Module Overview

This page features a comprehensive collection of modules curated by our partners at KDSC. These resources include lecture slides, interactive tutorial content, and hands-on workshop materials, designed to enhance your learning and expertise in data science competency.

Module Lists

An Optimization Case Study With Extensions for Analysis
The problem in this case study falls into a class of optimization problems known as “set covering.” A small-scale problem is introduced with a basic formulation and…
Kevin McCarthy
Business Data Analytics 1
This is the first workshop of four is a series of workshops for business analytics.
William Duncan
Business Data Analytics 2
This is the second workshop of four is a series of workshops for business analytics.
William Duncan
Business Data Analytics 3
This is the third workshop of four is a series of workshops for business analytics.
William Duncan
Business Data Analytics 4
This is the third workshop of four is a series of workshops for business analytics.
William Duncan
Business Data Analytics 4
This is a set of workshop materials for introductory Stata analysis.
William Duncan
Casuality
This module is a lecture slide that explains casuality.
TBD
Casuality Homework
This module is a hands-on homework assignment that students can enhance their understanding of causality and develop programming skills via Google Colab.
Data 8 Instructors
Computer Approach to Art History
The module provides step-by-step instructions and tools fort an empirical research-based experiment focused on data science approach to art history. The module allows to…
Lior Shamir
Data Bias and Fairness Series: Deconstructing and Mitigating Socio-Demographic Bias in AI Algorithms for Mental Health
Dr. Chaspari’s presentation on “Deconstructing and Mitigating Socio-Demographic Bias in AI Algorithms for Mental Health” for the Data Bias and Fairness Speaker Series. In…
Theodora Chaspari
Data Bias and Fairness Series: Safety, Ethics, and Biases in AI and NLP Systems
Xuhui Zhou’s presentation on “Safety, Ethics, and Biases in AI and NLP Systems” for the Data Bias and Fairness Speaker Series. In this lecture, Xuhui spoke about the biases…
Xuhui Zhou
Data Management in Python
This workshop introduces students to using Python for data analysis. We give an overview of proper setup of Python in a local environment and also using Python in Google…
Edina Harsay
Data Management in R
This workshop shows students how to clean and manage a data set in R. There are two R code files in this workshop. The first takes in a fake data set of corporate mergers…
Stephen Paolillo
Data Management in Stata
This workshop walks students through the application of data management techniques in a research environment. The focus is on best practices for downloading, transforming…
Benjamin Jacobs
Federal Data Workshops: the Bureau of Economic Analysis
This is the second session of the Federal Data Workshops hosted in Spring 2025, covering the Bureau of Economic Analysis.
William Duncan
Federal Data Workshops: the Bureau of Labor Statistics
This is the first session of the Federal Data Workshops hosted in Spring 2025, covering the Bureau of Labor Statistics.
William Duncan
Federal Data Workshops: the Census Bureau
This is the fifth and final session of the Federal Data Workshops hosted in Spring 2025, covering the Census Bureau.
William Duncan
Federal Data Workshops: the National Center for Education Statistics
This is the third session of the Federal Data Workshops hosted in Spring 2025, covering the National Center for Education Statistics.
William Duncan
Federal Data Workshops: the National Center for Health Statistics
This is the fourth session of the Federal Data Workshops hosted in Spring 2025, covering the National Center for Health Statistics.
William Duncan
Intro to Neural Network
This module introduces neural networks, and how to design neural networks to solve problems like classification and prediction.
Dr. Fuijan Yan
Introduction to Google Colab
You can access this tutorial here
Data 8 Instructors
Introduction to Tableau
This module contains information that can be used to provide a 3 hour hand-on workshop where participants are exposed to data science through an introductory PowerPoint. and…
Janice Akao
KDSC R Workshop: Intro to R & Data Wrangling
This is the first session in the R workshop series, covering intro to R & data wrangling.
Jeff Girard
Linear Regression
This module contains a video lecture, notes, and a lab over Linear Regression. The correlation coefficient and “Line of Best Fit” are discussed. KNIME Analytics Platform…
Suzanne Smith
Multiple Models, Explainability, and Bias
Students explore the space of good models and reflect on those that are more explainable and open to examination for interpretation by subject matter experts and for bias by…
Michael S. Branicky
Network Intrusion Detection with AI
This module provides data code to demonstrate how attacks can be detected in a packet capture file.
Dr. Sergio Salinas Mornroy
Stata Workshop 1:Data Wrangling
Workshop Material
This is the first session in the Spring 2025 Stata Workshop series, covering data wrangling in Stata.
William Duncan
Stata Workshop 2:Visualization
This is the second session in the Spring 2025 Stata Workshop series, covering data wrangling in Stata.
William Duncan
Stata Workshop 3:Data Wrangling
This is the third and final session in the Spring 2025 Stata Workshop series, covering statistics in Stata.
William Duncan
Text Analysis Protocol
The purpose of this document is to show how to perform automatic classification and analysis of text files. Automatic classification of text files is done by computers…
Lior Shamir
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