SQL for Data Analytics

MySQL, Relational database, Structured Query Language

What you'll learn
- Understand and execute SQL query
- Understand Database Structures and entity relationships
- Clean and transform data effectively
- Retrieve and manipulate data using SQL queries

Requirements
- No prior programming knowledge is required

Description
This hands-on course equips learners with practical skills to leverage SQL for data analytics using MySQL. Designed for beginners and intermediate users alike, the course focuses on writing efficient queries to explore, manipulate, and analyze data stored in relational databases.

Through guided exercises and real-world datasets, participants will learn to create and manage database objects, perform data cleaning and transformation, generate descriptive statistics, and build queries that extract actionable insights. Most sessions emphasize experiential learning, allowing students to practice and reinforce each concept directly in MySQL.

The course also introduces best practices for designing scalable data workflows and working with large datasets. Students will gain confidence in using advanced SQL features such as window functions, stored procedures, and indexing techniques. By the end of the course, learners will be able to confidently use SQL to solve analytical problems and support data-driven decision-making in business and research contexts.

Key Topics:

Introduction to relational databases and MySQL environment

Creating and modifying tables

Writing SELECT queries with filtering, sorting, and aggregation

Joining multiple tables

Subqueries and common table expressions

Data cleaning and preparation techniques in SQL

Generating reports and summaries

Advanced query optimization and performance tuning

Analyze the data and get insights for decision making

Error handling

Who this course is for:
- Beginners in SQL
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