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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
    29,785 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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    2801 - 2825 of 4,881 Reviews for Tools for Data Science

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    By ZHANSAYA Z

    •

    Sep 11, 2019

    overall, the course is great, but since the IBM environment changed, videos do not correspond to exercises. It would be good to add reading materials clarifying differences in more detail.

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    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.

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    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Artem N

    •

    May 25, 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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    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!

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Chris C

    •

    Jan 7, 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).

    Filled StarFilled StarFilled StarFilled StarStar

    By CHIN W L

    •

    Nov 29, 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

    Filled StarFilled StarFilled StarFilled StarStar

    By Aurelio L G

    •

    Aug 24, 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.

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    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.

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    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Antony B

    •

    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.

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    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.

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    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    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

    Filled StarFilled StarFilled StarFilled StarStar

    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.

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    By Konnor S B

    •

    Dec 31, 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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

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