Welcome to the “Introduction to Jupyter Notebook” course. This free course, designed for beginners, takes approximately 45 mins to complete and provides a foundational understanding of Jupyter Notebook. No prior knowledge of the subject is required.
This course will help you to:
- Understand what Jupyter Notebook is and its key features and benefits.
- Navigate the Jupyter Notebook interface with ease.
- Use notebook cells effectively, including writing and executing code and using Markdown for documentation.
- Perform basic operations, including running and debugging code and using keyboard shortcuts.
- Collaborate and share notebooks efficiently, leveraging best practices.
- Organise your notebooks and troubleshoot common issues.
By the end of this course, you will be well-prepared to interact with Jupyter Notebooks confidently, setting a strong foundation for more advanced data analysis and visualisation courses.
TO ENROL - use the key "CSData"
This course is part of the “Data Analysis and Visualization” learning path, which includes the following courses:
- Introduction to Jupyter Notebooks
- Introduction to Python
- Introduction to NumPy
- Introduction to Pandas
- Data visualization in Python
These courses are designed to be taken in sequence to build a solid foundation in data analysis and visualization.