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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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2701 - 2725 of 4,596 Reviews for Tools for Data Science

By Nikolay R K

Dec 26, 2020

Too much promotion of IBM Watson. The third week is very optional and uninteresting, and it is also not connected with the final assignment.

By Roberta B

Mar 25, 2020

The course is good but it would be great if the nomenclature of the cloud-based applications would match the current version of the toolkit!

By Anant S

Feb 28, 2020

Good introductory course but gives a very brief introduction about the tools. You don't really gain much skills after completing the course.

By Meltem G K

Sep 11, 2019

the videos are a bit outdated, can be confusing! but the course gives a good overview of the tools & enables to get familiar, good exercise

By Ji C M

Dec 30, 2018

Video lecture is something different with current IBM Watson Studio.

Please update contents with recent version of tools and configurations.

By mujtaba h

Oct 4, 2022

This course provides a lot of information to get you started, but not much hand-on work. Also, the videos are outdated by a couple years.

By Taja T

Feb 25, 2021

Too much theory, but practical exercises are easy. When telling about different software, it's very hard to remember all this information.

By Aditya M

Nov 12, 2020

In my opinion the first three courses of the IBM Data Science professional certificate can be neatly combined into an Introductory course.

By V.Xiao

Aug 13, 2019

Great introduction to popular open source tools for data science. A great way to get started on the journey of becoming a data scientist.

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By Varun M

Jun 17, 2023

It's a good course, that helps you understand data science tools, I highly recommend it if you are just getting started with data science

By Shravani C

Dec 22, 2022

The content is vast compared to the 1st course but if you have enough patience then you will enjoy this course and learn a lot from this.

By Gbolahan F

Sep 12, 2021

This is the best course I have ever taken that explains the tool kits of a data scientist. Great thanks to the tutors, IBM and Coursera.

By Stacey N

Oct 13, 2020

Some prior knowledge of programming is helpful for this course. Either that, or learn how to research for the information that you need.

By Devesh K

Feb 21, 2020

Seemed more like marketing the IBM Watson studio rather than listing and explaining open source tools, but it is indeed a good product !

By Juan G

Feb 19, 2020

just please update the videos as per the former Data Science Experience to avoid confusion for us noobies. The rest, just great! Thanks!

By Mose O

Aug 10, 2021

The course is good. I appreciate the way its done. I think we need more practical exercises for each of the three languages R & Python

By Milind D

May 22, 2020

Screens for Data Science Experience (DSX) did not match well with what showed up on Watson Studio. Help from discussion forums worked !

By Mengyan S

Aug 21, 2019

In my opinion, even for beginners could go deeper in this section. And the material for the IBM Watson Studio could be updated in time.

By Md. R R

Apr 25, 2020

Nice intro to open source data tools needed to be modified for new IBM cloud interface. I faced some problem finding it out on my own.

By Bill G

Oct 17, 2019

Informative. With all the technology available today it became abundantly clear - there is a great opportunity for viewing data today.

By Guy B

Apr 20, 2019

It is a great course,

sometimes I found myself lost when I don't realize the rule of what I learn to the data science world in general

By ALICIA A R

Jul 16, 2023

Some commands used in R Studio were not correct and it was difficult to learn and correct them. The rest of the course was excellent.

By Juan S R G

May 31, 2023

Everything was amazing. Only one thing for improve, before the final assignments could you please include the "Hands On" or in there.

By Pedro C

Jun 8, 2022

It was really interesting but sometimes it goes into irrelevant deteails making it pretty dense. It should go strainght to the point.

By Hizniye I B

Jun 17, 2021

Very hands-on, could have focussed a bit more on different tools (like hadoop, apache spark etc.) rather than frameworks to code in.