Over the years 1986~1990 at Stanford University, Keunkwan Ryu finished both Ph.D. in Economics and M.S. in Statistics. Right after finishing his Ph.D., he taught Economics at UCLA as Assistant Professor for 5 years until he returned to his alma mater Seoul National University in 1995. Since then, he has been with the Seoul National University for the past 23 years. His research interests include theoretical/applied antitrust issues, econometrics theoretical/applied econometrics, applied microeconomics, education, empirical/corporate finance, and empirical research on the Korean economy. He has published many papers, articles and book chapters and textbooks. His academic papers have appeared in journals like JASA, Journal of Econometrics, Review of Economics and Statistics. He often taught graduate econometrics courses at Stanford University as visiting Assistant, Associate, and Full Professor over the period 1998 through 2006. His research deals with many different kinds of data, including of course Big Data. He is currently Chairman, Department of Economics and Director, Institute of Economic Research, Seoul National University.
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Discover the fundamentals of statistics and delve into practical applications with 'Introductory Statistics: Analyzing Data Using Graphs and Statistics'. This course equips you with essential skills in data interpretation through graphing and statistical analysis, using compelling real-world examples to illustrate key concepts.
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Discover the fundamentals of sample surveys and statistical inference through practical examples in this introductory statistics course from edX. Gain insights into samples vs. populations, identify common survey biases, and understand probability errors in sampling to build a strong foundation for data analysis.
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Dive into the world of statistics with our Introductory Statistics course. Explore basic ideas and powerful instruments for Statistical Inference through engaging real-world examples. Gain a deep understanding of how to draw reliable conclusions about populations based on sample data.