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IDEs for Data Science

Intermediate level 4.5 learning hrs 893 Learners

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

Key Highlights

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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. 

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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

IDEs for Data Science

4.5 Hours

Intermediate

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893 learners enrolled so far

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Master in-demand skills & tools

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What our learners enjoyed the most

Our course instructor

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Mr. Anirudh Rao

Data Science Expert

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779.1K+ Learners
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79 Courses
Anirudh has been working in the field of Data Science and has expertise over Python, Machine Learning and other concepts in the field of data analysis. He is also proficient in the concept of Deep Learning and its usage in a production environment. Expertise extends towards working on various projects in the domain of Artificial Intelligence and Neural Networks as well.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

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.

Will I get a certificate after completing this IDEs for Data Science Course?

Yes, you will get a certificate of completion after completing all the modules and cracking the assessment. 
 

How much does this IDEs for Data Science Course cost?

It is an entirely free course from Great Learning Academy.
 

Is there any limit on how many times I can take this free course?

No. There is no limit. Once you enrol in the IDEs for Data Science Course, you have lifetime access to it. So, you can log in anytime and learn it for free online.
 

Who is eligible to take this IDEs for Data Science Course?

You do not need any prerequisites to learn the course, so enrol today and learn it for free online.
 

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