Free Jupyter Notebook Course
Jupyter Notebook
4.52
Beginner level
2.25 learning hrs
Learn Jupyter Notebook basics, including its features, installation, interface, Python programs, and practical Data Science tasks. Enroll in this Jupyter Notebook Course to build hands-on skills.
Instructor:
Mr. Anirudh Rao
About this course
This Jupyter course will help you learn Jupyter Notebook from the fundamentals and understand its role in Data Science. You’ll explore the platform’s key features, support for multiple programming languages, interactive interface, and common use cases. The course also covers installation and provides a guided interface walkthrough where you’ll execute a simple Python program. These Jupyter Notebook basics will give you a practical foundation for working with the platform.
You’ll then apply what you learn through a hands-on Data Science demonstration using Jupyter Notebook. You’ll work with libraries and datasets, print data, explore correlation, and apply Machine Learning techniques. This Jupyter Notebook course combines concepts with practical demonstrations to help you build confidence using Jupyter Notebook for Data Science tasks.
Course outline
Introduction to Jupyter Notebook
The first section will introduce you to the free, open-source platform, Jupyter Notebook, and its significance in Data Science.
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.
Get access to the complete curriculum once you enroll in the course
4.52
What our learners enjoyed the most
Skill & tools
69% of learners found all the desired skills & tools
Our course instructor
Mr. Anirudh Rao
Machine Learning Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
How long does completing this Jupyter Notebook online course take?
This course contains 1.5 hours of video content which you can learn at your own pace.
What will I learn in this Jupyter course?
You’ll learn Jupyter Notebook features, installation, interface navigation, Python execution, and practical Data Science tasks.
Will I have lifetime access to the free course?
Yes, you will have lifetime access as this course is self-paced that can be learned at any time at your leisure.
Can I learn Jupyter Notebook as a beginner?
Yes. The course starts with an introduction to Jupyter Notebook and its features before moving into installation and practical exercises.
What are the Jupyter Notebook basics covered in this course?
You’ll learn about the platform, its features, installation, interface, Python program execution, and practical Data Science applications.
Will I learn how to install Jupyter Notebook?
Yes. You’ll follow a hands-on tutorial covering the installation process.
Will I learn how to use the Jupyter Notebook interface?
Yes. You’ll get a guided walkthrough and learn how to use its features to execute a simple Python program.
What knowledge and skills will I gain upon completing this course?
Through this course, you will gain the functional knowledge of how to implement the Jupyter Notebook, where you will get familiar with its installation, configuration, and execution of Python code.
Can I practice Python using Jupyter Notebook?
Yes. The course includes a practical demonstration of executing a Python program within Jupyter Notebook.
Will this Jupyter Notebook course include practical Data Science exercises?
Yes. You’ll work with libraries and datasets and explore correlation and Machine Learning techniques through a hands-on demonstration.
Is there any limit on how many times I can take this free course?
There is no limit; you can rewatch the videos any number of times and learn at your leisure.
What will I learn through the Jupyter Notebook training?
You’ll gain practical experience with installation, interface features, Python execution, libraries, datasets, and Data Science tasks.
Can I sign up for multiple courses from Great Learning Academy at the same time?
Yes, you can sign up for any other course from Great Learning Academy simultaneously.
Can I learn how to use Python in a Python Jupyter Notebook course?
Yes. The course demonstrates how to execute a simple Python program and use Jupyter Notebook for practical Data Science work.
Will I learn how to import libraries and datasets in Jupyter Notebook?
Yes. The practical demonstration covers importing libraries and datasets and working with the data.
Will I learn how to explore correlation using Jupyter Notebook?
Yes. The final practical demonstration includes working with datasets and exploring correlation using Jupyter Notebook.
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