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- The first section will introduce you to the free, open-source platform, Jupyter Notebook, and its significance in Data Science.
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Quick Facts
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|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Type of course
Free
certificate availability
Yes
certificate providing authority
Great Learning
The syllabus
Introduction to Jupyter Notebook
Key features and insights about Jupyter Notebook
- This section will acquaint you with various features of the Jupyter Notebook, such as its support for multiple programming languages, interactive UI, etc., along with a few crucial insights on who uses this platform.
Installing Jupyter Notebook
This section will brief you on the procedure for installing the Jupyter Notebook on your system with the help of a hands-on tutorial.
Jupyter Notebook interface walkthrough
This section will demonstrate how to implement Jupyter Notebook from the techniques it offers to execute a simple Python program.
Practical demonstration of using Jupyter Notebook
- You will execute a hands-on Data Science demonstration in the last section of this Jupyter Notebook online course.
- You will learn how to import several libraries, import and print the dataset, correlation, etc., using several Machine Learning techniques.
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