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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,175 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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3651 - 3675 of 4,596 Reviews for Tools for Data Science

By Haritosh M

Oct 17, 2021

I wish the explanations near the end were gone through slower since it can overwhelmed some people.

I also wish the exercise was more involved.

By Katharina R

Dec 17, 2022

Good overview at the beginning, but too much emphasis on IBM commercial products in second half. IBM Watson instructions sometimes confusing.

By Aditya V

Feb 17, 2022

At times the content of the course becomes overwhelming, also content is very outdated and doesn't match which current interface of the tools

By Ahdan S S

Oct 9, 2020

The tools are great, but it mostly about IBM, and kinda boring for those tools introduction without we ever will try it in the nearby future.

By José R

Dec 8, 2019

The course is good; just missing to solve the problem of creating Notebooks in Watson platform which is extensively documented in the forums.

By Alla M

Nov 9, 2019

over all was a good course but much of the materials were out dated which takes some time for someone to figure out to find a way around it.

By Ziming L

Mar 31, 2019

Lots of videos need to be updated as the links, buttons and/or page content are quite different from the actual page student seeing today.

By Jinson J

Dec 16, 2019

The description of the IBM Watson studio is not correct.

The videos are outdated and it took time to map old tool to new IBM watson studio

By ACTraveler

Mar 11, 2019

I would have rated 5 stars although, IBM Watson Studio (Data Science Experience) was outdated and some had issues according to the forum.

By Bryan B

May 19, 2020

The introduction to IBM Cloud Watson Studio in the courseware should be updated to reflect the layout and buttonology of the new layout.

By Prieshecumar S P

Feb 18, 2020

The IBM Data Studio videos are outdated and they don't reflect what you find on IBM Data Studio's new version. Please update the videos.

By Lu E

Jan 29, 2020

A bit boring, but necessary. I think there could be more graded exercises instead of ungraded experiments. To make it more challenging.

By Andrés S H A

Dec 15, 2021

It is complicated when you are pushed to use Watson Studio to program in Python, there is another simple way without using that tool.

By Natalie J

Feb 3, 2021

It was a really great course BUT in the labs the explanations on how to do things were very poor. I had to google a substantial amount

By Shudufhadzo M

Jun 20, 2020

Overall, the course is good. Some of the videos are outdated. It made it difficult to complete the last assignment as well as the lab.

By Grzegorz K

Mar 23, 2020

The material is chaotic, it's more tutorial and ad for three presented platforms than an independent course presenting available tools

By Matthew L

Jul 3, 2019

Instruction Videos are outdated; a totally different format is used for some of the Open Source Tools then what is shown in the video.

By Mr G

Jun 23, 2022

There was some useful information, but overall it looked like a huge ad for a bunch of IBM products that I can't even appreciate yet.

By Mark S

Jan 24, 2020

We desperately need to update the vids to reflect the current v. of watson. This was tough to figure out without the proper tutorial.

By PEDRO L S S

Jan 22, 2020

The screen of the environment tools presented in this course should update regarding the application (Watson Data Science plataform).

By Irina D

Oct 30, 2019

its generic course knowlwdge, and face challanges to open and creare Whatson Studio projects as well to open link with my assestments

By Dustyn E C

Feb 26, 2019

There's a part in week three where the tutorial videos don't resemble the website we're supposed to be working with in the slightest.

By Wendy B

May 21, 2020

For a beginner class, I thought there was lots of references to terminology and names of software, etc. that weren't well explained.

By Jessica U

Apr 19, 2020

Some of the content desperately needs to be updated! In particular, the section on IBM Watson Studio *really* needs to be revisited.

By Amit K

Apr 16, 2020

It was very difficult to create account on IBM watson. Most of the critical things were self learn and there was no video for them.