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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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3576 - 3600 of 4,596 Reviews for Tools for Data Science

By Cristhian S

Aug 13, 2019

Sometime I feel that I am lost in those videos about R and Zeppelin. One video starts doing something like uploading a file and the next one makes the overview of the tool when it should be first.

By Xin W

May 31, 2019

Introductions are quite brief and assignments are not challenging. You may need to spend quite extra time to really get to know how to use there open source tools. But still a good way to start.

By Peter F N

Aug 28, 2018

Very useful course, great way for anyone to familiarize themselves with open source data science tools. The videos are outdated, however, which made it difficult to do the assignments at times.

By JOAQUÍN M

Jun 13, 2023

Se debería de facilitar documentación bien estructurada y editada, en pdf de todos los contenidos del curso, no sólo las transcripciones que además muchas veces están mal traducidas. Gracias.

By Ellinor G

Jan 28, 2021

This is supposed to be a course for beginners but the amount of advanced concepts and tools they throw at you with no explanation is staggering. A pity because otherwise this could be useful.

By RenRen4 M

Dec 5, 2020

I found the majority of the videos to be pretty boring. I think more practical exercises, with actual goals, rather than purposely importing or copying random code, would improve this course.

By Vinet C

Nov 18, 2022

Less structured than the first course, but still good. The information is less clearly communicated and presented more haphazardly than in the first course. That said, I still learned a lot.

By chidi o

Jan 24, 2022

Had to figure out many aspects of the course on my own and it was labelled as beginner course. I really wonder how a student with no prior programming knowledge will cope with the assignment

By Colette C

Jan 14, 2020

Overall, I enjoyed the course. However, the video instructions for using IBM Watson Studio did not match the updated version, thus making it a bit difficult and frustrating to follow along.

By Nuno A

Mar 14, 2019

The incoherence between the IBM tools interfaces in the videos and the real interfaces makes us lose quite a bit of time with simple tasks just as setting up an account or create a notebook.

By Todd J F

Jun 2, 2019

The videos need to be updated for the actual tools being used now. The videos do not help if i have to go digging in Q&A for how to access and perform the assignments with the new tools

By Subir R

Feb 25, 2019

The write up and videos don't always match the programs, probably just need updating.

Overall a good introduction to a lot of tools, but unnecessarily complicated for absolute beginners.

By David P

Jun 26, 2019

The only reason I gave this only 3 stars is because the Week 3 videos did not match up to the content instruction. This made it difficult and confusing. Not sure when it will be fixed.

By Luigi d M N

May 14, 2020

A nice introduction to the open source tools. Not much programming, but a good starting point at least on Markdown usage. Hopefully the certification will get more difficult with time!

By Anh D

Aug 30, 2020

There are a lot of tools in this course, and I feel it is overwhelming for me. The way that instructors talked about Jupyter Notebook and RStudio is so advanced for a newbie in tech.

By Toan L T

Oct 14, 2018

Good to know some tools the use as a Data Scientist.

But could be shorter, and should be a module in a week, not a whole course. I feel like watching an out-dated advertisement of IBM.

By Netra S

Apr 6, 2022

The course is poorly designed. Too many wordings and not enough checkpoints to recall the understandings. The quizzes seemed to test your memory power, rather than the understanding.

By Hans K

Dec 9, 2020

There are plenty of useful information in this course. However, there is a section that is really heavily discussing IBM specific products, which may not be relevant for some users.

By Sue W

Nov 13, 2019

Very interesting to learning, but frustrating that the assignments or instructions do not match the tools. Extra time is needed to find what the instructions are trying to say or do

By Luke F H

Oct 30, 2022

Not bad as an overview. Lots of info that I hope will become clearer as we move forward. It's good to know how to post Jupyter on GitHub and Watson Studio. Those are biggies...

By antonio s

Mar 30, 2020

IBM watson studio videos are outdated. Ibm platform has been updated and the videos do not correspond to the current version making it difficult to follow. this should be improved

By Timothy B M

Sep 23, 2019

The instructions no longer match the applications and a lot of time is wasted trying to figure out what to do. There are literally hundreds of forum entries complaining about this.

By Arpita C

May 24, 2020

I enjoyed the course and think its really useful to understand the tools ahead of the core training, however the visuals and the hands-on are not in sync particularly so in Week 3

By John H

May 18, 2019

The course was okay. I learned about a few new data science tools. However, I only gave three stars because I felt like the lessons and assignments could have been more in-depth.

By Adam W

Nov 8, 2023

Professionally prepared course with nothing but fancy tech names. The only useful assignment was the jupyter + github, so 2 stars for being professional and 1 more for the that.