Generative AI for Data Analysis

Data analysis is evolving rapidly as generative AI changes how we process information and derive insights. This course provides a clear path for data professionals to leverage AI-driven techniques to streamline their daily workflows and improve decision-making accuracy. You will transition from traditional manual processing to an AI-enhanced approach, learning how to use modern models to interpret complex datasets and generate high-quality code. By the end of this program, you will be able to use natural language to interact with data and produce sophisticated business intelligence outputs. What you'll learn: - Understand fundamental generative AI concepts and their specific applications in data science - Master prompt engineering techniques tailored for SQL generation and data transformation - Apply AI tools to automate repetitive data cleaning and preprocessing tasks - Analyze complex datasets to identify patterns and anomalies using large language models - Create compelling data narratives and automated reports for business stakeholders - Practice ethical AI usage by addressing data privacy and bias in automated analysis The curriculum begins with foundational terminology and core AI principles before moving into practical applications for data exploration, visualization, and predictive modeling. This course is designed for beginner data analysts and professionals looking to modernize their toolkit, with no prior AI experience required. Start building a smarter, AI-enhanced data workflow today.