SQL for Data Management Online Course

SQL for Data Management Online Course

This SQL mastery course builds a strong foundation in databases with a focus on MySQL, starting from the basics of SQL and environment setup to hands-on database design and data management. You’ll progress from simple queries to advanced concepts like filtering, sorting, grouping, functions, and JOINs, before exploring indexing and optimization for performance. Each module is practical and skill-driven, ensuring that by the end, you’ll have the confidence and expertise to handle real-world database challenges with MySQL.

Who should take the course?

This course is ideal for students, data analysts, database administrators, and business professionals who want to learn how to manage and organize data effectively using SQL. It’s well-suited for beginners with little to no prior database experience who are looking to build a strong foundation in querying, updating, and managing structured data. Whether you’re pursuing a career in data analytics, working with large datasets, or aiming to improve data-driven decision-making, this course will equip you with essential SQL skills for effective data management.

What you will learn

• Understand the fundamental concepts and roles of databases and SQL.
• Perform data manipulation tasks including inserting, updating, and deleting data.
• Construct basic and complex SQL queries for effective data retrieval.
• Apply sorting, grouping, and filtering techniques for data analysis.
• Utilize built-in functions and aggregates for advanced data operations.
• Implement various types of JOINs to link data across multiple tables.

Course Outline

SQL Fundamentals and Advanced Data Management

• Introduction to Databases and SQL
• Setting Up a MySQL Environment
• Creating Databases and Tables
• Inserting and Managing Data
• Basic SQL Queries: SELECT and FROM
• Filtering data with WHERE and Operators
• Sorting and Grouping Data
• Advanced Data Retrieval: Functions and Aggregates
• Understanding and Implementing JOINs
• Indexes and Optimization