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Ideal Workplace Solutions
NITA AccreditedIntermediatePhysical + Virtual10 daysMSDM

Training on Mastering SQL for Data Management

Master SQL for data management and extract valuable insights. Learn to query, manipulate, and analyze large datasets efficiently.

Next intake

20 Jul 2026 · Nakuru

View all dates

Duration

10 days

Live instruction

Delivery

Physical + Virtual

Cohort based

Level

Intermediate

Working professionals

Certification

NITA reimbursable

For Kenyan cohorts

Language

English

All materials

Overview

About this programme

This course provides a comprehensive introduction to SQL (Structured Query Language), the standard language for managing and manipulating databases. Participants will learn how to create, query, and maintain databases efficiently, utilizing SQL commands to handle data in various scenarios. The course covers fundamental concepts as well as advanced techniques, ensuring that participants gain the skills needed to manage large datasets, perform complex queries, and ensure data integrity. This course is ideal for professionals looking to enhance their data management capabilities or those entering the field of data analysis and database administration.

Course Duration

10 Days

Who Should Attend

  • Data Analysts and Data Scientists
  • Database Administrators
  • IT Professionals
  • Business Analysts
  • Software Developers
  • Anyone interested in learning SQL for data management and analysis.
Learning outcomes

What you'll walk away with

By the end of this course, participants will be able to:

  • Understand the fundamentals of relational databases and SQL.
  • Learn to write SQL queries to retrieve and manipulate data from databases.
  • Gain proficiency in creating and modifying database structures.
  • Develop skills to aggregate and summarize data using SQL functions.
  • Understand how to join tables to extract relevant information from multiple datasets.
  • Learn advanced SQL techniques for optimizing queries and managing large datasets.
  • Gain knowledge of data integrity and best practices for managing databases.
  • Understand how to use SQL in real-world scenarios, including reporting and data analysis.
  • Develop the ability to troubleshoot common SQL issues and errors.
  • Gain hands-on experience through practical exercises and real-world examples.
Course modules

What we cover, module by module

Module 1: Introduction to Databases and SQL

  • Database concepts: tables, records, fields, keys
  • SQL basics: SELECT, FROM, WHERE clauses
  • Data types and operators
  • Case Study: Managing customer records in a small business database
  • Practical: Write basic SQL queries to retrieve and filter data

Module 2: Data Manipulation with SQL

  • INSERT, UPDATE, and DELETE statements
  • Aggregate functions: COUNT, SUM, AVG, MIN, MAX
  • Grouping data with GROUP BY and HAVING clauses
  • Case Study: Updating and summarizing sales transactions in a retail database
  • Practical: Perform CRUD operations and aggregate analysis on a dataset

Module 3: Advanced SQL Queries

  • Joins: INNER, OUTER, self-joins
  • Subqueries and correlated subqueries
  • Common table expressions (CTEs)
  • Case Study: Combining multiple data sources for business insights
  • Practical: Write complex queries using joins, subqueries, and CTEs

Module 4: Database Design and Normalization

  • Entity-relationship diagrams (ERDs)
  • Database normalization principles (1NF, 2NF, 3NF)
  • Creating and altering tables
  • Case Study: Designing a normalized database for an e-commerce platform
  • Practical: Create ERDs and normalize a sample database

Module 5: SQL Functions and Stored Procedures

  • Built-in functions: string, numeric, date functions
  • User-defined functions and stored procedures
  • Indexes and performance optimization
  • Case Study: Automating business processes using stored procedures
  • Practical: Create and execute functions and stored procedures

Module 6: Database Security and Integrity

  • User management and permissions
  • Data encryption and protection
  • Constraints: primary keys, foreign keys, unique, check
  • Case Study: Securing sensitive data in a financial database
  • Practical: Implement constraints and manage database access

Module 7: SQL for Data Analysis

  • Window functions: RANK, DENSE_RANK, ROW_NUMBER
  • Analytical functions: LAG, LEAD, FIRST_VALUE, LAST_VALUE
  • Data analysis techniques using SQL
  • Case Study: Analyzing customer behavior using SQL analytics
  • Practical: Apply window and analytical functions to real datasets

Module 8: Database Performance Tuning

  • Query optimization techniques

  • Indexing strategies
  • Database administration best practices
  • Case Study: Improving slow query performance in a production system
  • Practical: Optimize queries and evaluate performance improvements

Module 9: SQL for Data Warehousing and Business Intelligence

  • OLAP vs. OLTP concepts
  • Data warehousing architecture
  • SQL for data cubes and reporting
  • Case Study: Building reports for business intelligence using SQL
  • Practical: Write queries for reporting and data aggregation

Module 10: Emerging Trends in SQL

  • SQL on big data platforms (Hadoop, Spark)
  • NoSQL databases and SQL integration
  • Cloud-based SQL databases
  • Case Study: Using cloud-based SQL solutions for scalable data systems
  • Practical: Explore SQL in a cloud or big data environment
Impact

Where the change lands

Organizational Impact

  • Improve efficiency and accuracy of data operations by enabling direct data access from databases.

  • Reduce time and effort spent on manual data extraction and preparation.

  • Foster a data-literate culture to uncover insights and make informed decisions with reliable data.

Personal Impact

  • Gain in-demand skills essential for modern business and IT careers.

  • Advance toward senior roles in data science, analytics, or database administration.

  • Contribute to organizational success with actionable, data-driven insights.

  • Build confidence to lead and champion data governance initiatives.

Dates and locations

Upcoming intakes

Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.

Full calendar
FAQs

Common questions.

Still not sure? Send us a note and a facilitator will get back to you within a business day.

The goal is to equip you with the skills to use SQL as a powerful tool for data management, enabling you to confidently query, manipulate, and maintain data in a professional and efficient manner.

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For corporate teams

Training 10+ professionals?

We deliver Training on Mastering SQL for Data Management in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.

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