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Learner Reviews & Feedback for Tools for Data Science by IBM
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
NK
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The course video contents and the tools versions are not the same.There are some significant differences .Videos should be updated.In general the course is a good fundamental course about the tools.
MA
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The course is overwhelming for a beginner with no experiecne of programming. The examples given in the class seem difficult and should have been of a lower difficulty level to keep the hopes high.
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4726 - 4734 of 4,734 Reviews for Tools for Data Science
By Bethany L
•Nov 20, 2022
Terrible
By Korawan E
•Jun 4, 2020
Very bad
By Viswajith E S
•Nov 8, 2021
IBM AD
By David E P B
•Jul 25, 2020
so bad!
By lianghui t
•Jan 16, 2019
useless
By Carlos P d V
•Nov 12, 2020
Pesimo
By Pony F
•Sep 8, 2020
Boring
By ABINAYA.S
•Jun 14, 2022
worst
By Yu T
•Jun 18, 2021
dumb