18th Apr, 2026 At 02:00 PM
18th Apr, 2026 At 06:00 PM
4 Hours
No pre-recorded videos. Learn in real time with a practising Lead Data Engineer. Ask questions, get immediate answers, and work through exercises as a group.
Complete a hands-on project using the SalesLT practice database. Defend your work — explaining your approach and query logic just as you would in a real interview.
A full year of access to an Azure SQL database so you can continue practising long after the course ends. Everything is set up and ready from day one.
Comprehensive documentation covering every topic, plus practical exercises and lab activities to reinforce your learning during and after the sessions.
Stay on track with weekly one-hour group catchup sessions. Get help with your project, revisit tricky concepts, or ask follow-up questions.
Earn a CareerSwerve SQL Core certificate after successfully completing the course and defending your project. Proof of practical, verified ability.
SQL Core is the first step on the CareerSwerve SQL track. After completing this course, you can continue with SQL Applied — tackling subqueries, CTEs, window functions, and performance tuning. From there, SQL Professional takes you into stored procedures, dynamic SQL, and database design patterns. You can also combine SQL Core with Power BI Core as part of the Data Analytics Programme.
Emmanuel Edegbo is a highly experienced Lead Data Consultant with a strong track record of delivering data-driven solutions in complex, enterprise environments. With hands-on experience across analytics, data engineering, and cloud-based data platforms, Emmanuel has worked extensively with technologies including SQL, Python, data modelling, Databricks, Spark, and Microsoft Azure.
His professional background spans designing scalable data models, building robust data pipelines, and transforming raw data into actionable insights that support business decision-making. Emmanuel brings a practitioner’s perspective to learning, combining technical depth with real-world context drawn from working in high-impact, data-intensive organisations.
His experience cuts across manufacturing, retail, oil and gas, insurance, Ed-Tech, Insure-Tech, and government sectors.
As an instructor on CareerSwerve, Emmanuel is passionate about helping learners build practical, job-ready skills. His teaching style emphasises clarity, hands-on practice, and structured progression guiding learners from foundational concepts through to advanced, industry relevant applications. He is committed to empowering aspiring data and AI professionals to gain confidence, think critically, and succeed in today’s data-driven roles.
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