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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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351 - 375 of 4,596 Reviews for Tools for Data Science

By Abhishek G

Sep 7, 2020

I learned about a lot of tools that I hadn't heard before. The course walks through deep insights into IBM Watson Studio and every aspect of it. This is a very detailed course.

By Ziaur R

Jan 8, 2023

the course was a nice experience for me. the instructors were simply outstanding and they way they taught was supper good. I feel proud and blessed to be a part of the course.

By Pawan P

Apr 13, 2023

This IBM data science course is verry good course . I recommend to all . great course i love it. just complete my second course tools for data science. i am happy till now.

By Revathi B

Sep 20, 2022

Coursera is a wonderful platform for housewife's . i am so excited to fullfil my everyday assignments during this course. Thanks a lot for this wonderful team. Thank you.

By Maggie G

Apr 19, 2020

intimidated to learn the analytics tools and worried i was too much of a beginner to take this course on. It was very easy to follow the steps 1 by 1 to learn these tools.

By Rudolph M N

May 16, 2019

I use a chromebook and these tools were very helpfull for someone who is new to the discipline and cannot reliably boot a python terminal or R studio on his primary machine.

By Swapnil K J

Jun 26, 2022

This course gives good information about tools used in data science. The assignment given for the practice are good and help to improve hands-on tools used in data science.

By HaseebEnt K

Jun 9, 2020

This was a fantastic course. I managed to learn a vast set of skills in both Skills Network Lab and IBM Watson studio. I recommend Coursera to all of my friends and Family.

By Devvrat M

Dec 1, 2019

Great course for understanding the essentials tools required to implement Data Science. Juypter Notebook and Zappelin Notebooks are the most preferred Notebooks to work on.

By Hasnat A L

May 1, 2023

A great opportunity for middleclass student to jump in Data Science filed

i am very thankful and humble to all of Coursera team they develop a amazing training system

By 陈嘉琪

Aug 27, 2019

Brief introduction to manny useful online tools for data science. Although it seems to be easy to accomplish this course, it really helps me learn more about data science.

By Tassio G

Feb 24, 2019

This course is primordial to meet the tools applied to the slim courses. Explicit concepts and ease of access in the course. Course clear, structured and of great value.

By P D

Apr 12, 2020

It was a great experience!! I had a great time learning how to create a new project, then a notebook where you can write codes using Markdown Cells, Headers, HTML,etc.

By Zaheer R

Oct 14, 2019

Makes you familiar with the software tools needed to write code in Data Science. It is not an programming class but rather a great tutorial around each piece software.

By Nikhil K

Jan 25, 2019

Thanks a lot to Coursera & mentors. I am really very happy for such a wonderful teaching pattern which is not only beginner friendly but interesting & interactive too.

By Glener D M

Jan 22, 2019

I learned how to use Jupyter Notebook in the IBM Data Science Experience and practically with its proficiency in preparing a notepad along with the Markdown recording.

By Andrew B

Jan 6, 2019

Useful tools for the beginning data scientist. However I found that all courses listed through this specialization are available for free through Cognitive Class Labs.

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!