Courses Taken

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@UW-Madison

Statistics (Hons.)

• Introduction to Statistical Methods (STAT 301)
• Data Science Modeling I (STAT 240)
• Data Science Modeling II (STAT 340)
• R for Statistics I (STAT 303)
• Introduction to Probability and Mathematical Statistics I (MATH/STAT 309)
• Introduction to Probability and Mathematical Statistics II (MATH/STAT 310)
• Introduction to Time Series (STAT 349)
• Introductory Nonparametric Statistics (STAT 351)
• Data Science Computing Project (STAT 479, now is STAT 405/605)
• Statistical Experimental Design (STAT/ME 424)
• Introduction to Machine Learning and Statistical Pattern Classification (STAT 451)
• Introduction to Stochastic Processes (MATH/STAT 632)
• Senior Honors Thesis I (STAT 681)
• Senior Honors Thesis II (STAT 682)

Computer Science

• Introduction to Computer Engineering (CS/ECE 252)
• Machine Organization and Programming (CS 354)
• (Java) Programming I-III (CS 200 - CS 400)
• Learning a Programming Language: MATLAB (CS 368)
• Introduction to Optimization (CS/ECE/ISyE 524)
• Introduction to Artificial Neural Networks (ECE/CS 539)
• Introduction to Big Data Systems (CS 544)
• Database Management Systems (DBMS): Design and Implementation (CS 564)
• Introduction to Algorithms (CS 577)
• Introduction to Computer Vision (CS 639)

Economics

• Principles of Microeconomics (ECON 101)
• Principles of Macroeconomics (ECON 102)
• Intermediate Microeconomic Theory (ECON 301)
• Intermediate Macroeconomic Theory (ECON 302)
• Money and Banking (ECON 330)
• Game Theory (ECON 521)
• Industrial Structure & Competitve Strategy (ECON 458)
• Fundamentals of Data Analytics for Economists (ECON 570)

Mathematics (Cert.)

• Introduction to Discrete Mathematics (MATH/CS 240)
• Multivariable Calculus (MATH 234)
• Elementary Matrix And Linear Algebra (MATH 340)
• Some other math courses are cross-listed with stats courses.

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@UChicago

• Statistical Theory and Methods Ia (STAT 30030)
• Applied Linear Statistical Methods (STAT 34300)
• Time Dependent Data (STAT 33600)
• Statistical Theory and Methods IIa (STAT 30040)
• Generalized Linear Models (STAT 34700)
• Introduction to Causal Inference (STAT 31900)
• Multivariate Statistical Analysis: Applications and Techniques (STAT 32950)
• Modern Methods in Applied Statistics (STAT 34800)
• Machine Learning and Large-Scale Data Analysis (STAT 37601)

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@Columbia

• MSIEOR Quantitative Bootcamp (IEOR 4199)
• Professional Development and Leadership (ENGIE 4000)
• Probability and Statistics (IEOR 4150)
• Simulation (IEOR 4404)
• Optimization Models and Methods (IEOR 4004)
• Transportation Analytics & Logistics (IEOR 4418)
• Industry Projects in Analytics & Operations Research (IEOR 4511)

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@online

• MIT 18.06 Linear Algebra
• APICS CSCP

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