COMP 333 Introduction to Data Analytics

Fall 2021: Lectures

Lecture Schedule

Tentative, Work in Progress - very much subject to change.

READ the things marked READ.
The other material is supplementary to the lecture, if you need it. And some is still To-COME.

1. Week 1: Introduction
   Questionnaire
   Welcome READ
   Data Analytics in a Nutshell READ
   Course Outline READ
   Guide to COMP 333 READ
2. Week 2: Examples
   Welcome READ
   Example 1 - Restaurant Tipping READ slides wikipedia
   Example 2 - OECD International Student Assessment READ video
   Example 3 - Titanic Survival READ article Jupyter notebook video
   Recap READ
ccccc
3. Week 3: Descriptive Data Analysis
   Welcome READ
   scipy Descriptive Statistics READ article
   Types of Data READ article
   Basic Plotting READ article
   Descriptive Data Analysis READ slides
   Recap READ
4. Week 4: Descriptive Data Analysis: Data
   Welcome READ
   Numerical Data READ slides slides
   Structured and Unstructured Data READ
   Metadata, Self-Descriptive Data, Data Formats READ
   pandas Dataframes READ slides notes
   Tidy Data READ article
   Recap READ
5. Week 5: Data Warehousing
   Welcome READ READ (Introduction to Data Warehousing, Chapter 1 of Data Warehouse Design: Modern Principles and Methodologies, 2009, by Matteo Golfarelli and Stefano Rizzi)
   Databases, Data Warehouses, Data Marts, Dashboards READ video
   ETL (Extract-Transform-Load) READ
   Data Cubes and OLAP READ
   Business Intelligence (BI) READ video-BI article-Walmart article-Walmart article-Amazon
   Recap READ
6. Week 6: Data Wrangling
   Welcome READ
   Data Wrangling Example READ video
   Data Wrangling Process READ
7. Week 7: Data Wrangling: Data Cleaning
   Welcome READ
   Data Cleaning READ article
   Missing Values READ
   Unification READ
   Entity Resolution READ slides article
   OpenRefine Examples READ video 1 video 2 video 3
   Recap READ
8. Week 8: Exploratory Data Analysis
   Welcome READ A Gentle Introduction to EDA
   EDA Process READ slides
   Principal Component Analysis (PCA) article video (SVD) video (PCA) video (PCA-Python)
   Clustering READ (Skiena Lecture 20 3-6) article article
9. Week 9: Exploratory Data Analysis
   Welcome READ
   Feature Engineering READ slides article video
   Models: Regression, Classification, Prediction, Simulation READ slides article video
   Regression article
   Classification article
   Prediction article
   Simulation article article
   Recap READ video (00:00-33:30)
10. Week 10: Introduction to Machine Learning
    Welcome READ slides
    ML Example 1: Decision Tree READ article
    ML Example 2: Process and Evaluation READ article
    Machine Learning Introduction READ video What is ML(21:30-35:20) Workflow (62:50-70:45) article
11. Week 11: Introduction to Machine Learning
    Welcome READ
    Machine Learning Process READ article article (cross-validation)
    Some ML Algorithms READ article
    Guidelines cheatsheet cheatsheet
    Recap READ
12. Week 12: Story Telling and Visualization
    Welcome READ
    Story Telling slides-READ article article video
    Link changes:
    McNulty article
    Visualization slides-READ article article video
13. Week 13: Other
    Welcome READ
    Correlation is not Causation article article
    Confounding Variables article+video
    Threats to Validity article article
    Deployment and Big Data Infrastructure article
    Recap READ article+video