Data Analyst with AI

The Data Analyst with AI course is a comprehensive, 30-module program designed to equip learners with in-demand data analysis and artificial intelligence skills. It begins with foundational knowledge, introducing data analysis, the role of analysts, and AI fundamentals. Learners then develop strong programming skills through Python, NumPy, and Pandas, followed by statistical analysis, data visualization using Matplotlib and Seaborn, and Excel for both basic and advanced tasks. The course further builds analytical proficiency through SQL (basic to advanced), exploratory data analysis (EDA), and AI integration via tools like Scikit-learn, AutoML, and TensorFlow. Business intelligence is covered through tools such as Power BI, Tableau, and AWS QuickSight, enabling learners to create interactive dashboards and cloud-based solutions. Specialized modules include natural language processing, time series analysis, anomaly detection, data cleaning, version control using Git, and building data pipelines. Practical application is emphasized through three real-time projects and a capstone project, where students create and deploy AI-powered BI platforms. The final module prepares learners for certifications like Microsoft DA-100 and AWS Data Analytics Specialty, ensuring they are industry-ready for roles in data and AI.