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SQL for Business Analysts: Practical SQL for Data Analysis

A professional SQL training for business analysts focused on using SQL for data analysis, reporting, and decision-making, while understanding business requirements, SDLC fundamentals, and data validation through hands-on practice.

Target Audience

  • Business analysts working with reports and data

  • Aspiring business analysts and career switchers

  • Professionals using Excel who want to move into SQL-based analysis

  • Reporting and operations analysts

  • Sales, marketing, and finance professionals analyzing data

  • Product owners and project coordinators

  • Non-technical professionals supporting data-driven decisions

  • Teams adopting SQL for business reporting and analytics

Highlights

  • Learn SQL fundamentals tailored for business analysis and reporting

  • Instructor-led training with hands-on assignments and guided practice

  • Write SQL queries to analyze business data and KPIs

  • Join and aggregate data for real-world reporting scenarios

  • Apply SQL to support dashboards and decision-making

  • Understand business analysis fundamentals and SDLC concepts

  • Validate and test data accuracy using SQL

  • Build confidence using SQL in day-to-day analyst roles

Overview

SQL for Business Analysts: Practical SQL for Data Analysis is a business-focused, beginner-level course designed to help analysts and non-technical professionals use SQL confidently for reporting, analysis, and data-driven decision-making. The course emphasizes practical SQL skills that business analysts need in real-world projects, without requiring prior programming or database experience.

Learners begin by understanding relational database concepts and SQL fundamentals, using SQL Server and SQL Server Management Studio (SSMS) as the learning environment. The training then focuses on writing SQL queries to retrieve, filter, join, and summarize data for common business scenarios such as sales analysis, financial reporting, and operational metrics.

As the course progresses, learners apply SQL to support business decision-making by generating KPIs, analytical queries, and reports that feed dashboards and insights. The course also introduces core business analysis concepts, including the role of a business analyst, SDLC fundamentals, and requirements gathering and documentation.

To round out real-world readiness, the training includes an introduction to manual QA and data validation concepts, showing how SQL is used to verify data accuracy and support testing efforts. By the end of the course, learners will be able to use SQL as a practical tool to analyze data, support business decisions, and collaborate effectively with technical teams.

Prerequisite

To successfully complete SQL for Business Analysts: Practical SQL for Data Analysis, learners should have:

  • Basic computer literacy and familiarity with using a PC or laptop

  • Comfort working with spreadsheets or reports

  • Basic understanding of business concepts and KPIs (helpful but not required)

  • Interest in data analysis, reporting, and decision-making

  • No prior SQL, database, or programming experience is required

Outcomes

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

  • Understand relational database concepts and SQL fundamentals

  • Write SQL queries to retrieve, filter, and join data for business analysis

  • Use aggregate functions to generate summaries, KPIs, and metrics

  • Analyze data to support sales, finance, and operational decisions

  • Create reports and analytical queries for dashboards and insights

  • Apply SQL to validate data accuracy and support testing efforts

  • Understand the role of a business analyst within data-driven projects

  • Communicate data requirements and insights effectively with technical teams

Job Roles

This course prepares learners for roles that require using SQL for analysis, reporting, and business decision-making. After completing the training, learners will be better prepared for positions such as:

  • Business Analyst

  • Data Analyst

  • Reporting Analyst

  • Operations Analyst

  • Sales Operations Analyst

  • Marketing Analyst

  • Financial Analyst (SQL-Focused)

  • Product or Program Analyst

Curriculum

Module 1: Introduction to Databases and SQL

  • Understanding relational databases and their structure

  • Overview of SQL and how it is used in business analysis

  • Installing SQL Server and working with SQL Server Management Studio (SSMS)

Module 2: Querying and Managing Data with SQL

  • Creating tables and understanding data types

  • Writing SELECT queries to retrieve business data

  • Filtering data using WHERE and sorting results with ORDER BY

  • Joining multiple tables for business reporting

Module 3: Aggregations, Subqueries, and Data Analysis

  • Using aggregate functions and GROUP BY for summaries

  • Writing subqueries and aggregate queries

  • Applying SQL for deeper business data analysis

Module 4: Data Modification and Integrity

  • Using INSERT, UPDATE, and DELETE statements

  • Managing data integrity using constraints

  • Creating and using views for simplified analysis

Module 5: SQL for Business Decision-Making

  • Using SQL to calculate business metrics and KPIs

  • Generating reports for sales, finance, and operations

  • Writing analytical queries to support dashboards and insights

Module 6: Business Analysis Fundamentals

  • Role of a business analyst in data-driven projects

  • Overview of SDLC and project lifecycle

  • Requirements gathering, analysis, and documentation

Module 7: Introduction to Manual QA and Data Validation

  • Basics of software testing and QA processes

  • Validating data accuracy using SQL queries

  • Supporting testing and reporting with SQL

Module 8: Practical Case Studies and Review

  • End-to-end SQL exercises for business scenarios

  • Applying SQL to real-world analysis problems

  • Course review and best practices

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Demand for This Course

As organizations increasingly rely on data to guide business decisions, there is strong demand for business analysts who can directly access, analyze, and interpret data using SQL. While dashboards and BI tools provide summarized views, analysts are often required to write SQL queries to explore data, validate results, and answer ad-hoc business questions.

Across industries such as finance, healthcare, retail, marketing, operations, and technology, SQL has become a foundational skill for business analysts, reporting analysts, and operations teams. Professionals who can query databases independently are better equipped to generate insights, identify trends, and support faster, more accurate decision-making.

This course directly addresses the growing need for:

  • Business analysts who work with data but lack formal SQL training

  • Professionals transitioning from Excel-based analysis to database-driven reporting

  • Teams responsible for generating KPIs, metrics, and operational reports

  • Organizations seeking to improve data literacy across business functions

  • Analysts who need to validate data and support testing efforts

  • Enterprises adopting SQL-based analytics and reporting tools

By equipping learners with practical SQL skills tailored for business analysis, this course helps close the gap between raw data and actionable insights. Learners gain the confidence to work directly with databases, collaborate effectively with technical teams, and make informed, data-driven business decisions.