Udemy – 10 Jupyter Notebook Frameworks in 10 Days (Kaggle, etc) 2025-7

Udemy – 10 Jupyter Notebook Frameworks in 10 Days (Kaggle, etc) 2025-7 Downloadly IRSpace

Aug 16, 2025 - 07:08 Updated: Aug 17, 2025 - 19:45

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Udemy – 10 Jupyter Notebook Frameworks in 10 Days (Kaggle, etc) 2025-7

10 Jupyter Notebook Frameworks in 10 Days (Kaggle, etc). This practical and comprehensive course teaches you the basics of working with Jupyter Notebook and ten frameworks based on it in ten days. You will learn about the history of Jupyter Notebook and the modern products that have developed from this open source project. In this course, you will learn at least ten different tools, including Jupyter Notebook (the original project based on IPython), Project Jupyter (the wider ecosystem including JupyterLab), Anaconda Cloud (a free cloud solution), Amazon Studio Lab (a free GPU-powered cloud platform), Google Colab (a GPU-powered notebook environment from Google), Kaggle (a data science competition platform), Hex (an advanced web UI), Deepnote (a hosted environment with no-code widgets), JetBrains Datalore (a cloud environment from the developers of PyCharm), and Snowflake Notebooks (for running code close to big data). At the end of the course, you’ll get a quick tutorial on Markdown, as well as an overview of the history of Jupyter and other related tools. The course also includes tips for becoming an expert in each of these tools.

What you will learn:

History of notebook-based frameworks
Introduction to more than ten notebook-based frameworks
How to use intermediate and advanced features of Jupyter Notebook
Traditional user interfaces Jupyter Lite, Jupyter Notebook, and JupyterLab
Modern Jupyter-based frameworks such as Hex, Datalore, and Deepnote
Free notebook-based cloud frameworks with GPUs like Google Colab and Amazon Studio Lab
Markdown Bootcamp
Generate interactive dashboards and static reports from Jupyter notebooks
Performing data analysis and machine learning in Jupyter notebooks

Who is this course suitable for?

Data Scientists who need a better environment for their experiments.
Data Analysts who want to learn or improve their knowledge of notebooks.
Programmers and Software Engineers who want to learn a different way to build applications.
Data Engineers who want to explore how to build Data Pipelines using notebooks.
Any technical and non-technical person who is interested in learning about Jupyter notebooks.
Anyone who wants to explore modern products based on Jupyter notebooks.

Course Details 10 Jupyter Notebook Frameworks in 10 Days (Kaggle, etc)

Publisher: Udemy
Instructor: Cristian Scutaru
Training level: Beginner to advanced
Training duration: 10 hours and 10 minutes
Number of lessons: 81

Course headings

Prerequisites for the 10 Jupyter Notebook Frameworks in 10 Days course

Basic programming in Python and SQL
Optional previous experience in data pipelines, data analysis or data science
No prior knowledge on any Jupyter-based product or framework is required

Course images

10 Jupyter Notebook Frameworks in 10 Days (Kaggle, etc)

Sample course video

Installation Guide

After Extract, view with your favorite player.

Subtitles: English

Quality: 720p

Changes:

Version 2025/7 compared to 2025/5 has not changed in the number of lessons and duration. But, English subtitles have been added to the course, which are available for download separately.

Udemy – 10 Jupyter Notebook Frameworks in 10 Days (Kaggle, etc) 2025-7