During the winter vacation from January 24th to 31st, 2018 the Winter Statistics Workshop was held in Building 310, Room 410. The Research Center for Data Science proceeded the workshop. The course provided systematic training from the basics of R and SPSS to advanced statistical techniques from professors of the Department of Statistics at Chung-Ang University. Participants could choose the courses depending on their levels and interests. Each course was 60,000 won but CAU students and school personnel could get a 30% discount and 20% discount respectively. It was a great chance to explore data from a new and different point of view, not only from the automated analytical work.
Date | Time | Lecture/Professor | Contents |
1/24 | 09:30~12:30 | SPSS Basic StatisticsⅠ / Kim Yeong-hwa | Introduction of SPSS program/Data acquisition and conversion |
| 14:00~17:00 | SPSS Basic StatisticsⅡ/ Kim Yeong-hwa | Categorical data basic analysis/Successive data basic analysis |
1/25 | 09:30~12:30 | SPSS Variance AnalysisⅠ/Lim Chang-won | Statistical hypotheses/Cross analysis/T-test/One way analysis of variance |
| 14:00~17:00 | SPSS Variance AnalysisⅡ/ Lim Chang-won | Two-way analysis of variance/Mixed model/Analysis of covariance/Repeated measures of ANOVA |
1/26 | 09:30~12:30 | SPSS Regression AnalysisⅠ/Sung Byung -chan | Linear regression model/Regression diagnosis/ Qualitative independent variable/Expansion of regression model |
| 14:00~17:00 | SPSS Regression AnalysisⅡ/ Sung Byung -chan | Logistic regression model/Statistical hypothesis testing& conformity/Expansion of logistic model |
1/29 | 09:30~12:30 | Basic R/ Hwang Bum-suk | Introduction of R program/Data structure and transformation/Summary of materials |
| 14:00~17:00 | High-level R/ Hwang Bum-suk | Graph analysis/R programming/R function and conditional control statement |
1/30 | 09:30~12:30 | R Data MiningⅠ/Kim Won-guk | Training and test data/Cross-validation, LOOCV, Hold-out methods/Classification-Bayes classifier and naive Bayes classifier, KN |
| 14:00~17:00 | R Data MiningⅡ/ Kim Won-guk | CART and Random forest/SVM/Neural network |
1/31 | 09:30~12:30 | R Big Data AnalyticsⅠ/Lim Chang-won | Outline of big data/Text mining/Twitter text mining |
| 14:00~17:00 | R Big Data AnalyticsⅡ/Lim Chang-won | Sensitivity analysis/Twitter sensitivity analysis/Social network analysis/Twitter social network analysis |
Kim Yeun-soo
lucy0815@cau.ac.kr