Data Science Tutorials

Prompt chaining is a technique that involves breaking down a complex task into a series of smaller, interconnected prompts, where the output of one prompt serves as the input for the next, guiding the LLM through a structured reasoning process.

Find out all the new features and changes made in the NumPy 2.0 update.

Explore conditional formatting in Excel with simple to advanced examples and their best practices.

Learn how to use AWS Identity and Access Management (IAM) to secure your AWS environment, manage access with users, groups, and roles, and implement best practices for robust security.

Learn how to set up and configure your AWS account for the first time with this comprehensive tutorial. Discover essential settings, best practices for security, and how to leverage AWS services for data analysis and machine learning.

Time complexity is the measure of how an algorithm's runtime scales with input size, often expressed using Big-O notation, which provides an upper bound on the worst-case scenario.

Learn the application of the SQL REPLACE() function in text manipulation. Understand the use of the REPLACE() function in data cleaning and database management.

Learn how to use the SQL EXISTS() operator for subquery evaluation and filtering, complete with examples, best practices, and tips for optimizing your queries.

This tutorial guides you through DuckDB's key features and practical applications, including building tables, performing data analysis, building an RAG application, and using an SQL query engine with LLM.

We create data models by formatting data, creating relationships, using Power Query, and leveraging Power Pivot for seamless data integration and analysis.

The SQL BETWEEN operator helps filter values within specific ranges, enabling efficient data analysis. Discover its various applications and full potential.

Explore how the LAG() function allows you to access previous rows in your dataset, enabling time series analysis and comparisons of sequential observations.