Data Science & AI
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Data Engineering
The Complete Data Lakes Bootcamp
Go from fundamentals to job-ready Data Lakes skills
By Vivek Anand
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Intermediate
English
0 learners
What you'll learn
- Understand the core concepts of Data Lakes and how they fit together
- Build hands-on projects using Data Lakes that you can add to your portfolio
- Apply Data Lakes to solve real, practical problems in Data Science & AI
- Follow industry best practices and avoid common Data Lakes mistakes
- Gain the confidence to use Data Lakes at work and in interviews
Skills you'll gain
Data Lakes
Practical Projects
Debugging
Best Practices
Problem Solving
Data Engineering
About this course
Want to get genuinely good at Data Lakes? 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. Vivek Anand guides you step by step through Data Engineering, focusing on the skills employers actually look for. Finish ready to put Data Lakes on your resume and use it with confidence.
Curriculum
Getting Started
- Welcome and what you'll build video · 13:00 ▶ Free preview
- Data Lakes in 10 minutes video · 14:00 ▶ Free preview
- Your first Data Lakes walkthrough video · 15:00
- Hands-on exercise video · 16:00
Core Concepts
- 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
Hands-On Practice
- Performance and optimisation video · 15:00
- Testing your work video · 16:00
- Welcome and what you'll build video · 17:00
Building Real Projects
- Welcome and what you'll build video · 10:00
- Data Lakes in 10 minutes video · 11:00
- Your first Data Lakes walkthrough video · 12:00
- Hands-on exercise video · 13:00
Going Deeper
- 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