Course Overview:
Advanced SQL
This course focuses on SQL for business intelligence, data warehousing, predictive analytics, and cloud-based big data processing. Participants will learn to design analytical queries, optimize database performance, build dashboards, and apply machine learning concepts with SQL.
Advanced SQL
Course Objectives
By the end of this course, participants will be able to:
- Develop SQL queries for business intelligence & real-time reporting.
- Design & manage database schemas for analytical applications.
- Create performance dashboards & KPIs using SQL for visualization tools.
- Apply predictive & prescriptive analytics to real-world business
Advanced SQL Modules (Choose Specialty)
MODULE 1-Advanced Analytical SQL & Complex Queries
MODULE 2: SQL for Business Intelligence & Reporting
MODULE 2: SQL for Business Intelligence & Reporting
- Recursive Queries & Hierarchical Data (WITH RECURSIVE, CONNECT BY)
- Advanced Window Functions (FIRST_VALUE, LAST_VALUE, PERCENT_RANK)
- Lateral Joins & Cross Joins for Advanced Querying
- Combining & Comparing Large Datasets with INTERSECT, EXCEPT, UNION ALL
MODULE 2: SQL for Business Intelligence & Reporting
MODULE 2: SQL for Business Intelligence & Reporting
MODULE 2: SQL for Business Intelligence & Reporting
- Designing Analytical & Reporting Queries for Dashboards
- Optimizing Queries for Power BI, Tableau, and Google Data Studio
- Creating Business KPIs & Performance Metrics with SQL
- Writing Efficient Queries for Real-Time BI Reporting
MODULE 3: Data Warehousing & ETL Processes
MODULE 2: SQL for Business Intelligence & Reporting
MODULE 4: Database Security & User Management
- Understanding OLTP vs. OLAP Databases for Analytical Workloads
- Designing Fact & Dimension Tables for Data Warehousing
- Implementing ETL Pipelines with SQL for Data Integration
- Using Partitioning & Clustering for Large-Scale Data Processing
MODULE 4: Database Security & User Management
MODULE 5: Predictive & Prescriptive Analytics with SQL
MODULE 4: Database Security & User Management
- Role-Based Access Control (RBAC) & Permission Management
- Data Encryption & Masking for Security
- Protecting Databases Against SQL Injection & Other Attacks
- Auditing & Logging Database Activities
MODULE 5: Predictive & Prescriptive Analytics with SQL
MODULE 5: Predictive & Prescriptive Analytics with SQL
MODULE 5: Predictive & Prescriptive Analytics with SQL
- Using SQL for Statistical & Predictive Modeling
- Regression Analysis & Forecasting with SQL
- Detecting Anomalies & Outliers in Business Data
- Applying Machine Learning Concepts with SQL Queries
MODULE 6: SQL Performance Tuning & Optimization
MODULE 5: Predictive & Prescriptive Analytics with SQL
MODULE 5: Predictive & Prescriptive Analytics with SQL
- Advanced Indexing Strategies (Clustered vs. Non-Clustered Indexes, Covering Indexes)
- Using Materialized Views & Query Caching for Faster Performance
- Database Partitioning & Sharding for Scalability
- Managing Memory Usage & Optimizing Execution Plans
MODULE 7: Working with Big Data & Cloud SQL
MODULE 7: Working with Big Data & Cloud SQL
MODULE 7: Working with Big Data & Cloud SQL
- Introduction to SQL in Cloud Environments (AWS Redshift, Google BigQuery, Azure Synapse)
- Handling Large Datasets & Distributed SQL Processing
- Using SQL for Streaming Data & Real-Time Analytics
- Integrating SQL with NoSQL & Hybrid Databases
MODULE 8: Case Studies & Hands-On Projects
MODULE 7: Working with Big Data & Cloud SQL
MODULE 7: Working with Big Data & Cloud SQL
- Retail Analytics: Customer Behavior Prediction for Walmart
- Finance Analytics: Fraud Detection with SQL
- Healthcare Analytics: Predicting Patient Readmission Rates
- Marketing Analytics: A/B Testing & Campaign Performance Analysis
Course Expectations
Course Duration
14 hours (Flexible delivery: 2 hours per session over 8 weeks )
expected outcome
Students will be able to extract business insights, build dashboards, and support data-driven decision-making in analytics roles.
assessment
- Practical Exercises: Advanced SQL challenges after each module.
- Capstone Project: Design, optimize, and implement a complex database system for a real-world scenario.
Prerequisites
Completion of Intermediate SQL or equivalent experience, including advanced joins, subqueries, and query optimization.
Materials provided
- Access to a complex enterprise database for hands-on practice.
- Advanced SQL best practices guide.
- Performance optimization cheat sheet.
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