Data Science Tutorials

Explore different methods to list tables in an SQLite database using the command-line, SQL queries, and programming languages like Python and C.

Learn the basics of SQL stored procedures and how to implement them in different databases, including MySQL and SQL Server.

Learn how to build a homework checker using Microsoft's Phi-4 model, which validates solutions, provides detailed corrections, and suggests elegant alternatives.

Learn step-by-step techniques to handle INDEX MATCH with multiple criteria in Excel. Include helper columns to simplify your lookups, or else apply array formulas for complex data retrieval.

Learn how to optimize your coding workflow using the ChatGPT desktop app, with a focus on its integration with VS Code, the terminal, and Xcode.

Learn how to align large language models with user preferences using OpenAI's preference fine-tuning and direct preference optimization.

Learn how second normal form (2NF) can improve your database design by eliminating partial dependencies.

Gain confidence in OLS regression by mastering its theoretical foundation. Explore how to perform simple implementations in Excel, R, and Python.

Remove unnecessary spaces, including leading, trailing, and extra spaces, to keep your data clear. This guide covers TRIM(), SUBSTITUTE(), and CLEAN() functions, plus practical tips to ensure spreadsheets remain accurate and easy to work with.

Choose the right Python list reversal technique between reverse(), slicing, reversed(), and list comprehensions. Use these methods to tackle tasks like data sorting and sequence alignment.

Discover how to handle complex criteria in a single formula. Elevate your reporting in a way that saves time and effort and reduces mistakes.

Learn how to use the demand curve to reveal a relationship between price and quantity sold, and use this knowledge to guide smarter decisions in competitive markets. Explore methods to find the optimal price to maximize overall revenue.