Data Science Tutorials

Start from scratch and build end-to-end data pipelines in Snowflake by following this guide. We will cover the basics of building automated and efficient Snowflake pipelines.

Understand why atomicity is critical for database reliability. Learn how it works, see how it’s implemented across systems, and explore real-world examples like money transfers.

Learn how to use OpenAI's o4-mini API to build a research paper reviewer, enhanced with statistical tools for in-depth analysis.

Explore five practical examples of how to use OpenAI's o3 model within the ChatGPT application.

Follow this guide to understand data ingestion in Snowflake. This tutorial is perfect for those new to Snowflake or those who want a quick review of the functionality.

Learn about SQL injection, how it works, and how to protect your system from malicious attacks.

Learn to use OpenAI Codex CLI to build a website and deploy a machine learning model with a custom user interface using a single command.

Learn the Gaussian elimination algorithm through step-by-step examples, code implementations, and practical applications in data science.

Learn how to build an interactive application that enables users to search a code repository using keywords and use GPT-4.1 to analyze, explain, and improve the code in the repository.

Learn how to build and enhance pie charts using Python’s Matplotlib and Pandas libraries. Discover practical code examples and essential design tips to create clear, readable visuals.

Discover the essentials of SQL Server indexes to optimize your database queries. Learn how to implement and manage indexes effectively. Enhance your skills with practical examples and expert tips.

Learn to use Excel to calculate compound interest along with practical techniques and real-world applications to enhance your financial analysis skills.