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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,409 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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2626 - 2650 of 4,635 Reviews for Tools for Data Science

By Scott G

Sep 16, 2022

I think it could have done a better job covering toolsets not from IBM also, but I have a reasonable introduction to IBM Watson Studio's toolkit along with Jupyter Notebooks and RStudio.

By Nie Y

Nov 19, 2020

The course in general is excellent!

Just in some part, the sequence of the instruction should be reordered. If you look into the comments from other fellows, they encountered same problem.

By Artem N

May 24, 2020

Good course for first steps of understending techniques of working with programs. But educational material is outdated. Most of the videos related to previouse version of learned systems.

By Adesola F

Aug 11, 2022

This course is a very good guide for newcomers in the field of data science. It gives a very good overview of the tools available to the aspiring data scientist. Its structure is apt.

By Sushrut A

Jul 18, 2020

Detailed Introduction to Tools used for different Data Science tasks, how to manage different tools and how they work with each other, giving new Data Scientists endless possibilities

By Vishnu P

Feb 18, 2021

First two weeks had quite useful videos and labs. The third week was entirely about IBM which kind of feels like a shameless plug. Week 4 Assessment could have been made a bit harder

By Kyle I B

Sep 28, 2020

Great content. Week 1 github labs were pretty poorly organized, and could use improvement. The rest of the course (Jupyter and R Studio) was great. Thanks so much to the instructors!

By Jerome S

Jul 19, 2023

This was a good course, it introduced a wide range of topics and tools but was not in depth but I think the depth will arrive in later courses that are a part of the specialization.

By Diego M

Feb 11, 2023

everything was going well until I saw the IBM Watson Studio part. It became very difficult for me to understand, and when my free plan expired I could no longer use their platform.

By Chris C

Jan 6, 2020

Good material and pace, good selection of tools. Some of the video material was outdated (IBM Watson software now looks different and has slightly different steps for signing up).

By CHIN W L

Nov 28, 2019

There exist a need to update Watson Lab video to be in-line with the actual page access through web. It took me awhile to figure out how to register and create a jupyter notebook

By Aurelio L G

Aug 23, 2019

Del momento en que se hizo el curso a la fecha, algunos recursos han cambiado de nombre y esto es mencionado en el curso de manera confusa ya que no está debidamente actualizado.

By AJITH M

Feb 1, 2022

The IBM watson studio tools were too much to become familiar for a newcomer. Can understand how complex and pwoerful the tool is. The assignment was more engaging and felt good.

By Anatolii L

Mar 4, 2021

Very simple and comprehensive introduction to Jupiter, Github and Watson Studio. To my mind the intro to Git and Github is one of the best in terms of quickly learning the tool.

By Kristin R

Nov 24, 2018

Some of the teaching videos are outdated. I guess if I couldn't problem solve around that then I probably wouldn't be a great fit for this course. Otherwise, I would give it 5/5

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 Borel A

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