SQL for Data Analytics: Learn SQL, Queries, and Data Analysis Step-by-Step

By Progya Categories: SQL
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About Course

SQL for Data Analytics: Learn SQL, Queries, and Data Analysis Step-by-Step is a complete hands-on course designed to take you from absolute beginner to confident SQL user using MySQL.

In today’s data-driven world, SQL (Structured Query Language) is one of the most essential skills for data analysts, business analysts, and aspiring data scientists. This course is built to help you master SQL from scratch by focusing on real-world data analysis techniques instead of just theory.

You will start by learning how to install MySQL on both Windows and Mac, set up your environment, and load real datasets into your database. From there, you will gradually move into writing SQL queries, understanding how databases work, and performing data analysis using structured data.

Throughout the course, you will learn how to create, modify, and manage databases and tables. You will work with essential SQL commands such as SELECT, WHERE, DISTINCT, INSERT, DELETE, and DROP, which form the foundation of any SQL workflow. Each concept is explained step-by-step in a beginner-friendly way so that even someone with zero technical background can follow along.

As you progress, you will learn how to filter data using logical conditions such as AND, OR, and BETWEEN, and how to clean and transform data using functions like LOWER, UPPER, and REPLACE. These are critical skills for real-world data cleaning and preprocessing.

The course also covers powerful data analysis functions such as SUM, AVG, and COUNT, along with GROUP BY and ORDER BY to help you generate meaningful insights from raw data. You will also master SQL joins including INNER JOIN, LEFT JOIN, and RIGHT JOIN, which are essential for combining data from multiple tables.

By the end of this course, you will not just know SQL — you will be able to use SQL confidently for data analysis tasks, making you job-ready for roles in data analytics, business intelligence, and beyond.

This course is perfect for anyone who wants a practical, step-by-step approach to learning SQL with real datasets and real use cases.

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What Will You Learn?

  • Import and work with real-world CSV datasets to simulate practical data analytics scenarios.
  • Understand how to design, create, and manage databases and tables used in real business environments.
  • Write powerful SQL queries to extract, filter, and analyze data from large datasets efficiently.
  • Perform data filtering using real-world conditions and business logic to answer analytical questions.
  • Clean and transform raw data using SQL functions to make datasets analysis-ready.
  • Apply logical conditions and advanced filtering techniques to uncover meaningful patterns in data.
  • Analyze datasets using aggregation techniques to calculate totals, averages, and key business metrics.
  • Perform grouped data analysis to generate insights such as trends, category performance, and summaries.
  • Sort and organize data effectively to present clear and structured analytical outputs.
  • Combine multiple datasets using joins to perform relational data analysis like in real company databases.
  • Understand how to manipulate and update database structures for evolving data requirements.
  • Develop the ability to think like a data analyst by solving real-world data problems using SQL.
  • Gain practical experience that prepares you for roles in data analytics, business intelligence, and reporting.

Course Content

Setup and Data Preparation

  • Installing MySQL in Windows and Mac
  • Download necessary datasets
  • Loading CSV dataset in MySQL
    08:02

Database Management Fundamentals

Data Retrieval Basics

Table Creation and Manipulation

Filtering and Logical Operators

Data Transformation Functions

Joins and Relational Data Analysis

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