データ解析特論_E
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Instructor(s) |
Yukino Baba, Sho Tsugawa, Taizo Suzuki
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baba, s-tugawa, taizo (@cs) | |
URL | Course page at Manaba (https://manaba.tsukuba.ac.jp) will be used for distribution of materials |
Office hours | Please contact by mail. |
Cource# | 01CH738 |
Area | Common |
Basic/Advanced | |
Course style | Lecture + PC drills |
Term | FallAB |
Period | Thu 5, 6 |
Room# | 3B405 |
Keywords | Data analysis, Statistics |
Prerequisites | Probability and Statistics of undergraduate level. |
relation degree program competence | Knowledge Utilization Skills,Management Skills,Research Skills,Expert Knowledge |
Goal | |
Outline | This course will include lectures and drills using the R language regarding various techniques of data analysis. It will cover the basic theory, standard techniques and advanced methods developed recently. The course aims to prepare the attendee for interpretation, analysis and prediction using various data encountered in research. |
Course plan |
Weeks 1-4 (Suzuki) Week 1 : Introduction Week 2 : Estimation Week 3 : Principal Component Analysis (PCA) Week 4 : Correlation Analysis and Regression Weeks 5-7 (Baba) Week 5:Bayesian data analysis Week 6:Probability distributions Week 7:Practical models Weeks 8-10 (Tsugawa) Week 8: Network Analysis Week 9: Clustering Week 10: Data ranking and evaluation |
Textbook | |
References |
Rで学ぶデータサイエンスシリーズ(共立出版) Applied Predictive Modeling, Max Kuhn & Kjell Johnson,Springer,2013 StanとRでベイズ統計モデリング(共立出版) Doing Bayesian Data Analysis: A Tutorial Introduction with R, John Kruschke, Academic Press, 2014 |
Evaluation | Total score of the term papers assigned by the lecturers. |
TF / TA | |
Misc. | Every week, the first half will be devoted for lecture and the latter for drills using R. Please bring a notebook computer that can run a R-language environment. |