Data Science Tutorials

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 how to use the SQL REPLACE() function to find and substitute substrings in your database. Covers syntax, case sensitivity, character removal, NULL handling, and performance tips.

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.

Learn the application of the SQL LIMIT clause to filter data. Master the use of the LIMIT clause in PostgreSQL and MySQL databases.

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

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

The SQL IN operator allows you to filter query results to include only rows that meet specified conditions. Explore its full potential and alternatives.

Learn about memory management in Python with advanced techniques for coding memory-efficient classes. Explore practical exercises for optimal performance.