[100% OFF] Complete SQL Bootcamp with AI: SQL for Data Analysis

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.