BigQuery Masterclass
Data Science & AI Data Engineering

BigQuery Masterclass

A practical, project-based path to BigQuery in Data Engineering

By Preeti Nair 0.0 (0 ratings) Intermediate English 0 learners

What you'll learn

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

Skills you'll gain

BigQuery Practical Projects Debugging Best Practices Problem Solving Data Engineering

About this course

Want to get genuinely good at BigQuery? 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. Preeti Nair guides you step by step through Data Engineering, focusing on the skills employers actually look for. Finish ready to put BigQuery on your resume and use it with confidence.

Curriculum

Getting Started

  • Welcome and what you'll build video · 10:00 ▶ Free preview
  • BigQuery in 10 minutes video · 11:00 ▶ Free preview
  • Your first BigQuery walkthrough video · 12:00
  • Hands-on exercise video · 13:00

Core Concepts

  • Common patterns in practice video · 17:00
  • Building the project — part 1 video · 06:00
  • Debugging and troubleshooting video · 07:00
  • Performance and optimisation video · 08:00
  • Testing your work video · 09:00

Hands-On Practice

  • Performance and optimisation video · 12:00
  • Testing your work video · 13:00
  • Welcome and what you'll build video · 14:00

Building Real Projects

  • Welcome and what you'll build video · 07:00
  • BigQuery in 10 minutes video · 08:00
  • Your first BigQuery walkthrough video · 09:00
  • Hands-on exercise video · 10:00

Going Deeper

  • Common patterns in practice video · 14:00
  • Building the project — part 1 video · 15:00
  • Debugging and troubleshooting video · 16:00
  • Performance and optimisation video · 17:00
  • Testing your work video · 06:00