INFSCI 2725: Data Analytics

About

This is the website for the INFSCI 2725: Data Analytics class at School of Information Sciences, University of Pittsburgh.

Resources

Syllabus

Lecture Slides

• Lecture 1: Introduction
• Lecture 2: Trends
• Lecture 3: Data Storage
• Lecture 4: Data Processing
• Lecture 5: Fundamental Concepts from Statistics
• Lecture 6: Verification and Testing
• Lecture 7: R Tutorial
• Lecture 8: Learning Bayesian Networks and Causal Discovery
  • Causality.xdsl
  • Credit.txt
  • Credit.xdsl
  • Example From Slides.txt
  • Example From Slides.xdsl
  • Faithfulness Violation.txt
  • Faithfulness Violation.xdsl
  • Indistinguishability.txt
  • Indistinguishability.xdsl
• Lecture 9: Probabilistic Approaches
• Lecture 10: Logic-based Approaches
• Lecture 11: Social Network Analysis
• Lecture 12: Presentation of Results

Term Project

• Home Depot Competition

Assignments

Assignment 1

• MongoDB Assignment
• Python MongoDB Tutorial Handout
• Python Import Movie File
• GitHub Tutorial

Assignment 2

• Statistics Concepts Assignment
• Retention.txt

Assignment 3

• Verification and Testing Assignment
• house-votes-84.txt
• House Votes Manual.xdsl
• House Votes Naive.xdsl
• House Votes PC.xdsl

Assignment 4

• R Assignment

Assignment 5

• Causal Discovery Assignment
• Retention.txt

Assignment 6

• Probabilistic Approaches
• Chocolate Consumption, Cognitive Function, and Nobel Laureates

Assignment 7

• Logic-based Approaches
• house-votes-84.arff
• house-votes-84.txt
• iris.arff
• iris.txt

Assignment 8

• Social Network Analysis

Assignment 9

• Presentation of Results

Instructors

Chirayu (Kong) Wongchokprasitti, Ph.D.

Philip Cwynar, MSIS, MBA