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    Back to Tools for Data Science

    Learner Reviews & Feedback for Tools for Data Science by IBM

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.5
    stars
    29,764 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 plent...
    ...

    Top reviews

    MO

    Apr 18, 2023

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    GC

    Apr 13, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

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    401 - 425 of 4,879 Reviews for Tools for Data Science

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    By Ramiro B

    •

    Sep 22, 2019

    As elementary as it could be, it's a great introduction to Jupyter Notebooks indeed. But starting from this, I could see farther the reaching of Data Science.

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    By Patricia P

    •

    Jan 17, 2019

    São muitos recursos e um mundo de ferramentas. O curso passa pela mais relevantes e propõe atividades práticas em cada uma delas. Muito bom ter este panorama.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Lydia

    •

    Jan 31, 2021

    Informative course: the course introduces Jupiter Notebook and R Studio. Good start to learn more about programming languages that are used in data science!

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    By VINESH P

    •

    May 16, 2020

    A great course especially for starting with Jupyter Notebook, Zapellin or R studio. IBM Watson Studio is definitively the most crucial aspect of this course

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Deleted A

    •

    Jan 15, 2020

    The course is very useful. I got introduced to basic programming coding tools like Jupyter Notebook, RStudio, and Zeppelin. Definitely recommend this class!

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Azhan A

    •

    Sep 5, 2019

    Awesome course. Lots of Learning. These free sources adds lots of ease to your work, its like everything tool you can think of is present in a single place.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

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    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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

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    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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

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    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!

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

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    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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

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    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.

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    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

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    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.

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    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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.,

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