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C-eLT provides eTutoring and TA services on the following courses:
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Introductory: Beginners' Introductory Course, Beginners' Survey, Introductory Statistics-I, Introductory Statistics-II, Introductory Statistics-III, and Non-normal Data.
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Business: Choice Modeling, Data Mining I – Introductory, Data Mining II – Unsupervised Learning, Decision Trees, National Income, Natural Language Processing, Risk Analysis, and Time Series. |
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Stat Methods: Bayesian Statistics, Bootstrap Methods, Categorical Data Analysis, Count Data Analysis, Engineering Statistics, Logistic Regression, Missing data Analysis, Mixed Model, Nonparametric Testing, Randomization, Regression Analysis, Cluster Analysis, Re-sampling Methods and Sample Size Determination. |
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Life Science: Biostatistics, Adaptive Trials, Clinical Trials, Clinical Trials with Bayesian, Epidemiology I - Fundamentals, Epidemiology II - Bias, Epidemiology III - Analysis, Meta Analysis, Micro-array Analysis, and Survival Analysis. |
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Engineering: Design of Experiments, Design of Experiments – Advanced, and Statistical Process Control. |
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Environment: Environmental Statistics, Environmental Sampling, and Geo-statistics. |
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Social Science: Census, Choice Modeling, Facets, Generalized Linear Modeling, Longitudinal Data Analysis, Rasch Analysis, Sequential Estimating Methods, Sequential Estimating Methods – Advanced, Standardized Tests, Survey Analysis and Survey Design.
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