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SQL for Data Analysis: Querying Databases Like a Pro

Learn the language of data. SQL is the universal key to unlocking insights from databases. This course will teach you how to write powerful queries to extract, aggregate, and analyze data from any relational database.

Who is this course for?

This course is for anyone who wants to work with data. SQL is a foundational skill for data analysts, backend developers, data scientists, and product managers. No prior database experience is required.

What You Will Learn:

  • Understand the fundamentals of relational databases and SQL.

  • Write SELECT statements to retrieve data from tables.

  • Filter and sort your results with precision using WHERE and ORDER BY.

  • Perform powerful aggregations with GROUP BY to summarize data.

  • Combine data from multiple tables using JOIN operations.

  • Use subqueries and Common Table Expressions (CTEs) to tackle complex problems.

Detailed Course Curriculum

Module 1: Introduction to SQL and Databases

1.1 What is a Relational Database? (Tables, Rows, Columns).

1.2 The Basic SQL Query: SELECT, FROM, LIMIT.

1.3 Filtering Data with WHERE and logical operators.

1.4 Sorting results with ORDER BY.

Module 2: Aggregate Functions and Grouping

2.1 Summarizing data with COUNT(), SUM(), AVG(), MIN(), MAX().

2.2 Grouping data with GROUP BY.

2.3 Filtering groups with the HAVING clause.

2.4 Case Study: Analyzing user activity.

Module 3: Joining Tables

3.1 Understanding Primary and Foreign Keys.

3.2 INNER JOIN: Finding matching records.

3.3 LEFT and RIGHT JOIN: Working with non-matching records.

3.4 Joining multiple tables to answer complex business questions.

Module 4: Advanced SQL

4.1 Subqueries: Nesting queries for multi-step logic.

4.2 Common Table Expressions (CTEs) for readable, modular queries.

4.3 String and Date manipulation functions.

4.4 Window Functions (A brief introduction).

Hands-on Project:

Project: Digital Music Store Analysis.

  • Using a database modeled after a music store (with tables for artists, albums, tracks, customers, and invoices), you will answer business questions by writing SQL queries.

  • Examples include: "Who are our top 10 best-selling artists?", "Which country spends the most on music?", and "Find the most popular music genre for each country."


Prerequisites:

  • None! This course starts from the very beginning.

Certification

Earn a Certificate of Completion powered by DigData — trusted by professionals, valued by employers, and aligned with real-world industry needs.

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