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Lecture Slides for Introduction to Data Science
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Data Science: Some Basics

  1. Introduction to Data Science (presentation, tex)

    • What can Big do for you?
    • What is Big Data?
    • Implications for Statistics and Computation
    • What is Data Science?
    • Prerequisites
  2. Get your own (Big) Data (presentation, tex)

  3. Databases and SQL (presentation, tex)

    • What are databases?
    • Relational Model
    • Relational Algebra
    • Basic SQL
    • Views

4a. Introduction to Introduction to Statistical Learning

4b. Introduction to Statistical Learning (presentation, tex) * How to learn from data? * Nearest Neighbors * When you don't have good neighbors * Assessing model fit * Clarification about Big Data

  1. Supervised Methods

  2. Unsupervised Methods

  3. Presenting Analyses

  1. Some Applications

Suggested Books

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
By Trevor Hastie, Robert Tibshirani, Jerome Friedman
ISBN: 0387848576

Python Programming: An Introduction to Computer Science
By John Zelle
ISBN: 1590282418

ggplot2: Elegant Graphics for Data Analysis (Use R!)
By Hadley Wickham
ISBN: 0387981403

License

Released under the Creative Commons License.

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