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Learner Reviews & Feedback for Tools for Data Science by IBM
29,650 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 plent...
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 plent...
Top reviews
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.
GC
Apr 12, 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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4851 - 4854 of 4,854 Reviews for Tools for Data Science
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