Learning SQL Opens the Door to the World of Computer Science and Data-Driven Technology
Whether you're just beginning to code or looking to expand your knowledge of computer science, learning SQL is an excellent choice.
SQL is easy to read and write, with a syntax that is more accessible than many procedural languages. This makes it one of the best foundational subjects for new coders. And because data plays a central role in nearly every industry, SQL skills are always in demand.
As a core technology in both legacy systems and cutting-edge innovations, SQL unlocks a lifetime of interdisciplinary opportunities—especially when learned early.
From data science and software engineering to business analysis, some of the world's most impactful careers begin with the foundational knowledge you'll gain in this SQL class. Don’t wait—enroll today!
Programming Robots with Coloring Markers
In this engaging class, students will discover that coding isn’t limited to screens and keyboards—it’s about creating solutions using logic, imagination, and precision.
Using Ozobots—small, sensor-equipped robots—students will learn to program by drawing color-coded patterns on paper with markers. This unique, hands-on approach introduces fundamental coding concepts while fostering essential 21st-century skills like problem-solving and computational thinking.
Class takeaway: a deeper understanding of how technology can be both creative and accessible.
(Must have access to Ozobots, coloring markers, and blank sheets of paper )*
Building & Publish Your Own Mobile App
In this advanced Thunkable course, students will build fully functional mobile apps using Thunkable’s intuitive drag-and-drop builder. They will learn to connect their apps to Google Sheets as a live database, enabling dynamic data storage and display. The course also covers adding subscription features for monetization and practical app business strategies
"Intellectual growth should commence at birth and cease only at death." — Albert Einstein
In this advanced Thunkable course, students will take their mobile app development skills to the next level. They will learn how to design and build fully functional apps using Thunkable’s drag-and-drop builder, focusing on clean layouts, interactive features, and smooth user experiences. Students will also integrate a live database by connecting their projects to Google Sheets as a third-party data source, enabling dynamic apps that store, update, and display real time database.
The course covers advanced features such as adding subscription models to potentially monetize apps, giving students practical insight into real-world app business strategies. Additionally, students will be provided with a step-by-step instruction on how to publishing their app on Google Play Store and the Apple App Store.
This class introduces students to the basics of robotics and coding using small, programmable robots called Ozobots. In this hands-on, interactive class, students learn to use color-coded markers before they pivot to block-based programming to give commands to their Ozobots, fostering skills in problem-solving, logical thinking, and creativity. This class includes challenges and activities where students guide their robots through mazes, complete tasks, or simulate real-world scenarios, making it a fun and engaging way to explore computer science concepts.
(Flexible schedule upon request)
In this unit, students will begin by learning the fundamentals of creating tables and inserting data into rows. They will also explore how to retrieve data using the SELECT statement in combination with the ORDER BY and WHERE clauses. In the second half of the unit, students will dive into aggregate functions, logical and arithmetic operators, and learn how to update existing data in a table.
(Schedule is flexible upon request)
In this level, students will deepen their SQL expertise by exploring advanced concepts such as stored procedures and case expressions. They will also be introduced to more powerful clauses and additional operators that streamline complex data manipulation tasks. Level 2 further equips students to work with larger datasets by covering subqueries and best practices for data maintainability.
(Flexible schedule upon request)
