About this Course

\"GenAI for Data Analysts\" explores the revolutionary impact of Generative AI on data analysis. This course offers a comprehensive introduction to GenAI\'s capabilities and practical strategies for integrating these powerful tools into everyday data analysis tasks. Through discussions, video demos, and guided hands-on activities, you will learn how GenAI can enhance productivity in data preprocessing, pattern recognition, predictive analytics, and report generation. This course is designed for individual data analysts seeking to enhance their workflows with GenAI, team leads guiding their teams toward innovative practices, and aspiring data analysts aiming to future-proof their skills. It is also ideal for those looking to advance their careers by mastering GenAI applications in data science. Learners should have a basic understanding of data preprocessing, pattern recognition, and predictive analytics. Familiarity with common data storage and analysis tools (e.g., databases, data visualization software) and experience with programming languages (e.g., Python, R, SQL) are also required. An open mindset and eagerness to explore new technologies are essential. By the end of the course, you will be equipped to leverage GenAI for more efficient and innovative data analysis.

Created by: Coursera Instructor Network