What You'll Learn

  • Installing and setting up Jupyter Notebook
  • Notebook interface and cell types (code, markdown)
  • Using different kernels (Python, R, others)
  • Markdown documentation and formatting
  • Interactive visualisations and output
  • Sharing and exporting notebooks

Course Modules

1

Getting Started with Jupyter

Installation, launching Jupyter, and navigating the interface.

2

Working with Code & Markdown

Writing code cells, markdown cells, and creating documentation.

3

Kernels & Advanced Features

Using Python and R kernels, magic commands, and extensions.

4

Sharing & Collaboration

Exporting to HTML/PDF, sharing notebooks, GitHub integration.

Tools & Technologies

Jupyter Notebook
Python Kernel
R Kernel
nbconvert

Career Relevance

Data Analyst

Useful for exploratory analysis and creating executable reports.

Data Scientist

Essential tool for research, prototyping, and experimentation.

Data Engineer

Helpful for testing data pipelines and validation workflows.

Prerequisites

  • Python or R installed on your computer
  • Basic programming knowledge (Python or R)
  • Pip or Conda installed for package management
  • Web browser with internet connection

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