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Statistics for Data Scientists

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science;

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Data Science

Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and;

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Intro to Python for Computer Science and Data Science

and data science The Deitels' Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the;

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Introduction to Data Science

This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary;

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Data Science

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data;

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Introduction to Statistical and Machine Learning Methods for Data Science

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Introduction to Statistical and Machine Learning Methods for Data Science

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Data Science from Scratch: First Principles with Python

This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader;

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Introduction to Data Systems

. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST;

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Introduction to Data Systems

. Introduction to Data Systems covers data acquisition starting with local files, then progresses to data acquired from relational databases, from REST;

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An Introduction to Information Science

This book comprises an introduction to information as an external commodity; a data base that can be manipulated, retrieved, transmitted;

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Earth Science Satellite Remote Sensing: Vol.2

sensing and GIS migration products and WebGIS applications. Both volumes are designed to give an introduction to current and future NASA, NOAA and;

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Earth Science Satellite Remote Sensing: Vol.1

sensing and GIS migration products and WebGIS applications. Both volumes are designed to give an introduction to current and future NASA, NOAA and;

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Data and Society: A Critical Introduction

The standard teaching text for Data and Society modules explaining to undergraduates, in different social-science disciplines, the Big Data;

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Data Science Concepts and Techniques with Applications

parts: The first part (chapters 1 to 3) is a general introduction to data science. Starting from the basic concepts, the book will highlight the;

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Python for Data Science: A Hands-On Introduction

to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You'll learn how;

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Data Science for Undergraduates

students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular;

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Quantitative Social Science Data with R

Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to;

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Quantitative Social Science Data with R

Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to;

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Doing Data Science in R

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;

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Introduction to Data Science

Covers the basics of R and the tidyverse Demonstrate how to use ggplot2 to generate graphs and describe important Data Visualization;

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Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights

. Table of Contents Front Matter 1 Introduction 2 Meeting #1: The Foundations of Data Science from Statistics, Computer Science;

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Public Policy Analytics

the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data;

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Public Policy Analytics

the same. A graduate-level introduction to data science, this book will appeal to researchers and data scientists at the intersection of data;

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The Mathematics of Data

science, as well as many other areas. This book gives an introduction to the mathematical methods that form the foundations of machine learning;

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Java for Data Science

Examine the techniques and Java tools supporting the growing field of data science About This Book * Your entry ticket to the world of data;

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The Data Science Design Manual

easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an Introduction to Data Science course;

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