Gemini for Data Science and Analytics

Modern data professionals face the constant challenge of cleaning messy datasets, writing complex queries, and building predictive models quickly. Gemini offers a powerful generative AI partner to streamline these workflows and unlock deeper insights from your data. This text-based course guides you through integrating Gemini into your daily data science and analytics workflows. You will transition from manual, time-consuming coding and data preparation to highly efficient, AI-assisted analysis. What you'll learn: Understand the foundational concepts of generative AI and how Gemini assists in data tasks; Apply prompt engineering techniques specifically optimized for generating clean SQL queries and Python code; Analyze complex datasets by using Gemini to explain code, debug errors, and suggest optimization strategies; Streamline data preparation workflows, including handling missing values and formatting modern dataframes; Generate clear, business-focused summaries and explanations of technical data findings. The course begins with the foundational principles of generative AI in data environments before moving into practical, step-by-step reading exercises where you will practice writing prompts for SQL generation, code debugging, and data interpretation. Designed for aspiring and practicing data analysts and data scientists who want to integrate AI assistance into their work, this program requires no prior experience with Gemini or generative AI tools. Start reading today to transform your analytical workflow with the power of Gemini.