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Learner Reviews & Feedback for Tools for Data Science by IBM
29,500 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
MO
Apr 18, 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.
GC
Apr 13, 2020
It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.
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4826 - 4831 of 4,831 Reviews for Tools for Data Science
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 9, 2020
Boring
By ABINAYA.S
•Jun 14, 2022
worst
By Yu T
•Jun 18, 2021
dumb