Coursework

This is a sample gallery to go along with this case study.

STATS 506 - Computational Methods and Tools in Statistics

This page contains files to my projects and course work from STATS 506 (Fall 2018)

Quant Lab Agenda

Fall 2019 Friday-Workshops.

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Jobs and Internships

Resources for researching jobs and internships (From Pete’s Page).

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Summer Bootcamp

2019 Summer Bootcamp.

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Projects

Final Project

Monte Carlo Tutorial.

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Bonus Project

Health Care Procedure Trends (HCPCS).

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Problem Sets

Problem Set 1

Bash, NYC Flights 2013-2014 (R), RECS Census 2015 (R)

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Problem Set 2

RECS Census (Stata), 2005-2006 NHANES ORAL Health (Stata), NHANES (R)

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Problem Set 3

RECS (data.table), Monte Carlo Study (R), Univariate Regression (data.table)

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Problem Set 4

Lahman Baseball (SQL), Parallel Computing (R), 2016 Medicare Provider Utilization (SAS)

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STATS 507 - Data Analysis in Python

This page contains files to my projects and course work from STATS 507 (Winter 2019)

Homeworks

Homework 1: Data Types, Functions and Conditionals

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Homework 2: Iteration, Sequences, and Dictionaries

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Homework 3: Files and Objects

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Homework 4: Functional Programming

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Homework 5: numpy and matplotlib

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Homework 6: pandas

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Homework 7: Regexes and Structured Data

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Homework 8: MapReduce, Hadoop and Spark

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Homework 9: Algorithms

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Homework 10: Google TensorFlow

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