Course Overview
Course Overview
SQL for Business Intelligence Training Program (10 days) SQL is the backbone of modern business intelligence, providing the essential skills to access and analyze datasets directly. Organizations expect managers and analysts to independently query real datasets, validate assumptions, and uncover patterns without waiting for IT support. This expectation underscores the importance of SQL proficiency in the business environment. This program demystifies SQL, transforming it from a technical enigma into a practical business tool. You'll learn to write queries, clean and transform data, build reports, and support dashboards—no prior coding experience required. By focusing on real databases, real queries, and real decisions, you'll gain the autonomy needed to drive data-informed strategies and actions.
Intended Participants
- This program is tailored for professionals seeking to enhance their data analysis capabilities across various sectors.
- This program is designed for:
- Business analysts and data analysts
- Finance and operations professionals
- Monitoring and evaluation specialists
- Project and program officers
- NGO and development data users
- Supply chain and procurement analysts
- HR and workforce analysts
- IT support staff transitioning into BI roles
Learning Outcomes
- This program equips you with the skills to retrieve, analyze, and interpret data using SQL, supporting confident business decisions.
- By the end of this program, you'll be able to:
- Understand relational databases and SQL fundamentals
- Write queries to extract, filter, and sort data
- Join and combine data from multiple tables
- Clean, group, and summarize data for reporting
- Transform raw data into actionable insights
- Use SQL for KPIs, dashboards, and performance reporting
- Apply SQL to real business intelligence scenarios
- Build confidence working with enterprise-level data
Course Modules
Module 1: Introduction to SQL and Business Databases
- Why SQL matters for business intelligence
- Understanding relational data structures
- Tables, rows, columns, and keys
- Database tools and environments
- Common BI workflows powered by SQL
Module 2: Essential SQL Commands and Syntax
- SELECT, FROM, WHERE, ORDER BY
- Filtering and sorting data
- Basic operators and expressions
- Writing clean and readable queries
- Practice: first 10 SQL statements
Module 3: Working With Multiple Tables
- INNER JOIN, LEFT JOIN, RIGHT JOIN
- Foreign keys and relationships
- Merging datasets for insights
- Avoiding join errors
- Case practice: joining HR, finance, and project tables
Module 4: Aggregating Data for Reporting
- COUNT, SUM, AVG, MIN, MAX
- GROUP BY and HAVING
- Calculating KPIs from raw data
- Real-world performance reporting
- Practice: executive metrics queries
Module 5: Data Cleaning and Preparation in SQL
- Handling null values
- Removing duplicates
- CASE statements for categorization
- Data validation checks
- Practice: cleaning messy program data
Module 6: Advanced Query Techniques
- Subqueries and nested queries
- Window functions
- Common table expressions (CTEs)
- Ranking, running totals, lead/lag
- Scenario exercises: funding allocation and performance scoring
Module 7: Using SQL for Business Dashboards
- Feeding BI tools with SQL queries
- Power BI and Tableau integration context
- Query optimization basics
- Common dashboard data structures
- Interactive exercise: dashboard query walkthrough
Module 8: SQL for Financial and Operations Reporting
- Sales and revenue analytics
- Expense and budget monitoring
- Supply chain data queries
- HR and workforce performance examples
- KPI use cases
Module 9: Troubleshooting SQL Errors and Logic Gaps
- Common query mistakes
- Debugging and troubleshooting
- Query optimization thinking
- Peer review and query improvement
- Practice: fix broken queries
Module 10: Presenting Data Insights from SQL
- Translating queries into business language
- Visual output options
- Storytelling with data
- Defending and validating analysis
- Reporting templates