Jupyter Notebooks are a popular tool for data analysis and scientific computing. They allow you to combine code, visualizations, and narrative text in one document. Below is an overview of the Jupyter Notebooks curriculum offered at our course center.
Introduction to Jupyter Notebooks
What are Jupyter Notebooks? Jupyter Notebooks are open-source web applications that allow you to create and share documents that contain live code, equations, visualizations, and narrative text. They are widely used in data science, machine learning, and research.
Why use Jupyter Notebooks? Jupyter Notebooks are versatile and powerful tools that can help you:
- Collaborate with others
- Keep track of your research and analysis
- Share your work with the world
Getting Started with Jupyter Notebooks
Setting up your environment Before you can start using Jupyter Notebooks, you need to set up your environment. This typically involves installing Python and Jupyter Notebook.
Creating your first notebook Once you have your environment set up, you can create your first Jupyter Notebook. In this notebook, you will learn how to:
- Write and execute code
- Add text and visualizations
- Save and share your notebooks
Advanced Topics
Data Analysis with Jupyter Notebooks Learn how to perform data analysis using Jupyter Notebooks. This includes:
- Data manipulation and cleaning
- Data visualization
- Statistical analysis
Machine Learning with Jupyter Notebooks Explore machine learning techniques using Jupyter Notebooks. This includes:
- Supervised and unsupervised learning
- Model evaluation and validation
- Hyperparameter tuning
Resources
For more information and resources on Jupyter Notebooks, please visit our Data Science Resources.