Data still lives inside relational databases, and every analytics or AI workflow eventually depends on a clean SQL query. This program walks you through practical database fundamentals, business-focused data analysis, and query optimization, using live datasets instead of theory-only lessons. You'll also see how SQL fits into today's AI-assisted analytics stack, including natural-language querying, cloud warehouses, and BI dashboards, so the skills you build stay relevant on the job, not just in a classroom.
In this program, you will learn essential skills that are required to build strong foundation.
This course fits anyone who works with data or wants to, regardless of technical background.
Completing this course opens the door to a range of data-focused roles.
igmGuru brings structured, mentor-led learning built around real industry needs.
On completing the training, assignments, and capstone project, learners receive the igmGuru SQL for Data Science Certificate of Completion. The certificate reflects hands-on, project-based learning and can be added to your resume, LinkedIn profile, or professional portfolio to support job applications and internal upskilling requests.
No. The course starts from the basics of databases and SQL, so complete beginners can follow along comfortably.
The program runs for 32 hours, combining live instructor-led sessions with hands-on lab practice.
Yes. The curriculum is built around practical, job-relevant SQL skills, and the training includes resume and interview support to help you apply for analyst and data science roles.
Yes. Alongside core SQL skills, you'll get an overview of how AI-assisted querying and modern cloud data platforms are changing day-to-day analytics work.
Training is delivered using MySQL and SQL Workbench, with additional exposure to Python integration and BI-tool concepts.
No. Business analysts, developers, and working professionals who need strong data querying skills also benefit from this training.
Yes. You'll receive an igmGuru Certificate of Completion after finishing the course modules, assignments, and capstone project.
