2025-12-18
Want to enhance your data insights and make more informed decisions? This lecture will guide you from theory to practice, equipping you with core data analysis capabilities in one go! The course content covers methodologies such as web scraping, statistics, and artificial intelligence, combined with hands-on practice to teach you how to build your own interactive dashboard.
Through raw data extraction, cleaning, and visualization, you will learn how to transform scattered information into valuable decision-making references, helping organizations enhance their analytical depth and work efficiency. We welcome teachers, colleagues, and students interested in data analysis to participate actively and open up new horizons for data application!
Topic: Data Analysis Theory Explanation Lecture Course
Introduction: The data analysis course combines theoretical explanations of methodologies (such as web scraping, statistics, artificial intelligence) with practical applications (such as building exclusive dynamic dashboards). It can help organizations transform raw web data into references that can assist in decision-making after data cleaning and visualization.
Speaker: Hao-Wei Hsu, Analyst