Data Science

SQL for Data Analytics

Course Description

Become a master of the world's most popular data language with our SQL for Data Analytics course. In the era of Big Data, SQL remains the fundamental tool for communicating with databases and extracting the insights that power modern business.

This program is designed to take you from writing simple queries to crafting complex analytical solutions. You'll master MySQL and PostgreSQL, learning how to join multiple datasets, perform advanced aggregations, and use window functions to solve real-world analytical problems. We focus on teaching you how to think like a data analyst, ensuring you can translate business questions into efficient SQL code.

Our curriculum is built around hands-on practice. You'll work with large-scale datasets, exploring data structures, optimizing query performance, and preparing data for visualization tools like Power BI or Python.

Whether you're starting your career in data or looking to sharpen your technical skills, this course provides the essential database knowledge required for roles such as Data Analyst, Business Intelligence Engineer, or Data Scientist.

What you’ll learn
  • Database Fundamentals & Relational Model
  • Mastering the SELECT Statement: Filtering & Sorting
  • SQL Joins: Combining Data from Multiple Tables
  • Data Aggregation: GROUP BY & HAVING Clauses
  • Work with Subqueries & Common Table Expressions (CTEs)
  • Advanced Window Functions for Ranking & Trend Analysis
  • Data Cleaning & Transformation within SQL
  • Database Design: Normalization & Schema Planning
  • Query Optimization & Performance Tuning
  • Integrating SQL with External Data Tools

By the end of this course, you'll be confident in your ability to query large databases and extract actionable insights for any business scenario.

What is a Database? Intro to SQL Tools

20m 10s

The SELECT Statement: Getting Started

25m 10s

Filtering Data with WHERE, AND, OR, NOT

30m 10s

Inner, Left, Right and Full Outer Joins

45m 20s

Aggregate Functions: COUNT, SUM, AVG, MIN, MAX

40m 20s

Grouping Data & Applying Multi-level Aggregates

50m 30s

Subqueries and CTEs (Common Table Expressions)

55m 10s

Window Functions: ROW_NUMBER, RANK & LAG/LEAD

60m 03s

Advanced Data Case Logic with CASE WHEN

45m 00s

Indexes and Execution Plans

40m 20s

Best Practices for Clean and Readable SQL

35m 20s

Frequently Asked Questions

SQL (Structured Query Language) is the standard language for dealing with relational databases. It is essential for analytics because almost all corporate data is stored in relational databases, and SQL is the only way to efficiently extract and prepare that data for analysis.

We primarily use MySQL and PostgreSQL, as they are the most widely used open-source relational database management systems in the industry. The skills you learn will be applicable to other SQL dialects like SQL Server or Oracle.

No, SQL is very logical and readable, making it a great starting point for anyone entering the world of data. We start from the absolute basics of how databases work before moving into query writing.
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Master the Database
  • Duration 2 - 3 Months
  • Level Beginner to Advanced
  • Certificate Yes

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