SQL for Data Analysis with Google BigQuery - Online Course

SQL for Data Analysis with Google BigQuery - Online Course

30-days Money-Back Guarantee

Learn the most important language for Data Science

Updated on Sep, 2026

Programming, Database and Design Development, SQL

Duration - 1.5 hours

Training 5 or more people ?

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This is NOT just another complicated course with unclear explanations or impractical examples for the job market.

This course IS a simple way for you to learn SQL (more specifically DQL, Data Query Language).

You don't need to have experience in Data or exact sciences to follow the entire course, which was designed with simple didactics and progressive modules so you can advance with confidence! To help you progress throughout the course, the modules will have exercises and quizzes to reinforce your knowledge.

Start exploring the field of Business Intelligence and Data Science today with ease. Even if you're already in the field, this is your opportunity to improve your skills with a new language.

The job market increasingly demands that various professionals have knowledge of data analysis! Learn to extract information from different databases to relate and create strategic analyses. Be prepared to quickly learn, in another course, how to create complete and customized dashboards without the difficulties and limitations of other tools.

Check out the detailed breakdown of what’s inside the course

Creative, innovative, entrepreneurial, and restless professional. Head in various startups focusing on Business Intelligence, Data Science, and Artificial Intelligence, with expertise in the key tools, languages, and processes in these fields.

I hold a degree in Electrical Engineering from Unicamp and Monash University in Melbourne, Australia. I also have a degree in Data Science from the Data Science Academy.

I love challenging myself and learning every day; I'm a typical problem solver. I've never been at a point in my career where I wasn't deeply involved in courses or dedicated to projects and challenges.

Today, I lead the Data Science department at a Home and Decor e-commerce.

I’m passionate about data and extracting relevant insights to help businesses thrive through complex analyses, dashboard creation, automations, and building Machine Learning models. I also enjoy participating in Kaggle competitions.

Feel free to send messages or suggestions. My goal is to make the lives of those interested in BI, Data, and AI easier and more productive!

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