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Produktbild: Comptia Data+ Study Guide

Comptia Data+ Study Guide Exam Da0-001

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.04.2022

Verlag

John Wiley & Sons Inc

Seitenzahl

368

Maße (L/B/H)

23,2/18,6/2,2 cm

Gewicht

612 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-84525-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.04.2022

Verlag

John Wiley & Sons Inc

Seitenzahl

368

Maße (L/B/H)

23,2/18,6/2,2 cm

Gewicht

612 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-84525-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Comptia Data+ Study Guide

  • Introduction xv

    Assessment Test xxii

    Chapter 1 Today's Data Analyst 1

    Welcome to the World of Analytics 2

    Data 2

    Storage 3

    Computing Power 4

    Careers in Analytics 5

    The Analytics Process 6

    Data Acquisition 7

    Cleaning and Manipulation 7

    Analysis 8

    Visualization 8

    Reporting and Communication 8

    Analytics Techniques 10

    Descriptive Analytics 10

    Predictive Analytics 11

    Prescriptive Analytics 11

    Machine Learning, Artificial Intelligence, and Deep Learning 11

    Data Governance 13

    Analytics Tools 13

    Summary 15

    Chapter 2 Understanding Data 17

    Exploring Data Types 18

    Structured Data Types 20

    Unstructured Data Types 31

    Categories of Data 36

    Common Data Structures 39

    Structured Data 39

    Unstructured Data 41

    Semi-structured

    Data 42

    Common File Formats 42

    Text Files 42

    JavaScript Object Notation 44

    Extensible Markup Language (XML) 45

    HyperText Markup Language (HTML) 47

    Summary 48

    Exam Essentials 49

    Review Questions 51

    Chapter 3 Databases and Data Acquisition 57

    Exploring Databases 58

    The Relational Model 59

    Relational Databases 62

    Nonrelational Databases 68

    Database Use Cases 71

    Online Transactional Processing 71

    Online Analytical Processing 74

    Schema Concepts 75

    Data Acquisition Concepts 81

    Integration 81

    Data Collection Methods 83

    Working with Data 88

    Data Manipulation 89

    Query Optimization 96

    Summary 99

    Exam Essentials 100

    Review Questions 101

    Chapter 4 Data Quality 105

    Data Quality Challenges 106

    Duplicate Data 106

    Redundant Data 107

    Missing Values 110

    Invalid Data 111

    Nonparametric data 112

    Data Outliers 113

    Specification Mismatch 114

    Data Type Validation 114

    Data Manipulation Techniques 116

    Recoding Data 116

    Derived Variables 117

    Data Merge 118

    Data Blending 119

    Concatenation 121

    Data Append 121

    Imputation 122

    Reduction 124

    Aggregation 126

    Transposition 127

    Normalization 128

    Parsing/String Manipulation 130

    Managing Data Quality 132

    Circumstances to Check for Quality 132

    Automated Validation 136

    Data Quality Dimensions 136

    Data Quality Rules and Metrics 140

    Methods to Validate Quality 142

    Summary 144

    Exam Essentials 145

    Review Questions 146

    Chapter 5 Data Analysis and Statistics 151

    Fundamentals of Statistics 152

    Descriptive Statistics 155

    Measures of Frequency 155

    Measures of Central Tendency 160

    Measures of Dispersion 164

    Measures of Position 173

    Inferential Statistics 175

    Confidence Intervals 175

    Hypothesis Testing 179

    Simple Linear Regression 186

    Analysis Techniques 190

    Determine Type of Analysis 190

    Types of Analysis 191

    Exploratory Data Analysis 192

    Summary 192

    Exam Essentials 194

    Review Questions 196

    Chapter 6 Data Analytics Tools 201

    Spreadsheets 202

    Microsoft Excel 203

    Programming Languages 205

    R 205

    Python 206

    Structured Query Language (SQL) 208

    Statistics Packages 209

    IBM SPSS 210

    SAS 211

    Stata 211

    Minitab 212

    Machine Learning 212

    IBM SPSS Modeler 213

    RapidMiner 214

    Analytics Suites 217

    IBM Cognos 217

    Power BI 218

    MicroStrategy 219

    Domo 220

    Datorama 221

    AWS QuickSight 222

    Tableau 222

    Qlik 224

    BusinessObjects 225

    Summary 225

    Exam Essentials 225

    Review Questio