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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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2501 - 2525 of 4,596 Reviews for Tools for Data Science

By Jaime V C S

Jan 9, 2019

Hello Everybody,

This course is great, i learned some tool that i have never even listen obout them. But there are some videos outdated and it can make the expirience a little bit confuse. But with a little patience its possible to got through it!

By Saumitra P

Nov 10, 2021

Excellent course on knowing the basic tools involved in data science. However, towards the end of the course, they kept the theme very IBM oriented and not general. Like using only IBM tools to do the course exercises. The rest were all very good.

By Aditya S

Sep 23, 2021

This is very good course actually. I learned many things about the tools for analysis and also practice forward through the application. But sometimes several students cannot register for cloud or notebook service, I hope the developer can fix it.

By Dave H

Jan 3, 2023

The content was useful, but the quizzes/exam seemed to have certain instances of questions being less about knowing the tool and how to use it, and more about whether you retained every specific word said in the videos. The tutorials were useful.

By Jennie S

Nov 15, 2020

Some of the instructions were not so clear/outdated, but the teaching staff were pretty timely responding via the discussion forum. A few things were not covered in the reading/videos so I had to do my own research to answer the quiz questions.

By Natalie B

Oct 20, 2019

The "Week 3" module appeared to not have been updated and caused some confusion and issues with the final project. The discussion boards made it more confusing too.

Good and clear information in the first two weeks which is why it got 4 stars.

By Vincent T P

Mar 28, 2022

Great videos, Great start to the field of data science. Great review of the tools that would be used in this field. Suggestion: There should be more hands-on practice of the tools instead of explaining as it was done in some of the videos. Fo

By Kimberly D

Jan 30, 2021

There is a lot of description about IBM Watson tools and it's amazing at what one can do with those tools. It did feel a little overwhelming for a person like me (with zero knowledge about Data Science), but I guess it's going to be worth it.

By Marta F d O F d N N

May 13, 2020

This is a good introductory course, perhaps a bit too easy if you're already familiar with other programming and notebook tools. I nonetheless learned a lot and feel like it contributed to expanding my skillset and knowledge in data science.

By Irkan H

Dec 14, 2019

Content is great, but it is not updated to match latest updates in IBM website, it needs to be updated to save students some time searching for workarounds on how to apply things mentioned in this course in the new layout of the IBM website.

By Jason L

Jul 2, 2020

Advanced course. Some topics were hard to comprehend. Enjoyed the deep dive into near 100 tools data scientists use. It was tough to understand 2 of the teachers in their videos, but I can understand english is not their native language.

By Neha J

May 19, 2023

Assignments reviewed by peers is not a fair assessment. I uploaded the assignment twice but still 4 points were deducted for no reason. All the exercises were completed as mentioned and all were passed based on the rubric criteria as well.

By Corey A

Aug 28, 2022

A lot of information jammed into a well-presented online course, The IBM platform is enormous and complex... it will take a lot more than this course to fully appreciate the services rolled into IBMs cloud services, but it's a good start.

By Vivek M

Aug 28, 2021

The Quizes and Lab assignments are very well designed. If a student does not pass the final exam in first attempt then questions are changing randomly each time from different topics of the course that's good thing to check the knowledge.

By Bhusita S

Jan 25, 2021

The lesson for Week 1 is hard to keep concentrating and the way to simplify some contents is not clear for beginner who has no background knowledge like me but can't deny that this course is benefit for one who wanna pursue in this career.

By jesus m

Feb 19, 2023

some of the content and labs were not completele clear, specially around git.

some of the questions' answers were not completely covered in the material.

some of the content went unnecesarily deep when all we were looking at was the tools

By Ange D

Jan 31, 2023

Comprehensive information. However, the ability to use IBM Watson Studio and IBM Cloud Pak for Data for free as part of the course is completely broken. You can still complete the course, but you can't do the exercises in Watson Studio.

By Ese O

Sep 16, 2019

The course needs to be updated with instructions on how to use the current IBM Watson Studio , it took a lot to navigate around the tool and figure how things work. Besides the outdated lecture materials, this was an insightful course.

By Anoop K

Jul 19, 2020

Few of the videos and reading material do not give the complete information of what all are the pre-requisites. For some one who is not from programming domain will not know about such pre-requisites. Otherwise well developed courses.

By Nilanjana M

Aug 1, 2019

I felt the Jupyter notebook and Markdown portion was more highlighted than the others. Could have been made much more better, but I am grateful for even the little that I learnt. I would sincerely like to thank the course instructors.

By Michael S

Apr 20, 2023

Very clear explanations

Though I feel assets used in tutorials must be provided in order to have step by step and success rate.

I found myself getting stuck when uploading my own datasets and the jupyter notebooks returned with errors.

By Sixto M

Jan 27, 2022

Some videos need to be polished a little better to be more understandable. Specially the ones where people walk you through coding and using tools: they go a little bit too fast for people like me who know nothing about this subject.

By Pulkit k

Jun 25, 2019

This course is very beneficial for beginners. As the instructor teach you how to use Data science tool such as Jupyter Notebook, Zeepline Notebook, R Studio etc.

One thing i fill that the teaching sense is not that good for beginners.

By Esteve N L

Feb 28, 2023

Interesting but sometimes shows lots and lots of tools that you won't been using during the course. Fewer tools taught in a more significant way like doing labs would be great. It does a good job in making you use Jupyter notebooks.

By Alvaro M M

Dec 6, 2021

Esta muy bien pero los estudiantes de coursera no tenemos acceso al IBM SPSS version para estudiantes, Coursera es una empresa potente y se que puede conseguirlo. Agraqdeceria que si lo consiguiesen ame avisen para poder utilizarlo.