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최종편집 : 2018.7.19 목 12:12
Campus NewsCampus News
2018 Winter Statistics Workshop!
Kim Yeun-soo  |  lucy0815@cau.ac.kr
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승인 2018.03.03  23:46:56
트위터 페이스북 미투데이 요즘 네이버 구글 msn

            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
 
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