Computer science · Mathematics & statistics
The Crystal Ball Instruction Manual, Volume One: Introduction to Data Science
Stephen Davies
University of Mary Washington · Version 1.2, 2025; Volume One · English · Published 2025
Introduction to data science with Python, pandas, data types, data collection, visualization, quantiles and multivariate analysis.
- Learning stage
- College introduction
- Prerequisites
- Basic computer literacy and algebra; introductory programming is helpful.
- PDF pages
- 314 in this file
- Editorial review
- 2026-10-29
Contents
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Contents
Introduction
A trip to Jupyter
Three kinds of atomic data
Memory pictures
Calculations
Scales of measure
Three kinds of aggregate data
Arrays in Python (1 of 2)
Arrays in Python (2 of 2)
Interpreting Data
Assoc. arrays in Python (1 of 3)
Assoc. arrays in Python (2 of 3)
Assoc. arrays in Python (3 of 3)
Loops
EDA: univariate
Tables in Python (1 of 3)
Tables in Python (2 of 3)
Tables in Python (3 of 3)
EDA: bivariate (1 of 2)
EDA: bivariate (2 of 2)
Branching
Functions (1 of 2)
Functions (2 of 2)
Recoding and transforming
Machine Learning: concepts
Classification: concepts
Decision trees (1 of 2)
Decision trees (2 of 2)
Evaluating a classifier
Sources and permissions
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Author, publisher, and discovery sources
Authors: Stephen Davies
Publisher: University of Mary Washington
- Discovered through Open Textbook Library: Source record · Checked 2026-10-29
- Discovered through Open Textbook Library: Source record · Checked 2026-10-25
CC BY-SA 4.0
The Crystal Ball Instruction Manual, Volume One: Introduction to Data Science, version 1.2, Stephen Davies, University of Mary Washington, copyright 2025, CC BY-SA 4.0. Cover artwork copyright 2020 Elizabeth M. Davies; credit retained. Original PDF unchanged; no endorsement implied.
Changes: Original PDF bytes are unchanged. Catalog metadata and page viewing are supplied by iReadAll. No endorsement implied. Structured extraction, audio, translation and independent image redistribution are not approved.
Checked 2026-10-29