Thư viện số
Giáo trình, tài liệu tham khảo và tài nguyên học tập mở.
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Principles of Data Science
OpenStax · LibreTexts
Có trong mục lục: 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
Stephen Davies · University of Mary Washington
Có trong mục lục: 1.01: Defining Data Science · 03: Three Kinds of Atomic Data · 3.01: Atomic Data
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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)
Kristin Kuter · Saint Mary's College
LibreTexts
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Computer Networks - A Systems Approach
Peterson and Davie · LibreTexts
Có trong mục lục: 07: End-to-End Data · 7.02: Multimedia Data
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Open Data Structures - An Introduction
Pat Morin · Carleton University
Có trong mục lục: 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
Ezra Temko · Southern Illinois University Edwardsville
Có trong mục lục: 01: Data Datasets SPSS and Frequency Distribution Tables
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Database Design 2e
Adrienne Watt · British Columbia Institute of Technology
Có trong mục lục: 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
Steven J Luck · University of California, Davis
Có trong mục lục: 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
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Relational Databases and Microsoft Access
Ron McFadyen · University of Winnipeg
Có trong mục lục: 01: Relational Databases and MS Access · 1.01: Relational Databases · 08: Mapping an ERD to a Relational Database
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Data Structure and Algorithms
Harrison Njoroge · African Virtual University
Có trong mục lục: 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
Michael Schmandt · Sacramento State University
Có trong mục lục: 1.06: Data Model · 02: Data Input · 2.02: Phase 1- GIS Database Design
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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
Allen B. Downey · Olin College
Có trong mục lục: 3.04: Linked Data Structures · 8.01: Data structure selection · 14.04: Redis data types
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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
Tasha Gownaris · Gettysburg College
Có trong mục lục: 01: Our Oceans and Oceanographic Data · 1.04: How are data about the ocean collected · 1.05: How are oceanographic data displayed
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Programming Fundamentals - A Modular Structured Approach, 2ed.
Kenneth Leroy Busbee and Dave Braunschweig · LibreTexts
Có trong mục lục: 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
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++
Kenneth Leroy Busbee · Houston Community College
Có trong mục lục: 3.03: Test Data · 04: Data and Operators · 4.01: Data Types in C
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Object-Oriented Reengineering Patterns
Serge Demeyer, Stéphane Ducasse, & Oscar Nierstrasz · LibreTexts
Có trong mục lục: 4.02: Analyze the Persistent Data · 9.02: Move Behavior Close to Data