Learn about Jupyter Notebook and Jupyter Lab, Anaconda Cloud, Amazon Studio Lab and Google Colab, Kaggle and more
Sub Category
- Data Science
{inAds}
Objectives
- History of notebook-based framework
- Introduction to over a dozen of notebook-based frameworks
- How to use intermediate and advanced Jupyter Notebook features
- Traditional Jupyter Lite, Jupyter Notebook and JupyterLab user interfaces
- Modern Jupyter-based frameworks like Hex, Datalore and Deepnote
- Free GPU-based notebook-based cloud frameworks like Google Colab and Amazon Studio Lab
- Bootcamp on the Markdown Language
- Generate interactive dashboards and static reports from Jupyter notebooks
- Perform data analysis and machine learning on Jupyter notebooks
Pre Requisites
- 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
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)