Earn a certificate & get recognized
IDEs for Data Science
Unlock the power of IDEs for Data Science with our free course! Dive into Jupyter Notebook, Google Colab, and Spyder to enhance your analytical skills!
Instructor:
Mr. Anirudh Rao
Modules updated 07/2025
About this course
IDEs for Data Science is a free course designed to elevate your data science experience. Explore the powerful trio of Jupyter Notebook, Google Colab, and Spyder, essential integrated development environments (IDEs) for data professionals. Unlock the potential of Jupyter Notebook's interactive computing, leverage the collaborative features of Google Colab for seamless teamwork, and delve into Spyder's efficient data analysis tools. Whether you're a beginner or an experienced data scientist, this course offers hands-on guidance to enhance your coding, visualization, and collaboration skills.
Ready to go beyond the basics? Take your data analytics skills to the next level. Check out our PGP in Data Science and Business Analytics.
Course outline
Jupyter Notebook - Overview
This module will cover how to install and use Jupyter Notebook and how to work with Python on Jupyter Notebook.
Google Colab
This module will introduce Google Colab. It will explore the significance, features, and different types of runtime available in Google Colab, followed by a practical demonstration of using it.
Spyder
This module will introduce Integrated Development Environments (IDEs), focusing on various IDEs available for Python, and guide through the installation process and environment setup for Spyder Python.
Get access to the complete curriculum once you enroll in the course
What our learners enjoyed the most
Skill & tools
63% of learners found all the desired skills & tools
Our course instructor
Mr. Anirudh Rao
Data Science Expert
Frequently Asked Questions
Will I receive a certificate upon completing this free course?
Is this course free?
What are the prerequisites required to learn this IDEs for Data Science Course?
You do not need any prior knowledge to learn this IDEs for Data Science Course.
How long does it take to complete this free IDEs for Data Science Course?
IDEs for Data Science is an 3.5-hour long course, but it is self-paced. Once you enrol, you can take your own time to complete the course.
Will I have lifetime access to the free course?
Yes, once you enrol in the course, you will have lifetime access to any of the Great Learning Academy’s free courses. You can log in and learn whenever you want to.
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