### Course Overview
- **Course Title:** Certified SQL & Databases for Data Science
- **Instructor:** Muhammad Shafiq (Data Scientist | AI & ML Engineer | Lecturer | Researcher)
- **Target Audience:**
- Beginners and intermediate analysts
- Aspiring data scientists
- Professionals seeking SQL certification
- **Prerequisites:**
- Basic understanding of databases (recommended)
- Familiarity with programming concepts (helpful but not required)
### Curriculum Highlights
- **Key Topics Covered:**
- **Relational database theory** (primary keys, foreign keys, normalization)
- **Complex joins, subqueries, and CRUD operations**
- **Analytical SQL** (CTEs, ROLLUP, CUBE, window functions)
- **Database management** (indexing, views, stored procedures)
- **SQL-Python integration** (Psycopg2, SQLAlchemy, Pandas)
- **Performance tuning and query optimization**
- **Real-world case studies** (A/B testing, funnel optimization, cohort segmentation)
- **Key Skills Learned:**
- Writing high-performance SQL queries for data science
- Optimizing database interactions for large datasets
- Integrating SQL with Python for ETL and analysis
- Applying SQL to solve data science problems
### Course Format
- **Duration:** Self-paced (3 practice tests included)
- **Format:** Online (video lectures, hands-on exercises)
- **Resources:**
- Mobile access
- Downloadable datasets and case studies
- Certification preparation materials
### Special Offer (If Applicable)
- **Limited Time Coupon Code:** N/A
