Discipline ID
97ac1514-598d-4ae9-af20-fdf75b940953
COURSE DETAIL
MULTIVARIATE TECHNIQUES FOR DATA ANALYSIS
Country
Spain
Host Institution
Carlos III University of Madrid
Program(s)
Carlos III University of Madrid
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
Business Administration
UCEAP Course Number
113
UCEAP Course Suffix
UCEAP Official Title
MULTIVARIATE TECHNIQUES FOR DATA ANALYSIS
UCEAP Transcript Title
MULTIVAR/DATA ANLS
UCEAP Quarter Units
5.00
UCEAP Semester Units
3.30
Course Description
This course offers an advanced study of business analytics techniques. Topics include: fundamentals of statistical software; multidimensional data; review of elements of statistics; simulation techniques; case studies. Students are expected to have completed coursework in statistics and math for economics.
Language(s) of Instruction
Host Institution Course Number
13179,13475
Host Institution Course Title
TÉCNICAS MULTIVARIANTES DE ANÁLISIS DE DATOS
Host Institution Campus
Getafe
Host Institution Faculty
Facultad de Ciencias Sociales y Jurídicas
Host Institution Degree
Grado en Administración de Empresas
Host Institution Department
Estadística
COURSE DETAIL
INTRODUCTION TO STATISTICS
Country
New Zealand
Host Institution
University of Auckland
Program(s)
University of Auckland
UCEAP Course Level
Lower Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
10
UCEAP Course Suffix
UCEAP Official Title
INTRODUCTION TO STATISTICS
UCEAP Transcript Title
INTRO TO STATISTICS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This is an introductory course in statistics intended for students in a wide variety of areas of study. Topics discussed include displaying and describing data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world. Students also have the opportunity to analyze data sets using technology in their weekly laboratory discussions.
Language(s) of Instruction
English
Host Institution Course Number
STATS 101
Host Institution Course Title
INTRODUCTION TO STATISTICS
Host Institution Campus
Auckland
Host Institution Faculty
Host Institution Degree
Host Institution Department
Statistics
COURSE DETAIL
INTRODUCTION TO ECONOMETRICS
Country
France
Host Institution
Institut d'Etudes Politiques (Sciences Po)
Program(s)
Sciences Po Paris
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
Economics
UCEAP Course Number
116
UCEAP Course Suffix
UCEAP Official Title
INTRODUCTION TO ECONOMETRICS
UCEAP Transcript Title
INTRO ECONOMETRICS
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
This covers the basics of data analysis needed in a Social Sciences oriented University like Sciences Po. The course begins at a level that assumes no prior knowledge about statistics. The objective is for students to understand and be able to interpret linear regression analysis. The course does not rely on math and statistics, but practical learning in order to teach the main concepts. In particular, the following topics are covered: introduction to R; working with data; linear regression; standard errors; multiple regression; categorial variables.
Language(s) of Instruction
English
Host Institution Course Number
BMET 25A01
Host Institution Course Title
INTRODUCTION TO ECONOMETRICS
Host Institution Campus
English Workshop
Host Institution Faculty
Host Institution Degree
Host Institution Department
Methodology
COURSE DETAIL
SAMPLE SURVEYS
Country
New Zealand
Host Institution
Victoria University of Wellington
Program(s)
Victoria University of Wellington
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
104
UCEAP Course Suffix
UCEAP Official Title
SAMPLE SURVEYS
UCEAP Transcript Title
SAMPLE SURVEYS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course provides an introduction to practical aspects of survey sampling. Topics include proposal writing, costing, non-sampling errors, rudiments of sampling theory, questionnaire design, fieldwork, basic analytic techniques, and report writing. This course is co-taught with STAT 392.
Language(s) of Instruction
English
Host Institution Course Number
STAT439
Host Institution Course Title
SAMPLE SURVEYS
Host Institution Campus
Wellington
Host Institution Faculty
Host Institution Degree
Host Institution Department
Statistics
COURSE DETAIL
INTRODUCTORY STATISTICS
Country
South Africa
Host Institution
University of Cape Town
Program(s)
Explore South Africa,University of Cape Town
UCEAP Course Level
Lower Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
10
UCEAP Course Suffix
UCEAP Official Title
INTRODUCTORY STATISTICS
UCEAP Transcript Title
STATISTICS
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This introductory statistics course develops a sense of numeracy and presents a number of principles and tools to support appropriate quantitative analysis. There is a strong emphasis on using Excel to perform calculations, to manipulate data, and also to demonstrate principles of statistics. Topics include statistical modeling; exploratory data analysis and summary statistics; probability theory; random variables; probability mass and density functions; binomial, Poisson, exponentials, normal, and uniform distributions; sampling distributions; confidence intervals; hypothesis testing; determining sample size; simple linear regression; and measures of correlation. Assessment: classwork (30%), final exam (70%).
Language(s) of Instruction
English
Host Institution Course Number
STA1000F/S
Host Institution Course Title
INTRODUCTORY STATISTICS
Host Institution Campus
Commerce
Host Institution Faculty
Host Institution Degree
Host Institution Department
Statistical Sciences
COURSE DETAIL
LINEAR REGRESSION
Country
China
Host Institution
Tsinghua University
Program(s)
Tsinghua University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
106
UCEAP Course Suffix
UCEAP Official Title
LINEAR REGRESSION
UCEAP Transcript Title
LINEAR REGRESSION
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
"Linear Regression" is a professional basic course for the undergraduates' probability and statistics in mathematics. Students are required to learn "Statistical Inference" in advance. The goal of the course is to learn how to perform simple linear regression, multiple regression analysis, regression diagnosis, goodness of fit test, data transformation, variable selection, and generalized linear model, and require correct calculation and interpretation of results, using statistical software R to obtain practical experience. At the same time, it is required to learn some basic theories in the regression.
Language(s) of Instruction
Chinese
Host Institution Course Number
40420814
Host Institution Course Title
LINEAR REGRESSION
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
Mathematics
COURSE DETAIL
CAUSALITY
Country
Denmark
Host Institution
University of Copenhagen
Program(s)
University of Copenhagen
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
106
UCEAP Course Suffix
UCEAP Official Title
CAUSALITY
UCEAP Transcript Title
CAUSALITY
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course introduces concepts and theories behind causal inference in order to predict and analyze a system’s behavior under manipulations. Topics include causal models versus observational models; observational distribution, intervention distribution, and counterfactuals; graphical models and Markov conditions; and identifiability conditions for learning causal relations from observational and/or interventional data. Working with graphs and graphical models, students derive causal effects, predict the result of interventional experiments, perform variable adjustments for computing causal effects, and gain an understanding of and ability to apply different methods for causal structure learning.
Language(s) of Instruction
English
Host Institution Course Number
NMAK17001U
Host Institution Course Title
CAUSALITY
Host Institution Campus
Host Institution Faculty
Faculty of Science
Host Institution Degree
Master
Host Institution Department
Department of Mathematical Sciences
COURSE DETAIL
STATISTICAL MODELING II
Country
United Kingdom - England
Host Institution
University of London, Queen Mary
Program(s)
University of London, Queen Mary
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
114
UCEAP Course Suffix
UCEAP Official Title
STATISTICAL MODELING II
UCEAP Transcript Title
STAT MODELLING II
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This course introduces generalized linear models, which can be used for modeling data such as binary data and count data, where a normal distribution would not be appropriate. These developments dramatically extend the range of problems that can be studied. The methods are implemented using R.
Language(s) of Instruction
English
Host Institution Course Number
MTH6134
Host Institution Course Title
STAT MODELING 2
Host Institution Campus
Queen Mary University of London
Host Institution Faculty
Host Institution Degree
Host Institution Department
Mathematical Sciences
COURSE DETAIL
DATA SCIENCE I: DATA INTEGRATION AND DATA PRIVACY
Country
Korea, South
Host Institution
Yonsei University
Program(s)
Yonsei University
UCEAP Course Level
Upper Division
UCEAP Subject Area(s)
Statistics
UCEAP Course Number
104
UCEAP Course Suffix
UCEAP Official Title
DATA SCIENCE I: DATA INTEGRATION AND DATA PRIVACY
UCEAP Transcript Title
DATA INTEGRATN&PRIV
UCEAP Quarter Units
4.50
UCEAP Semester Units
3.00
Course Description
This course introduces several data integration methods and basic materials for data privacy. From this course, students can integrate multiple data sources by handling data privacy issues. This course provides statistical methodology on data integration and statistical disclosure control.
Language(s) of Instruction
English
Host Institution Course Number
STA4116
Host Institution Course Title
DATA SCIENCE I: DATA INTEGRATION AND DATA PRIVACY
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
COURSE DETAIL
INTRODUCTION TO BUSINESS STATISTICS
Country
Denmark
Host Institution
Copenhagen Business School
Program(s)
Copenhagen Business School Summer
UCEAP Course Level
Lower Division
UCEAP Subject Area(s)
Statistics
Business Administration
UCEAP Course Number
10
UCEAP Course Suffix
UCEAP Official Title
INTRODUCTION TO BUSINESS STATISTICS
UCEAP Transcript Title
INTRO BUSINESS STAT
UCEAP Quarter Units
6.00
UCEAP Semester Units
4.00
Course Description
This introductory statistics course focuses on data analysis. It begins with the essential concepts that are necessary for understanding data analysis, such as probability and their distributions. It then covers sampling, confidence intervals, hypothesis testing, analysis of variance, correlation, and linear regression analysis. Additional topics include probability concepts, probability distributions, sampling distributions, and two group comparisons.
Language(s) of Instruction
English
Host Institution Course Number
BA-BHAAI1091U
Host Institution Course Title
INTRODUCTION TO BUSINESS STATISTICS
Host Institution Campus
Host Institution Faculty
Host Institution Degree
Host Institution Department
International Summer University Programme