Level: Advanced
Duration: 12 Weeks (60–80 Hours)
Prerequisites:
· Intermediate SQL (SELECT, JOINs, GROUP BY, WHERE)
· Basic understanding of databases and data concepts
Target Audience:
Data Analysts, BI Analysts, Data Scientists, Backend Developers, Finance & Operations Analysts, professionals, System analysts, and data engineers
This course dives deep into advanced SQL techniques used in real-world data analysis. Learners will master complex queries, performance optimization, analytical functions, data modeling concepts, and SQL-based reporting. By the end, students will be able to analyze large datasets efficiently and produce business-ready insights using SQL alone.
By completing this course, learners will be able to:
· Write complex, optimized SQL queries
· Perform advanced analytical calculations using SQL
· Handle real-world messy data
· Optimize queries for large datasets
· Build SQL-based reports and dashboards
· Pass advanced SQL technical interviews
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Master Excel fundamentals to advanced analytics and automation.
Master advanced statistics, machine learning, deep learning, big data technologies, and MLOps.
Master SQL at scale, Python, ETL/ELT pipelines, data warehouses, big data frameworks, cloud platforms, and data orchestration tools