SQL Mastery for Business Intelligence and Analytics Training Course

Introduction

Structured Query Language (SQL) is the foundation of modern business intelligence, enabling professionals to access, analyze, and transform data into actionable insights. For organizations that rely on data-driven strategies, SQL skills are indispensable in building queries, managing databases, and powering reporting systems. This training course is designed to equip participants with the SQL expertise needed to drive informed business decisions and enhance analytical capabilities.

By combining theory with practical exercises, this program takes participants from SQL fundamentals to advanced techniques tailored for business intelligence applications. Attendees will learn to write optimized queries, design and manage databases, create powerful reports, and integrate SQL with BI tools. With hands-on practice, they will gain the confidence to manage real-world data challenges, contributing directly to organizational efficiency and competitive advantage.

Duration: 10 Days

Target Audience

  • Business intelligence professionals
  • Data analysts and data scientists
  • Database administrators and developers
  • IT and software professionals in data-focused roles
  • Managers and decision-makers seeking data insights

10 Objectives

  1. Understand the role of SQL in business intelligence
  2. Learn SQL syntax, commands, and best practices
  3. Apply SQL for querying and data retrieval
  4. Develop skills in data manipulation and transformation
  5. Explore database design and management concepts
  6. Use SQL to create and manage views, functions, and procedures
  7. Optimize SQL queries for performance
  8. Integrate SQL with business intelligence tools
  9. Apply SQL in reporting and visualization contexts
  10. Explore advanced SQL features for analytics and decision-making

15 Course Modules

Module 1: Introduction to SQL and BI

  • Role of SQL in business intelligence
  • Overview of relational databases
  • SQL as a query language
  • Benefits of SQL for decision-making
  • Key applications in BI environments

Module 2: SQL Basics and Syntax

  • SQL structure and commands
  • SELECT statements for data retrieval
  • Filtering with WHERE clauses
  • Sorting with ORDER BY
  • Combining queries with DISTINCT

Module 3: Working with Data Types

  • Common SQL data types
  • Numeric, text, and date/time fields
  • Converting and formatting data types
  • Null values handling
  • Practical exercises with data types

Module 4: SQL Joins and Relationships

  • Inner, left, right, and full joins
  • Using joins to combine datasets
  • Self-joins explained
  • Cross joins and Cartesian products
  • Real-world BI join examples

Module 5: Aggregations and Grouping

  • COUNT, SUM, AVG, MIN, MAX functions
  • GROUP BY usage and best practices
  • Filtering groups with HAVING
  • Nested aggregation queries
  • Business reporting scenarios

Module 6: Subqueries and Nested Queries

  • Introduction to subqueries
  • Correlated vs. non-correlated subqueries
  • Using subqueries in SELECT, FROM, WHERE clauses
  • Benefits and limitations of subqueries
  • Practical BI case examples

Module 7: Data Manipulation Language (DML)

  • INSERT statements for new records
  • UPDATE for modifying data
  • DELETE for removing records
  • Transaction management basics
  • Ensuring data accuracy in BI workflows

Module 8: Data Definition Language (DDL)

  • Creating and altering tables
  • Defining primary and foreign keys
  • Index creation and usage
  • Constraints and their applications
  • Dropping database objects safely

Module 9: Views, Functions, and Procedures

  • Creating and managing SQL views
  • Benefits of using views in BI
  • Stored procedures for automation
  • User-defined functions
  • Reusable SQL code for efficiency

Module 10: Advanced SQL Functions

  • String functions and manipulations
  • Date and time functions
  • Mathematical and logical functions
  • Conditional logic with CASE
  • Combining functions for analytics

Module 11: Query Optimization Techniques

  • Identifying query bottlenecks
  • Indexing strategies for performance
  • Using execution plans
  • Best practices for efficient queries
  • Real-world optimization scenarios

Module 12: SQL for Reporting

  • Creating custom SQL reports
  • Using SQL for KPI measurement
  • Data extraction for BI dashboards
  • Formatting query results for reports
  • Case studies in SQL reporting

Module 13: SQL and BI Tools Integration

  • Connecting SQL with BI platforms
  • Using SQL queries in dashboards
  • Importing/exporting data between SQL and BI tools
  • Automating reporting workflows
  • Hands-on with integration exercises

Module 14: Security and Access Control

  • User roles and permissions
  • Securing sensitive data
  • Encryption and data privacy in SQL
  • Auditing database activity
  • Compliance considerations in BI

Module 15: Advanced Analytics with SQL

  • Window functions and analytics
  • Ranking and partitioning data
  • Time-series analysis with SQL
  • Complex BI scenarios with SQL queries
  • Preparing SQL for predictive analytics

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

 

Sql Mastery For Business Intelligence And Analytics Training Course in Mozambique
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