Phu Xuan University Library

Digital library

Textbooks, references and open learning resources.

Principles of Data Science

External

Principles of Data Science

OpenStax · LibreTexts

In the contents: 01: What Are Data and Data Science · 1.01: What Is Data Science · 1.02: Data Science in Practice

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The Crystal Ball - Instruction Manual I: Introduction to Data Science

External

The Crystal Ball - Instruction Manual I: Introduction to Data Science

Stephen Davies · University of Mary Washington

In the contents: 1.01: Defining Data Science · 03: Three Kinds of Atomic Data · 3.01: Atomic Data

CC BY-SAData ScienceEngineering 0 views
CIS211: Support for Foundations of Data Science for All

External

CIS211: Support for Foundations of Data Science for All

Clare Nguyen · De Anza College

This course is a review of core prerequisite skills, competencies, and concepts needed whenstudying data science, intended for students who are concurrently enrolled in Data Science for All.

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DSCI 500B Essential Probability Theory for Data Science (Kuter)

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DSCI 500B Essential Probability Theory for Data Science (Kuter)

Kristin Kuter · Saint Mary's College

LibreTexts

Statistics 0 views
Computer Networks - A Systems Approach

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Computer Networks - A Systems Approach

Peterson and Davie · LibreTexts

In the contents: 07: End-to-End Data · 7.02: Multimedia Data

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Open Data Structures - An Introduction

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Open Data Structures - An Introduction

Pat Morin · Carleton University

In the contents: 1.07: List of Data Structures · 13: Data Structures for Integers

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The Stories Behind Social Statistics: Data Analysis, Interpretation, and Communication

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The Stories Behind Social Statistics: Data Analysis, Interpretation, and Communication

Ezra Temko · Southern Illinois University Edwardsville

In the contents: 01: Data Datasets SPSS and Frequency Distribution Tables

CC BY-NC-SASocial Sciences 0 views
Database Design 2e

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Database Design 2e

Adrienne Watt · British Columbia Institute of Technology

In the contents: 1.01: Before the Advent of Database Systems · 1.03: Characteristics and Benefits of a Database · 1.04: Types of Data Models

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Applied Event-Related Potential Data Analysis

External

Applied Event-Related Potential Data Analysis

Steven J Luck · University of California, Davis

In the contents: 1.02: Installing the Software and Downloading the Data · 02: Processing the Data from One Participant in the ERP CORE N400 Experiment · 2.01: Data For This Chapter

CC BYPsychologySocial Sciences 0 views
Relational Databases and Microsoft Access

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Relational Databases and Microsoft Access

Ron McFadyen · University of Winnipeg

In the contents: 01: Relational Databases and MS Access · 1.01: Relational Databases · 08: Mapping an ERD to a Relational Database

CC BY-NC-SAComputer ScienceEngineering 0 views
Data Structure and Algorithms

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Data Structure and Algorithms

Harrison Njoroge · African Virtual University

In the contents: 03: Basic Data Structures and Abstract Data Types · 3.01: Activity 1 - Data Structures · 3.02: Activity 2 - Abstract Data Type

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GIS Commons: An Introductory Textbook on Geographic Information Systems

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GIS Commons: An Introductory Textbook on Geographic Information Systems

Michael Schmandt · Sacramento State University

In the contents: 1.06: Data Model · 02: Data Input · 2.02: Phase 1- GIS Database Design

CC BY-SAGeography (Physical)Geosciences 0 views
Data Structures

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Data Structures

Wikipedia · LibreTexts

This book is about the creation and analysis of efficient data structures. To understand the material in this book you should be comfortable enough in a programming language to be capable of working with and writing your own variables, arithmetic expressions, if-else conditions, loops, subroutines (also known as functions), pointers (also known as references or object handles), structures (also known as records or classes), simple input and output, and simple recursion.

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Think Data Structures - Algorithms and Information Retrieval in Java

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Think Data Structures - Algorithms and Information Retrieval in Java

Allen B. Downey · Olin College

In the contents: 3.04: Linked Data Structures · 8.01: Data structure selection · 14.04: Redis data types

CC BY-NC-SAComputer ScienceEngineering 0 views
Computer Science from the Bottom Up

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Computer Science from the Bottom Up

Ian Wienand · Red Hat

Computer science is often taught from the "top down"; applications, high level programming, software design and development theory, possibly data structures. Students will probably be exposed to binary, hopefully binary logic, possibly even some low level concepts such as registers, opcodes and the like at a superficial level. This book aims to move in completely the opposite direction, working from operating systems fundamentals through to how those applications are complied and executed.

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Oceans of Data

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Oceans of Data

Tasha Gownaris · Gettysburg College

In the contents: 01: Our Oceans and Oceanographic Data · 1.04: How are data about the ocean collected · 1.05: How are oceanographic data displayed

Geosciences 0 views
Programming Fundamentals - A Modular Structured Approach, 2ed.

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Programming Fundamentals - A Modular Structured Approach, 2ed.

Kenneth Leroy Busbee and Dave Braunschweig · LibreTexts

In the contents: 02: Data and Operators · 2.05: Practice- Data and Operators · 2.07: Data Types

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A Brief Introduction to Engineering Computation with MATLAB

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A Brief Introduction to Engineering Computation with MATLAB

Serhat Beyenir · British Columbia Institute of Technology

The strategic goal of the course and book is to provide learners with an appreciation for the role computation plays in solving engineering problems. MATLAB specific skills that students are expected to be proficient at are: write scripts to solve engineering problems including interpolation, numerical integration and regression analysis, plot graphs to visualize, analyze and present numerical data, and publish reports.

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Programming Fundamentals - A Modular Structured Approach using C++

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Programming Fundamentals - A Modular Structured Approach using C++

Kenneth Leroy Busbee · Houston Community College

In the contents: 3.03: Test Data · 04: Data and Operators · 4.01: Data Types in C

CC BYComputer ScienceEngineering 0 views
Object-Oriented Reengineering Patterns

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Object-Oriented Reengineering Patterns

Serge Demeyer, Stéphane Ducasse, & Oscar Nierstrasz · LibreTexts

In the contents: 4.02: Analyze the Persistent Data · 9.02: Move Behavior Close to Data

CC BY-SAComputer ScienceEngineering 0 views