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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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376 - 400 of 4,722 Reviews for Tools for Data Science

By Gopala R

Oct 3, 2018

Very nice introduction to online tools with simple hands on training. Labs and quizzes are build the confidence of the student whether novice or expert in other areas.

By Wesley A H

Jun 20, 2023

Short, easy to follow lessons. The labs were very user friendly. The tests were challenging without being too difficult for those beginning data science education.

By Alpesh G

Jun 8, 2021

Great course to learn about open source tools available for data science, highly recommended. Thank you IBM and Coursera for such in depth great learning experience.

By GREGORY M

Mar 24, 2020

Loved the practical exercises and information. Hands on in the notebooks in a few different environment gave me confidence to try out other things on my own. Thanks.

By Raghupati Y P

Feb 22, 2020

This course is little tough to clear at Assignment Stage but if your curious and determined then it's just the matter of time and you will start loving DATA SCIENCE.

By Pinky C

Dec 11, 2019

Thanks for creating this course but while doing it with complete specialization according to first course it feels little hard and not connected with previous course

By Diana J

Jul 13, 2020

its a bit challenging for a fresher in computers but with help of faculty support that is compensated .Special thanks to Miss Mallika...I could complete the course.

By Agata

Jul 31, 2021

I am genuinely chuffed having gone through this course. Clear explanations, theoretical parts well combined with practical ones. Thank you for such a great course!

By JUDIKA R S T

Jun 28, 2020

This course help me as beginner to understand about tools for data science such as rstudio, IBM cloud to create notebook and how to create simple code using phyton

By Vivekanand P

Sep 11, 2019

Nicely documented learning. Only suggestion is to update the content of lab where instructions are per the old DSX tool and are not exactly same for Watson studio.

By Ramon M

Apr 19, 2020

Great course! I learned about so many open source tools for data analysis. I also learned how to use these open source tools at a basic level. FOUNDATION SECURED!

By Yasmin

Apr 19, 2020

Clear and easy to follow course. very rich in resources and self-learning materials to sharpen your knowledge even if totally new to programming and data science

By SIU C C

May 9, 2022

This course in terms of the contents is good. However, when come to topics regarding line commands for GitHub, it is too fast and cannot learn anything indeed.

By Keiandra K

Mar 12, 2023

This course is easy to understand and as a beginner you can learn the tools pretty effecively. It provides detailed information and the opportunity to explore.

By Senthil K T

Aug 4, 2022

Given sufficient information about the tools were using in datascience. The video explanations are too fast we have to steady pause to get what are instructed.

By Abdulkadir G

Mar 6, 2022

The course helped me tremendously and enhanced my skill set. I did not know my Keras from my Pyspark before this course but I am now using Pyspark comfortably.

By Min T A

Feb 14, 2021

I gained a lot of valuable information with regard to the tools and scope of data science. With that, I now have more confidence in my data science profession.

By Mina W

Jun 23, 2020

I enjoyed this level a lot and am astonished by the capabilities of the Watson Studio. I am really glad that I can finally find my way on these powerful tools.

By Andrew K J

Jul 12, 2019

I found this course very useful. I especially enjoyed practice with new markdown tools in Jupyter which were very useful for creating well formatted notebooks.

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.

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.

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!

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

By Deleted A

Jan 14, 2020

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

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.