Udemy - 2026 SQL Programming with ChatGPT - Modern Analyst Workflow

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Type: Tutorials
Language: English
Total Size: 4.1 GB
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Last checked: Feb. 10th '26
Date uploaded: Feb. 10th '26
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2026 SQL Programming with ChatGPT: Modern Analyst Workflow

https://WebToolTip.com

Published 1/2026
Created by Jed Guinto
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 43 Lectures ( 4h 40m ) | Size: 4.1 GB

Accelerate Your SQL Programming Using Modern AI With ChatGPT And Work Like A Professional Data Analyst

What you'll learn
✓ Learn core SQL syntax and structure used by analysts, engineers, and data scientists in real professional environments.
✓ Write clean SELECT queries with filtering, sorting, aggregation, joins, unions, and conditional logic.
✓ Understand how to break business questions into logical SQL steps before writing any query.
✓ Use ChatGPT correctly to generate, explain, refine, and debug SQL without blindly copying results.
✓ Teach ChatGPT your dataset and requirements to receive accurate, relevant SQL solutions.
✓ Iterate SQL scripts in stages to solve complex problems like professionals do in real jobs.
✓ Analyze datasets using aggregations across levels, time periods, and categories.
✓ Generate formatted reports and summaries directly from SQL using AI-assisted workflows.
✓ Handle scenarios where data is incomplete or does not yet exist using reasoning-first design.
✓ Build confidence solving real-world SQL problems with modern, AI-powered analyst workflows.

Requirements
● No prior SQL experience is required; beginners are guided step-by-step from core fundamentals.
● Basic computer skills such as navigating files, folders, and software applications.
● Access to a computer or laptop with an internet connection.
● Willingness to learn SQL concepts and practice problem-solving using real examples.
● Access to ChatGPT (free or paid) to follow AI-assisted nstrations and exercises.
● Ability to install or access online SQL tools and datasets provided in the course.
● Basic understanding of data tables, rows, and columns is helpful but not mandatory.
● Curiosity about how modern analysts use AI tools to work faster and more effectively.