SQL for Data Analysts

SQL for Data Analysts is a practical online course that teaches you how to use SQL for real-world Data Analytics work. You will learn how to query, clean, join, aggregate, and interpret data with confidence using practical SQL workflows that support reports, dashboards, and business decisions.

Build Data Analytics Skills With Practical SQL Workflows

• Learn the SQL foundations analysts use to explore relational databases, tables, keys, and business data.
• Write clear SELECT queries, filter results, sort outputs, create calculated columns, and handle text, numbers, and null values.
• Build reliable metrics with aggregate functions, GROUP BY logic, CASE expressions, joins, set operations, subqueries, and common table expressions.
• Apply professional SQL for Data Analysts through debugging, validation, dashboard preparation, and an end-to-end business analysis capstone.

This course shows you how to query, clean, join, aggregate, and interpret data with confidence using practical SQL workflows.

In this SQL for Data Analysts course, you will start with the foundations of how analysts use SQL in Data Analytics projects. You will learn how relational databases are structured, how tables connect through keys, and how to write your first SELECT statements to retrieve the data you need.

As the course progresses, you will build the core querying skills required for everyday analysis. You will practice filtering rows with WHERE logic, sorting and aliasing results, creating calculated columns, and working accurately with text, numbers, and nulls so your outputs are easier to trust and explain.

You will then move into aggregation, metrics, and combining datasets. Lessons cover aggregate functions, grouped results, conditional CASE expressions, table joins, choosing the right join for the question, and comparing datasets with set operations. These skills help you turn raw records into meaningful summaries for Data Analytics reporting.

The course also covers analytical SQL patterns used in professional environments, including subqueries, common table expressions, date and time analysis, window functions, rankings, running totals, deduplication, cohorts, and funnel queries. You will learn how to structure your SQL so it is readable, reusable, and aligned with real business questions.

By the end of the course, you will be able to prepare data for reports and dashboards, debug and validate query results, and complete an end-to-end business analysis query. You will leave with stronger SQL for Data Analysts skills and the confidence to approach Data Analytics tasks with a practical, structured workflow.