teaching
The following courses were taught over several semesters. They will only be organized by course [not by semester, year, or college] since some may have been taught in different semesters.
The course materials are available upon request
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title: Introduction to SAS for Data Scientists type: time_table contents: - Taught basic SAS syntax and macros development - Learn data preparation (cleaning and merging) for further analysis - Understand file handling for accessing data - Statistical methods for hypothesis testing - Predictive modelling with linear regression
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title: Data Science with R type: time_table contents: - Taught R syntax for handling data - Visualizing data with ggplot - Webscrapping - Handling multiple data sources - Project
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title: Data Visualization type: time_table contents: - Taught principles of Data Visualization - Visualizing different types of data - Building web applications with shiny - Visualizing data within the web app - Project
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title: Linear Algebra type: time_table contents: - Taught vectors and vector operations - Matrices and matrix operations - Linear transformations - Vector spaces - Eigenvalues and eigenvectors