统计学系系列讲座之323期

时　间：2018年10月23日（星期二）14:00--15:00

地　点：史带楼205室

主持人：黄达 博士 复旦大学管理学院统计学系

主　题：Writing Data-Driven Business Reports

主讲人：蔡知令 (Chih-Ling Tsai)　　Distinguished Professor of Management，University of California, Davis 

简　介：

Chih-Ling Tsai is Distinguished Professor and Robert W. Glock Endowed Chair of Management at the University of California, Davis. He is a recognized expert in the practical application of statistics in business, including regression analysis, model selection, high-dimensional data, time series and biostatistics. He has had more than 100 research papers published in academic journals relating to statistics, marketing, finance and biostatistics. He teaches courses on forecasting and managerial research methods, and time series analysis and forecasting. He has been Teacher of the Year for 15 times at the Graduate School of Management. Tsai earned a Ph.D. in statistics from the University of Minnesota and a M.S. in mathematics from the University of Illinois, Chicago Circle. He earned his B.S. in mathematics from Tamkang University (淡江大学). He has been Fellow of American Association for the Advancement of Science, Fellow of American Statistical Association, and Elected Member of International Statistical Institute. More information can be found at https://gsm.ucdavis.edu/faculty/chih-ling-tsai.

摘　要：

With the increasing importance of data analytics across business fields, employers expect a high level of proficiency in creating and delivering data-driven verbal and written communications on business topics. Hence, the ability to write a succinct and professional business report is invaluable for students and graduates of MBA, Business MS and Business PhD programs. Gaining the required skills to write a full-length business report takes solid discipline and real-life experience. In this talk, I share my experience and the insights that I have used in guiding my MBA students to write high-quality business reports. I hope this talk can benefit your students and their careers as well as your colleagues. 

                                                           统计学系 

2018-10-18