Organize and analyze your data using AI-powered ORDER BY and GROUP BY queries. Learn to sort results, segment data, and extract key summarized metrics with aggregate functions like AVG, SUM, MIN, and MAX. You'll develop prompting skills to transform raw data into meaningful insights.

Sorting data

Ordering film titles

Ordering by likes

Ordering by multiple criteria

Grouping data

Grouping fields

Group and order fields

Summarizing data

Finding averages and totals

Minimum and maximum

Grouping and Summarizing Data with AI

Filter and refine your data with AI-generated WHERE clauses. Starting with comparison operators and logical conditions, you’ll explore pattern matching with wildcards and handle missing data scenarios. You’ll develop skills in crafting prompts that generate targeted queries to find the data you need.

Filtering with comparison operators

Filtering by certification

Finding short films

Counting top-rated films

Filtering multiple criteria

Selecting films by year and language

Filtering in or out

Filtering text

Matching text

Excluding titles

Searching for any case

Filter missing values

Films with missing data

Finding other missing values

Filtering Data with AI

Enhance your prompts and queries with AI-driven conditional logic and refined filtering techniques. Learn how to filter grouped data by applying conditions after aggregation with HAVING clauses, and create new categories by applying conditions within groups using CASE expressions.

Filtering grouped data

Prompts for grouped filtering

The `films` table contains 9 columns: `id`, `title`, `release_year`, `country`,  `duration`, `language`, `certification`, `gross`, `budget`. Duration is in minutes.

Tell our AI what to do, e.g. "Add comments to better explain the code"

Filtering averages

Filtering totals

Creating categories with conditional logic

Categorize film certifications

Classify film lengths

Conditional analysis

Categorize with aggregates

Counting films by budget range

Congratulations!

Conditional Logic with AI

Films

People

Reviews

Build on your SQL skills using AI prompts to generate queries. You'll learn to sort and group results systematically, uncovering meaningful patterns that drive informed business decisions. Through hands-on practice, you’ll develop expertise in writing prompts to generate SQL code. You’ll learn about conditional logic with SQL and apply various filtering techniques that form the foundation of effective data analysis.

<h2>Learn SQL with an AI Assistant</h2>
This comprehensive course helps you build your SQL skills using AI as your coding assistant. Built for learners looking to develop their SQL and AI skills, this course will teach you to write clear prompts that generate useful queries that help you explore and analyze your data. You'll gain practical experience organizing information, implementing filters, and applying conditional logic to answer business questions.
<h2>Sort and Summarize Your Data</h2>
You'll start by developing prompting strategies that guide AI assistants in implementing ORDER BY and GROUP BY operations to structure and categorize your data. You'll practice adding an analytical layer to your grouped results using aggregate functions like AVG, SUM, MIN, and MAX.
<h2>Filter and Refine Your Results</h2>
Next, you'll learn filtering techniques with WHERE clauses through AI-generated queries and explore comparison operators, logical conditions, and pattern matching with wildcards. You'll also handle missing data scenarios and craft prompts that generate targeted queries to find exactly what you need. By the end, you'll confidently combine AI assistance with your analytical thinking to tackle complex data challenges.

Introduction to SQL with AI

Build SQL skills by writing effective AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

Build SQL skills with AI to explore and analyze data

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

Intermediate SQL with AI

Filtering averages

Intermediate SQL with AI

Ejercicio interactivo práctico