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 ForThis course is ideal for:Aspiring Data AnalystsBeginners learning SQLStudents preparing for Data Analyst careersBusiness Analysts who work with dataProfessionals transitioning into Data AnalyticsExcel or Power BI users who want to learn SQLExisting Data Analysts who want to improve their SQL skillsProfessionals who want to incorporate ChatGPT and AI into their data-analysis workflowWhat this course TeachesSQL specifically for data analysisAI-assisted SQL developmentRealistic business questionsFood-delivery data analysis projectPortfolio-ready assignmentsQuery troubleshooting with AIInterpretation and presentation of resultsApplications for Data Analysts, Business Analysts and QA professionalsLearning OutcomesWrite SQL queries to extract, filter, join and analyze business dataUse AI tools to plan, explain, optimize and troubleshoot SQL queriesAnalyze realistic datasets and convert business questions into SQL solutionsComplete hands-on projects suitable for a data analysis portfolioNo 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.