Complete Jupyter Guide
Data Science & AI › Python for Data Science

Complete Jupyter Guide

Learn Jupyter by building real things, step by step

By Anjali Rao ★ 0.0 (0 ratings) Intermediate English 0 learners

What you'll learn

  • Understand the core concepts of Jupyter and how they fit together
  • Build hands-on projects using Jupyter that you can add to your portfolio
  • Apply Jupyter to solve real, practical problems in Data Science & AI
  • Follow industry best practices and avoid common Jupyter mistakes
  • Gain the confidence to use Jupyter at work and in interviews

Skills you'll gain

Jupyter Practical Projects Debugging Best Practices Problem Solving Python for Data Science

About this course

Want to get genuinely good at Jupyter? This practical course in our Data Science & AI track takes you from the essentials to applied, real-world skills. You'll learn by building — not just watching — with downloadable resources and exercises throughout. Anjali Rao guides you step by step through Python for Data Science, focusing on the skills employers actually look for. Finish ready to put Jupyter on your resume and use it with confidence.

Curriculum

Getting Started

  • Welcome and what you'll build video · 16:00 ▶ Free preview
  • Jupyter in 10 minutes video · 17:00 ▶ Free preview
  • Your first Jupyter walkthrough video · 06:00
  • Hands-on exercise video · 07:00

Core Concepts

  • Common patterns in practice video · 11:00
  • Building the project — part 1 video · 12:00
  • Debugging and troubleshooting video · 13:00
  • Performance and optimisation video · 14:00
  • Testing your work video · 15:00

Hands-On Practice

  • Performance and optimisation video · 06:00
  • Testing your work video · 07:00
  • Welcome and what you'll build video · 08:00

Building Real Projects

  • Welcome and what you'll build video · 13:00
  • Jupyter in 10 minutes video · 14:00
  • Your first Jupyter walkthrough video · 15:00
  • Hands-on exercise video · 16:00

Going Deeper

  • Common patterns in practice video · 08:00
  • Building the project — part 1 video · 09:00
  • Debugging and troubleshooting video · 10:00
  • Performance and optimisation video · 11:00
  • Testing your work video · 12:00