Chevron Left
Back to Tools for Data Science

Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
29,204 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.

Filter by:

501 - 525 of 4,770 Reviews for Tools for Data Science

By Lakshminarayana D

Sep 12, 2019

Great Learning Experience in getting the knowledge on the multiple data science tools with cloud lab, Thanks to the professors.

By Harish K N

Jul 6, 2019

Great course! The only negative is that the peer-reviewed assignments take more time and it might delay your course completion.

By Aditya C

Mar 22, 2019

The course is a good starting point to the various tools present and does a good job at making the course taker ease into them.

By Reinel L G U

Aug 22, 2024

Estuvo intenso, pero aprendi muchisimo de todo el ecosistema de software que hay para trabajar Ciencia datos y otras técnicas.

By Abhishek P G

Jul 4, 2020

I like the way we got involved into practice by setting goals which are a bit challenging yet we want to achieve successfully.

By Ben S

Jun 7, 2020

Very easy introduction into data science concepts and tools. Video production and materials are top-notch and easy to digest.

By Nickolas A

Jan 22, 2020

Good introduction to the tools I will be using throughout the course framework. Explanations well laid out and easy to follow.

By Michel M d S

Jan 19, 2020

Although there are some outdated content, the course provides valuable insights ant it's actually worthy the time spent on it.

By Abhinav K

Nov 11, 2019

Good number of open source tools have been given by the course. Hope we get to make use of some of the tools in future course.

By rivelino m j

Aug 10, 2020

It is challenging for me, because I do not know nothing about programming. despite of that, I am enjoying and learning a lot.

By Christopher O

Apr 28, 2023

The instructors of this course did a very great job putting all this together. A great thumbs up I really enjoyed the course

By Matt M

Jan 24, 2020

Course is a little out-dated, but still manageable. Would like to see an update to what is actually active on the webpages.

By Ankita S

Aug 18, 2019

It is one of the best training I have ever accomplished . Each and every module is beautifully designed . Love you Coursera.

By Sarah D

Aug 6, 2019

Thanks. This was helpful for beginners - but the content Is not up to date. It references an older version of Watson Studio.

By Winnie

Jun 11, 2019

Have access to Jupyter Notebooks, Zeppelin notebooks, and RStudio using IBM's website. Have a basic understanding of coding.

By Christi D

May 17, 2019

Course was good and explained in detail the difference in the older system and new system which made it easier to work with.

By Ahmed C

May 10, 2023

Best course ever seen provided by IBM, it covers different libraries and tools used in the data science fields.

Thanks a lot

By Praveen V

Sep 14, 2019

Good but the content was a little outdated. It would be better if it was updated to Watson studio instead or of the old one

By Sivachandra V

Jan 17, 2019

A Good start for a fresher in Data Science in terms of getting a hands on R studio and Python in the IBM Cloud environment.

By Nurbek D

Oct 21, 2018

A great course with lots of useful information and knowledge about open source tools for data science. Highly recommend it.

By Muhammad A

Jan 16, 2024

This course is really helpful if you are looking to learn about the basic tools which are commonly used by Data Scientists

By Harshit B

Jul 8, 2022

This course is very good for those who are new to data science as it gives information about all tools used in this field.

By Abdullah N K

Jul 25, 2021

Got to learn many new things in the field of Data Science which will be the next boom in the market in the upcoming yers.

By Lutz W

Feb 7, 2021

Getting an overview of all the tools available is very handy for dicussions with Data Scientists and for job applications!

By Yossakorn K

Aug 9, 2020

This course makes me know various tools in data science and how to use them appropriately for each specific way of theirs.