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Complete SQL Bootcamp with AI: SQL for Data Analysis
Highest Rated
New
Rating: 4.9 out of 5(16 ratings)
36 students

Complete SQL Bootcamp with AI: SQL for Data Analysis

Master SQL for data analysis, use AI to write and troubleshoot queries, and complete real-world portfolio projects.
Created byCheena Sharma
Last updated 8/2026
English
English [Auto],

What you'll learn

  • Write SQL queries from beginner to advanced level to retrieve, filter, transform, and analyze data from relational databases.
  • Master joins, subqueries, aggregate functions, CASE statements, window functions, and other essential SQL concepts
  • Use ChatGPT and AI tools to write, understand, debug, improve, and optimize SQL queries while validating AI-generated results.
  • Solve real-world business and data problems using SQL through practical exercises, hands-on scenarios, and projects.
  • Prepare for SQL interviews with practical queries, commonly asked SQL problems, and real-world problem-solving scenarios
  • Build SQL skills applicable to Data Analysts, Business Analysts, QA/Testers, BI professionals, developers, and other data-driven roles.

Course content

4 sections • 24 lectures • 5h 0m total length

  • Introduction3:11
  • Understanding Clauses (Select and from)12:48
  • Understanding Where Clause13:34
  • Database Installation10:30
  • Creating database1:37
  • Arithmetic Operator10:00
  • Concatenation, Logical and Comparison operator24:21
  • Set Operators8:26
  • General Operators and Handling Nulls14:18

Requirements

  • No prior SQL, database, or programming experience is required. This course starts from the fundamentals and progresses to advanced SQL.
  • A computer with internet access and a willingness to practice hands-on SQL exercises are all you need to get started.
  • No previous AI experience is required. You will learn how to use ChatGPT and AI effectively alongside SQL.

Description

Learn SQL for Data Analysis ,business Analysis, Software testers and discover how to use AI tools to work faster, solve problems, and become a more effective Data Analyst.

SQL remains one of the most important skills for anyone working with data. But today's Data Analysts also need to understand how to use AI effectively—not as a replacement for SQL knowledge, but as a powerful assistant for writing, understanding, debugging, and improving queries.

This hands-on course takes you from SQL fundamentals to advanced data analysis techniques, while showing you how tools such as ChatGPT and AI assistants can support you throughout the analytical workflow.

Whether you're an aspiring Data Analyst, transitioning into data analytics, or already working with data and want to strengthen your SQL and AI skills, this course is designed to give you practical, job-relevant experience.

Who This Course Is For

This course is ideal for:

  • Aspiring Data Analysts

  • Beginners learning SQL

  • Students preparing for Data Analyst careers

  • Business Analysts who work with data

  • Professionals transitioning into Data Analytics

  • Excel or Power BI users who want to learn SQL

  • Existing Data Analysts who want to improve their SQL skills

  • Professionals who want to incorporate ChatGPT and AI into their data-analysis workflow


  • What this course Teaches

  1. SQL specifically for data analysis

  2. AI-assisted SQL development

  3. Realistic business questions

  4. Food-delivery data analysis project

  5. Portfolio-ready assignments

  6. Query troubleshooting with AI

  7. Interpretation and presentation of results

  8. Applications for Data Analysts, Business Analysts and QA professionals

Learning Outcomes

  • Write SQL queries to extract, filter, join and analyze business data

  • Use AI tools to plan, explain, optimize and troubleshoot SQL queries

  • Analyze realistic datasets and convert business questions into SQL solutions

  • Complete hands-on projects suitable for a data analysis portfolio

No previous SQL experience is required.

By the end of the course, you'll have a strong foundation in SQL, experience solving practical data-analysis problems, and a clear understanding of how to combine SQL + AI + analytical thinking for modern Data Analyst work.

Who this course is for:

  • Aspiring and working Data Analysts who want strong SQL skills for querying, analyzing, and interpreting business data.
  • Business Analysts who want to independently retrieve and analyze data and work more effectively with technical and data teams.
  • QA Engineers and Software Testers who use SQL for database testing, backend validation, test-data verification, and troubleshooting.
  • BI professionals, reporting analysts, developers, students, and other professionals who want practical SQL and AI-assisted querying skills.
  • Beginners and career changers who want to learn SQL from scratch and build a job-relevant skill used across multiple technology and data roles.

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