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Learner Reviews & Feedback for Tools for Data Science by IBM

4.5
stars
28,855 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

CB

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Tools are fantastic and will make a significant contribution to my education. Videos need to be updated for changes to Watson Studios. Support from IBM on their cloud services should also be improved.

FD

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Some of the lab assignments had instructions that didn't line up with how the programs actually worked. This was particularly the case for modular flow where auto-numerics seemed impossible to use.

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401 - 425 of 4,721 Reviews for Tools for Data Science

By Onkar S

Aug 23, 2019

Really helpful in terms of getting a knowledge about the main core technologies used in Data Science.I would recommend this course to the absolute beginner.

By Girish P B

Jun 26, 2019

Course content was good, but IBM watson contents need to be updated and lots of issues while creating project. hopefully it gets resolved for other students

By Valentine D

Apr 19, 2020

A very good course for anyone who wants an understanding of the opensource tools available for Data Science. I had a very good experience and learnt a lot.

By Oleg E

Jul 26, 2022

Хороший курс, информативный. С каждым шагом становится понятнее, что и к чему в больших данных. Было интересно. Хорошая подача материала. Мне понравилось.

By jorge

Apr 6, 2020

It was helpfull to know which tools you can use, a small presentation of all of them. After, you have to find new tutorial to learn about them more deeply

By Ekwoge E B

Jun 10, 2019

This course help open a very broad area of tools to use for Data Science I had no idea even existed. I am thrilled and motivated to work on this even more

By Maria N L

May 16, 2019

Excellent introduction to basic open source tools used in data science; however, the content needs updating since the UI of IBM Watson Studio has changed.

By Raíssa B T

Mar 3, 2020

I liked very much the content. I know is an easy course, but I'd like to see more of what can be done, the languages etc. Thanks IBM for all this effort!

By Muhamma S

Feb 21, 2020

This is very useful course because I am only know the tool like juypter notebook , but course tells me about other tools like zepline , R studio , Amzing

By Jorge A C C

Nov 30, 2019

Muy recomendable, me encanto la oportunidad de poder hacer uso del Jupyter, Zeppelin, R en los entornos como el Skill Network Labs y el IBM Watson Studio

By Mayank A

Jan 24, 2019

This course of Open source tools for data science was very helpful in knowing about the tools and technologies which are used in data science techniques.

By Avoaja U c

Dec 13, 2018

Very informative course, It offers a gentle introduction to machine learning. And IBM has provided tools worth thousands of dollars for free to learners.

By Rama C S

Oct 4, 2020

Very informative, organically designed, and has useful lab work to make a great start. I particularly liked the crisp content along with precise videos.

By Daniels E C

May 13, 2019

This was informative. I like the tools, as my computers usually can't hold many programs. Some courses are too focused on softskills. This was tangible.

By M. M R

Jun 25, 2020

This course taught me how to create Jupiter notebook and use it, very helpful as I'm just a beginner and don't know how to use Jupiter notebooks before

By François J

Sep 23, 2019

Nice overview of tools available. Regarding the usefullness and the power of the IBM Cloud i wish we would have digged much mor einto their solutions.

By Muluken K A

Sep 10, 2022

Excellent course work. it can students and researchers to master data science easly. the materials provided and teaching methodologies are very good.

By Israel S S

Jul 25, 2019

Great course! I learned the generalities of the tools available to start studying data science. And I had the opportunity to build a practical example

By Mohamed F

Dec 24, 2018

This course is really good and give basic ideas about various data science tools viz Jupyter notebook, zeppelin, R Studio IDE, IBM Watson Studio etc.,

By Nevin

Apr 12, 2023

I enjoyed learning this course. It gives you a wholistic image of the underlying structures, processes and tools that are essential for data science.

By Hasibul I

May 13, 2020

This is an amusing course that helps to learn about how to the tools that's needed for data analysing ,data visulazition, in a word for data science.

By Sneha R

May 2, 2020

I got the chance to actually use open source tools like Jupyter Notebook, Zeppelin, RStudio on IBM Watson Studio. The overall experience was Awesome!

By Olaoluwa I

Jul 30, 2022

This course touches everything and more. It has all you need to know about the tools you'd be working with as a Data Scientist. Great course indeed.

By Anwar E E E

Dec 18, 2021

Very interesting for beginners and it expose the learner to streams of tools that can use in the areas of DS, AI and ML. I had enjoyed it very much.

By Julien D

Jun 28, 2020

I really liked this course. I had no problems at all. I also liked Romeo Keinzler. But, I think this should be labeled an Intermediate level course.