This training is designed to equip learners with the skills needed to efficiently manage, analyze, and automate data processes using SQL and automation tools. It combines foundational SQL knowledge with practical automation techniques to streamline data workflows.
Who Should Attend
- Data analysts and business analysts
- Database administrators
- Aspiring data engineers
- Professionals interested in automating repetitive data tasks
Learning Objectives
By the end of this training, participants will be able to:
- Write advanced SQL queries to retrieve, manipulate, and analyze data.
- Understand database structures and relationships.
- Automate data extraction, transformation, and loading processes.
- Integrate SQL with automation tools to reduce manual work.
- Generate automated reports and dashboards for decision-making.
Course Modules
Module 1: SQL Fundamentals
- Introduction to databases and SQL
- Data types and table structures
- Basic queries: SELECT, WHERE, ORDER BY
- Aggregate functions: COUNT, SUM, AVG
- JOIN operations: INNER JOIN, LEFT JOIN, RIGHT JOIN
Module 2: Advanced SQL
- Subqueries and nested queries
- Views and indexes
- Stored procedures and functions
- Data manipulation: INSERT, UPDATE, DELETE
- Handling NULLs and data anomalies
Module 3: Introduction to Automation
- Understanding automation in data workflows
- Introduction to automation tools (e.g., Python, Power Automate)
- Scheduling tasks and triggers
- Connecting databases to automation scripts
Module 4: SQL + Automation Integration
- Automating data extraction from multiple sources
- Transforming and cleaning data automatically
- Loading data into dashboards or reports
- Error handling and logging in automated workflows
- Real-life examples of automated reporting
Module 5: Practical Projects
- Build a fully automated reporting system
- Automate daily/weekly data extraction and analysis
- Create automated alerts for data thresholds
- End-to-end SQL automation case study
Benefits of This Training
- Save time by reducing manual database tasks
- Improve data accuracy with automation
- Develop skills highly sought after in data-driven organizations
- Gain hands-on experience with real-world datasets
Tools Covered
- SQL Databases: MySQL, PostgreSQL, or SQL Server
- Automation Tools: Python scripts, Power Automate, or other workflow automation platforms
- Reporting Tools: Excel, Power BI, or Google Data Studio
Duration
- Beginner to advanced: 20–25 hours
- Flexible pace with hands-on exercises
Certification
Participants completing the course will receive a Certificate of Completion demonstrating proficiency in SQL and automation.