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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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126 - 150 of 4,596 Reviews for Tools for Data Science

By Sultan A

Oct 5, 2021

It's some kind of advertisement for IBM products

By Deleted A

Nov 29, 2022

loss of money

By Oleh L

Feb 23, 2023

I recently completed the "Tools for Data Science" course on Coursera and found it an excellent resource for anyone interested in this field. The system provided a comprehensive overview of the various tools used in data science, including popular programming languages like Python and R, libraries, and development environments.

One of the things I appreciated most about the course was how it balanced theoretical concepts with practical exercises. The lectures were clear and easy to follow, and the hands-on assignments allowed me to apply what I learned in a real-world setting.

The course also included a variety of supplementary resources, including quizzes, discussion forums, and additional readings. These resources helped reinforce the key concepts covered in the course and provided additional context and examples.

Overall, I highly recommend the "Tools for Data Science" course to anyone looking to build a strong foundation in this exciting and rapidly growing field. The course is well-structured, and engaging, and provides a great starting point for anyone looking to explore the world of data science.

By Santiago A G

Mar 7, 2023

Este curso ha sido sin duda uno de los mejores que he tomado en mucho tiempo. La calidad de la instrucción fue excepcional. El contenido del curso fue muy completo y actualizado, cubriendo todos los temas relevantes en el área de estudio. Los recursos proporcionados fueron de gran ayuda para entender los conceptos y profundizar en los temas. Además, las actividades y tareas asignadas fueron muy desafiantes pero a la vez muy útiles para afianzar el conocimiento adquirido.

La estructura del curso y la metodología utilizada fueron muy efectivas. Además, la plataforma virtual utilizada para el curso fue muy intuitiva y fácil de usar. Los materiales y recursos estaban disponibles en todo momento, lo que facilitó mucho el estudio y el aprendizaje.

Por todo ello, este curso es altamente recomendable para cualquier persona que busque mejorar sus conocimientos en esta área de estudio. La calidad de la enseñanza, el contenido actualizado y completo, y la metodología utilizada son algunos de los aspectos que hacen de este curso una experiencia de aprendizaje única y enriquecedora.

By Rinku J

Jul 14, 2023

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 touse 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 andCloud-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 featuresand 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 testeach tool and follow instructions to run simple code in Python, R, or Scala.

By Eduardo C Q I

Mar 5, 2024

This second course for the specialization program for Data Science is really helpful, informative and very practical. All the instructions are clear and precise when it comes to use tools like Jupyter Notebooks, R Studio and GitHub. The videos are well made and the labs will let you gain important practical experience. The way you can do the labs on the cloud and are guided through them is wonderful. Step by step instructions. The discussion forums are helpful as well. I was a little afraid of using GitHub and Jupyter notebooks and Jupyter-like environments, but now I know it is not that difficult. I now know the basics. And the basics are the fundamental ideas for you to keep going and learn in the future. Also, the explanations about libraries, languages, open-source and commercial tools, and data science categories are clear and let you have a very informed overview of all that.

By Jason R S

Nov 23, 2019

I'm giving this the 5 Star review that it deserves, even though I ran into multiple issues when setting up IBM Watson Studio. The application from the video differed greatly from whatever version of Watson Studio that I had logged into - as if the video content was outdated. This made the navigation of the setup very cumbersome and time-consuming and it also hindered and delayed my ability to complete the assignments. However, everything else was either on point or better than the training materials (specific to the DS tools) that I had previously used. It appears that other students had completed their final graded assignments w/o any issues, judging by their submission date after I was tasked to grade their projects...

By Tapish D

Aug 27, 2021

This was a big boring or time consuming Courese. I invested like 3 months in this course as lost intererest in week 2 or end of week 1. There were so many names of Softwares and Tools which I though are very imporatant and to be memorised thus I was not aware do I really need to remember them or they are for information purpose only. As for rest of the course where Jyupter or Watson Studio Lab comes in then the course get intresting and there was definately fun things to learn about. I even made few notes and posted it on my website tapishdongre.com which will be definately useful in the future while working. In short Week 1 and Week 2 is Boring, Week 3 and Week 4 are Superb thus giving 5 stars for the overall experience.

By Tony C

Aug 22, 2020

I really enjoyed taking this course! The well thought-out and thorough course content kept me captivated through the whole course! I really appreciate the effort put into helping us students learn the most current technologies! Since I've recently finished a course on Machine Learning, I do have a suggestion for possible improvement of IBM SPSS Modeler's Analysis Node. That is to show calculated precision and recall, in addition to accuracy; especially when there is a low probability of occurrence when accuracy value can be misleading. Thank you, again, and may the love, joy, and blessings of our Lord Jesus Christ be with you and all who take this course!

By Jianxu S

Aug 22, 2019

This is the first course I have completed on Coursera. Overall it definitely meets its objectives. It is written for beginners and it indicates so in the course description. Yes some of the materials are a bit out of date but I do not find anything impeding. At times, for examples, during the setup phase for the tools, I felt stuck and the fact there was no one around to answer questions made it more challenging. However, part of the learning is to deal with uncertain situations and prepare us for the future. I did feel more satisfied when I finally overcame the challenge.

By Sterling W

Jan 16, 2023

There is a great deal of overview information in this course regarding the various tools and platforms for data science. I was excited to begin working with Jupyter Notebooks and Watson Studio and was completely thrilled to learn about the other tools available, which I also intend to learn. I had not realized what data science was and what one can accomplish through it prior to taking this class, and I see endless opportunity for applying the framework. I cannot wait until I learn enough to actually begin applying these skills to real world problems!

By Roshan B

May 1, 2020

This course is really good to get some basics of the tools but if you want to get better in these tools you either need to have basic knowledge of computer programing prior or you need to explore each tool yourself and give it huge time.

I would suggest the course organizer give some optional practice materials so that people can practice it and get familiar with the tools. Also, the course videos introducing IBM Watson studio are a bit outdated with the current website interface so some times it can be a problem to understand what to do.

By Ashok K

Dec 20, 2018

It is a good course. Lot to learn about Data Science. There is a small problem at times. Like the IBM Watson Studio instruction do not match with the actual website. BUT this minor small problem is easily over come. As I am discovering. The IBM's website is being upgraded for GOOD REASONS. SO even if there is some mismatch in their video instructions, no problem !!! One can find newer relevant answers on Google search or on FORUMS. Which is very good in learning to overcome minor difficulties. So Overall VERY GOOD as I am also learning.

By Sanjeev K

Apr 28, 2020

I love you Coursera, I am really thankful for the Coursera community to provide us the course is free of cost. so many students like me suffering from financial challenges and Coursera provides us the very best course free of cost. thank you very much, Coursera.

I want to tell about something about this course, this course was really awesome and able to understand all the concept of opensource tools for data science like jupyter zeppelin and IBM Watson. this course is very helpful for me. Through this course, I learn a lot of things.

By Mickey M

Aug 14, 2023

I am very passionate about learning Data Science. This course was great for a beginner, like me, with no programming skill. I am an older individual and have used DOS when it first was taught in my High School. Many eons ago :) Some of the links are in need of updates. I had to install a CRAN mirror before I was able to get R Studio. Other than that, I tried to suggest fixes when I saw them. The course is well presented and I love the introduction to the course with the eclectic individuals speaking about Data Science.

By SHUBHAM K

Feb 17, 2020

This course introduces the learner to the open source tools for Data Science in a very efficient manner. It describes the usefulness of different open source tools and at the same time provides hands on experience with them. There will be graded quiz sessions about each open source tool and it really helps to get the concepts clear. At the last, we have to write a Jupyter notebook and share it with our peers. We have been really guided very well to create our shareable notebook. Thanks for this course.

By MAYUR V

Jul 8, 2023

I personally learnt a lot from this course. The sheer amount of new things, like the various Data Science (DS) open-source, commercial and cloud-based tools, the various languages used in DS, the various powerful libraries, etc., blew my mind. Add to this, GitHub, Jupyter Notebooks, IBM Watson Studio (optional), this course is very heavy on both weight (importance) and content. I feel like I know a lot more than before as I've completed this course. Thank you for this wonderful course offering.

By Hasan M A M E

Jan 20, 2021

Thanks, Instructor, Many thanks Coursera. I really appreciate the support you've given me. I like this course. I learned first what “Data science” means that can affect my whole life not only my career. and this course will help me a lot to understand those concepts in an easy and right way. In this course, I’ll learn how to manage, extract, transform, analyze, and visualize data. Now, I might be able to survive data science without programming skills if I use the right set of tools Right now

By Vijaykrishna V

Jun 13, 2023

Tools for Data Science course was a great introduction for someone entering the data science field like me. The videos and transcripts clearly explained the concepts. The practice tests and quizzes at the end of each module in the course make you prepare well for the peer review assignment and final exam at the end. After completing this course, I became familiar with commonly used data science tools such as Jupyter Notbooks, GitHub, R studio, libraries and languages.

By Naime A A

Nov 28, 2023

I recently completed the "Tools for Data Science" segment at IMB, and I must commend 'Aije Egwaikhide', 'Svetlana Levitan', 'Romeo Kienzler' for an outstanding job. Their expertise and passion made complex topics accessible. The hands-on sessions were invaluable, and the choice of tools aligned perfectly with industry standards. The collaborative learning environment enhanced the overall experience. Thank you for a stellar course! Rating: ⭐️⭐️⭐️⭐️⭐️ MD. NAIME MUNSHI

By Fabien M

Feb 26, 2021

Excellent course. It gives you an overview of several data science tools and software. For each of them, a lab teaches you the basics and get you familiarized with the environment, user interface, and so on, without going too much into detail. It is up to the student to dig into more details if they so wish.

A typical excellent class where it takes you a few hours to understand, but it could take you months or years to specialize in the tools if you wanted to.

By Pushkar B

Jul 7, 2018

Adequate time and information (particularly step by step with screenshots for setup of notebook etc.) was provided in the video and related printed material. This is unlike other courses that I've take so far. So definitely appreciate the instructors and others who helped in creating the material. Although some of the DSX and Dev Cognitive Lab screenshots and steps were outdated due to the new version available, but the helpdesk of IBM was quick to respond.

By Assad S

Aug 4, 2021

Very good course for non Data Science people to have an understanding of different tools which are worth to use for Data Science field. I would highly recommend this course for any one who want to start in this field. I really enjoyed this course and kept noting all the key points. I hope those key points will serve as a reference as I move on in this field. Thanks to my Organization due to which I was able to do this course without any cost.

By Alfred D H

Aug 7, 2021

In this course the variety of Open Source Data Science Software Tools have been described and basic examples of their usage demonstrated in the labs. The key thing to know about this course is taking good notes from the videos. IBM Watson Studio is explained with a rich palette of tools available for a Data Scientist to choose from. Can see learning just a few of these tools to start so that a good comfort level is achieved for a student.

By Raul A M N

Apr 6, 2020

I have found the program very hands-on, and I like that. It is important to know the basics, and to know your tools, to be able to perform a great job later. This course will teach you how to use the basics for Jupyter Notebooks. Also, it will introduce you to the IBM Tool to make your Data Science journey better. You can always use Jupyter, R Studio, and others separately, but it is nice to have everything in one place and in the cloud.