Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
SQL for Data Analytics
Rating: 4.2 out of 5(14 ratings)
114 students

SQL for Data Analytics

MySQL, Relational database, Structured Query Language
Last updated 7/2025
English

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

Course content

5 sections21 lectures5h 15m total length
  • Introduction to Database Management Systems15:44
  • Installing MySQL17:38

    Install MySQL using the Windows installer for version 8.0.41, select components including server and workbench, configure with a strong root password, and verify the connection.

  • Exploring MySQL Workbench9:43
  • Relationship Diagram6:26

    Explore the enhanced entity-relationship diagram (EER) concepts, including subclasses, union types, constraints, and strong versus weak relationships, and learn to reverse engineer a database with MySQL Workbench.

  • SQL Datatypes and Constraints13:03

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