awesome course helps me to discover many data science tools. Its content fits for all attendants, including fans of open source tools, to employees of enterprises

By Muhammad Y

Nov 23, 2019

Course Is Fantastic for beginners .But those who are expert in any one tool like jupyter notebook or any other its little confusing but course try to deliver its best

By Nava B ( व

Feb 12, 2019

This is a very good introductory level course to know about various open source tools for data science. It gives idea about R, Python, Jupyter Notebook, Zeppelin etc

By Carolina G F d C

Aug 12, 2020

This part of the course is interesting and I did learn how to use some new tools, but for most of it, it was almost a sales pitch. Saying that, I do love IBM Watson.

By Wirach L (

May 11, 2020

Overall is good, but in the last module which require student to participate in IBM watson studio have a lot of problem such as notebook creation on watson platform

By Greg G

May 25, 2019

I particularly liked the chance to practice with the online tools. The only caveat was that I missed some of the unstructured "work with your own data" exploration.

By Mahesh B

Dec 9, 2018

Course content needs to be updated in case of IBM Watson, there's so much buzz about it. Video tutorials are absolutely inconsistent with the actual UI of the tool.

By Jason A O

Apr 29, 2020

Week three videos need to be updated, Enjoying the content, but the use of the old videos made the last lesson or two harder to follow than was strictly necessary.

By Joseph Z

Jan 5, 2020

An interesting introduction. Some materials are slightly out of date, so know you might have to dig around in the IBM webGUI, but very well laid out none-the-less

By Eduardo R T

Aug 7, 2019

It gives an awesom idea of what kind of tools can a Junior Data Scientist use, in order to learn about it. Nevertheless, some of the chapters are a few repetitive.

By Oladimeji U

Jul 26, 2023

Most of the modules were very great. I would have loved to see those question prompts but there were none. It wasn't easy keeping a steady attention to all videos

By Erick S P S

Feb 10, 2020

It would be helpful to have some extra videos explaining to explain more in detail functions in each of the programs. Apart from that, the content is quite good!