Build tested, documented and maintainable analytics models for modern data teams. Built around guided practice, live feedback and an employer-style capstone, this program helps you turn new knowledge into work you can explain and demonstrate.
Analytics Engineering with dbt is designed for learners who want to move beyond passive tutorials and become confident applying build tested, documented and maintainable analytics models for modern data teams in realistic workplace situations.
The projects and interview-ready talking points are aligned to analytics, BI and modern data-team roles. You will practise explaining decisions, documenting work and presenting outcomes—the skills hiring teams look for beyond tool knowledge.
Upskillment's job-oriented curriculum follows a learn, practise, build and present model. Each stage introduces a workplace problem, guided lab, independent task and portfolio evidence so theory is repeatedly converted into demonstrable capability.
Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.
Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.
Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.
Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.
Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.
Live explanation, guided practice, a realistic workplace scenario and evidence you can add to your project story.
“The live troubleshooting sessions changed how I approach problems. I stopped memorising steps and started understanding the decisions behind them.”Daniel K.Cloud Support Engineer, Manchester
Earn an Upskillment Certificate of Completion after meeting attendance, project and assessment requirements. Your capstone is manually reviewed so completion reflects genuine participation.