AI for Data Analysis for Beginners: ChatGPT, Excel, SQL

“This course contains the use of artificial intelligence”Master Excel, SQL, Power BI, ChatGPT & AI-Powered Analytics for Real-World Business IntelligenceIn today’s world, data is one of the most valuable business assets, and organizations everywhere are searching for professionals who can transform raw data into meaningful business insights. At the same time, Artificial Intelligence is revolutionizing data analysis, making analytics faster, smarter, and more automated than ever before.This course is designed specifically for beginners who want to learn modern data analysis using AI tools and business intelligence platforms — without needing advanced coding or technical experience.Throughout this hands-on course, you will learn how to analyze data using Excel, write analytical queries using SQL, build interactive dashboards in Power BI, and use ChatGPT and AI-powered tools to automate reporting, generate insights, clean data, and improve analytical productivity.You will start by understanding the foundations of data analysis, including different types of data, analytics workflows, and business KPIs. Then you’ll move into practical analytics skills such as:Cleaning and organizing datasetsUsing essential Excel functionsBuilding Pivot Tables and dashboardsWriting SQL queries for business reportingCreating visualizations and KPI dashboardsPerforming AI-assisted analysis with ChatGPTGenerating automated summaries and insightsUnderstanding Machine Learning fundamentalsBuilding simple predictive analytics workflowsExploring cloud analytics and modern business intelligence systemsThe course also introduces you to the future of analytics, including:AI copilots for analystsAutonomous analytics systemsAI-powered dashboard automationPredictive business intelligenceConversational analyticsCloud analytics platformsAI agents for business intelligenceUnlike traditional theory-heavy analytics courses, this course focuses on real-world business analytics workflows used in marketing, finance, operations, HR, and executive reporting environments. You will work with practical examples and learn how businesses actually use data to improve decision-making and operational performance.