Professor Widom's Instructional Odyssey

Links to Course Materials

Fact Sheets

• Data Science Short-Course - Fact Sheet

• Design Thinking & Collaborative Problem-Solving Workshop - Fact Sheet

• Women in Tech Roundtable - Fact Sheet

Getting Started Documents for Software (Data Science)

• Getting Started with Google Sheets

• Getting Started with Tableau Public

• Getting Started with Google Colab

Presentation Slides (Data Science)

• Overview of Data Science - Promises and Pitfalls, Tools and Techniques

• Data Analysis Using Spreadsheets

• Data Visualization Using Spreadsheets

• Advanced Data Visualization Using Tableau

• Relational Databases and SQL

• Python for Data Analysis and Visualization

• Machine Learning - Regression

• Machine Learning - Classification

• Machine Learning - Clustering

• Data Mining Algorithms

• The R Language

• Network Analysis

• Unstructured Data

• Correlation and Causation

Data Files and Jupyter Notebooks for Data Science Course Modules

• Data Analysis Using Spreadsheets

• Data Visualization Using Spreadsheets

• Advanced Data Visualization Using Tableau

• Basic and Advanced SQL

• Python for Data Analysis and Visualization

• Data Mining Using Python and SQL

• Machine Learning - Regression

• Machine Learning Using Python

• The R Language

• Network Analysis

• Unstructured Data

Optional Readings, Tutorials, and Help Pages

Design Thinking

• Slides used in one-day Design Thinking & Collaborative Problem Solving workshops

• IDEO.ORG Design Kit

• Stanford d.school shared ideas site

• Design Thinking Comes of Age

data science READINGS

Data Science Overviews, History, Skepticism

• What is Data Science

• Data Science and Big Data, Explained

• Data fallacies

• Eight (No Nine!) Problems With Big Data

• Big data: are we making a big mistake?

Data Privacy

• How Companies Learn Your Secrets (Target store predictions)

• "Anonymized" data really isn't -- and here's why not (Massachusetts health records)

Correlation and Causation

• Correlation does not imply causation

• British Doctors Study

Data Visualization

• Common Visualization Mistakes

Regression

• Introduction to Linear Regression

• Correlation and linear regression

• Polynomial Regression Data Fit

Classification

• K-Nearest Neighbors - Classification

• A Detailed Introduction to K-Nearest Neighbor (KNN) Algorithm

• Decision Tree - Classification

• Decision Tree Classifier

• Naive Bayesian

• 6 Easy Steps to Learn Naive Bayes Algorithm

• Bayesian Classifiers

• A Beginner’s Guide to Neural Networks and Deep Learning

Clustering

• K-Means Clustering (1)

• K-Means Clustering (2)

Data Mining

• Association rule learning (Wikipedia)

• Association Rules and Frequent Itemsets (from Ullman textbook)

• The parable of the beer and diapers

Network Analysis

• Social Network Analysis (Wikipedia)

• Analysis of Networks - Introduction (from Stanford course)

• Networks, Crowds, and Markets (from Easley & Kleinberg textbook)

Unstructured Data

• Text Mining (Wikipedia)

• Introduction to Natural Language Processing (NLP)

data science help

Google Sheets Help

• Google Drive Help Center

• Google Sheets getting started guide

• Google Sheets Beginner's Guide

• Google Spreadsheet Tutorial

• Google Sheets Chart and Graph Types

• Google Sheets Advanced Features

Tableau Help

• Tableau online tutorial

Jupyter Notebooks Background and Help

• Project Jupyter home page

SQL Help

• SQLBolt interactive tutorial

• SQLZOO interactive tutorial

• SQLite official documentation

• SQLite SQL Syntax

Python Background and Help

• History of Python

• Comparing Python to Other Languages

• Interactive Python tutorial

• Learn Python in 10 minutes

• Python official documentation

Python Packages Help

• Pyplot tutorial

• Python Data Analysis Library - pandas

• Pandas Tutorials

• An Introduction to Scientific Python: Pandas

• Pandas comparison with SQL

• Machine Learning Algorithms Recipes in scikit-learn

• scikit-learn: KNeighborsClassifier

• scikit-learn: DecisionTreeClassifier

• scikit-learn: Naive Bayes

• scikit-learn: KMeans

• Keras: The Python Deep Learning Library

• Networkx Tutorial

• Python - Text Processing Introduction

• Python - Regular Expressions Practical Guide

• Python re - Regular expression operations

• NLTK Tutorials

• Python Imaging Library (PIL/Pillow) - The Image Module

R Help

• R Tutorial

R versus Python

• Choosing R or Python for data analysis? An infographic