SQL for managers, products and business leaders.

Unlock Your Data Potential with SQL: A Practical Introduction

Tired of waiting for IT or analysts to fulfill your data requests? Learn SQL and dramatically boost your productivity! This course provides a straightforward introduction to SQL, empowering you to quickly extract and work with valuable data. We focus on the essential SQL skills you need now, avoiding unnecessary programming complexities.

This course covers SQL basics crucial for data extraction and manipulation. Whether you're a data analyst looking to deepen your SQL knowledge or someone new to data analysis, this is the perfect starting point. Practice your skills on our platform, or request access to my Google BigQuery demo server for hands-on experience with a real database.

We'll explore not only the SQL code itself but also the SQL environment where you'll find it. I'll introduce you to Google BigQuery, a leading cloud-based database, giving you a solid foundation for understanding and applying SQL across various database systems and dialects. We'll then dive into practical analytic tasks, covering how to:

• Extract data efficiently
• Join data from multiple sources (including left, right, and full joins)
• Aggregate data to gain insights
• Utilize functions for data transformation
• Understand the difference between HAVING and WHERE clauses

We'll also address common typical errors and how to resolve them, and discuss important code style best practices.

Key topics covered:

• What is SQL? A clear explanation of the fundamentals.
• SQL Environment: Understanding where SQL is used.
• Basic SQL Queries: Writing your first SQL statements.
• Filtering Logic (WHERE): Mastering data selection.
• Aliases: Making your queries more readable.
• Typical Errors & Troubleshooting: Quickly resolving common issues.
• Joins (Left, Right, Full) & Aggregations: Combining and summarizing data.
• Functions: Performing calculations and data manipulation.
• HAVING vs. WHERE: Understanding the difference in filtering.

I'm an experienced data analytics professional with over 8 years of experience using SQL, R, Python, Excel, and BI tools. As a team lead, I've helped onboard new analysts and train teams to become more data-savvy. Let me help you become more data-savvy with this practical SQL course!