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Data Analytics & Visualization All-in-One For Dummies
Taschenbuch von Jack A. Hyman (u. a.)
Sprache: Englisch

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Beschreibung

Unravel mysteries and tell stories with data

The world of data analytics requires having a grasp of statistics, visualization tools, business intelligence, and coding. For aspiring data analysts, it's a lot to figure out on the fly. This book provides a trusty guide for getting a handle on the fundamentals of data. Discover how to dig data out of storage, how to extrapolate insight from it, and how to turn that insight into a story that inspires others. It's all in a day's work for a data analyst.

6 Mini-Books Inside...

Learning Data Analytics & Visualization Foundations Using Power BI for Data Analytics & Visualization Using Tableau for Data Analytics & Visualization Extracting Information with SQL Performing Statistical Data Analysis & Visualization with R Programming Applying Python Programming to Data Science

Unravel mysteries and tell stories with data

The world of data analytics requires having a grasp of statistics, visualization tools, business intelligence, and coding. For aspiring data analysts, it's a lot to figure out on the fly. This book provides a trusty guide for getting a handle on the fundamentals of data. Discover how to dig data out of storage, how to extrapolate insight from it, and how to turn that insight into a story that inspires others. It's all in a day's work for a data analyst.

6 Mini-Books Inside...

Learning Data Analytics & Visualization Foundations Using Power BI for Data Analytics & Visualization Using Tableau for Data Analytics & Visualization Extracting Information with SQL Performing Statistical Data Analysis & Visualization with R Programming Applying Python Programming to Data Science
Über den Autor

This All-in-One draws on the work of top authors in the For Dummies series who've created books designed to help data professionals do their work. The experts are Jack Hyman, Luca Massaron, Paul McFedries, John Paul Mueller, Jonathan Reichental PhD, Joseph Schmuller PhD, Alan Simon, and Allen G. Taylor.

Inhaltsverzeichnis

Introduction 1

Book 1: Learning Data Analytics & Visualizations Foundations 7

Chapter 1: Exploring Definitions and Roles 9

Chapter 2: Delving into Big Data 19

Chapter 3: Understanding Data Lakes 41

Chapter 4: Wrapping Your Head Around Data Science 51

Chapter 5: Telling Powerful Stories with Data Visualization 81

Book 2: Using Power BI for Data Analytics & Visualization 107

Chapter 1: Power BI Foundations 109

Chapter 2: The Quick Tour of Power BI 123

Chapter 3: Prepping Data for Visualization 141

Chapter 4: Tweaking Data for Primetime 167

Chapter 5: Designing and Deploying Data Models 183

Chapter 6: Tackling Visualization Basics in Power BI 203

Chapter 7: Digging into Complex Visualization and Table Data 227

Chapter 8: Sharing and Collaborating with Power BI 247

Book 3: Using Tableau for Data Analytics & Visualization 265

Chapter 1: Tableau Foundations 267

Chapter 2: Connecting Your Data 285

Chapter 3: Diving into the Tableau Prep Lifecycle 313

Chapter 4: Advanced Data Prep Approaches in Tableau 337

Chapter 5: Touring Tableau Desktop 351

Chapter 6: Storytelling Foundations in Tableau 371

Chapter 7: Visualizing Data in Tableau 391

Chapter 8: Collaborating and Publishing with Tableau Cloud 425

Book 4: Extracting Information with SQL 443

Chapter 1: SQL Foundations 445

Chapter 2: Drilling Down to the SQL Nitty-Gritty 455

Chapter 3: Values, Variables, Functions, and Expressions 487

Chapter 4: SELECT Statements and Modifying Clauses 513

Chapter 5: Tuning Queries 539

Chapter 6: Complex Query Design 557

Chapter 7: Joining Data Together in SQL 591

Book 5: Performing Statistical Data Analysis & Visualization with R Programming 605

Chapter 1: Using Open Source R for Data Science 607

Chapter 2: R: What It Does and How It Does It 623

Chapter 3: Getting Graphical 651

Chapter 4: Kicking It Up a Notch to ggplot2 671

Book 6: Applying Python Programming to Data Science 689

Chapter 1: Discovering the Match between Data Science and Python 691

Chapter 2: Using Python for Data Science and Visualization 703

Chapter 3: Getting a Crash Course in Matplotlib 721

Chapter 4: Visualizing the Data 739

Index 761

Details
Erscheinungsjahr: 2024
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Introduction 1Book 1: Learning Data Analytics & Visualizations Foundations 7Chapter 1: Exploring Definitions and Roles 9Chapter 2: Delving into Big Data 19Chapter 3: Understanding Data Lakes 41Chapter 4: Wrapping Your Head Around Data Science 51Chapter 5
ISBN-13: 9781394244096
ISBN-10: 1394244096
Sprache: Englisch
Herstellernummer: 1W394244090
Einband: Kartoniert / Broschiert
Autor: Hyman, Jack A.
Massaron, Luca
McFedries, Paul
Mueller, John Paul
Pierson, Lillian
Reichental, Jonathan
Schmuller, Joseph
Simon, Alan R.
Taylor, Allen G.
Hersteller: Wiley John + Sons
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 234 x 188 x 46 mm
Von/Mit: Jack A. Hyman (u. a.)
Erscheinungsdatum: 01.04.2024
Gewicht: 1,51 kg
Artikel-ID: 127772181
Über den Autor

This All-in-One draws on the work of top authors in the For Dummies series who've created books designed to help data professionals do their work. The experts are Jack Hyman, Luca Massaron, Paul McFedries, John Paul Mueller, Jonathan Reichental PhD, Joseph Schmuller PhD, Alan Simon, and Allen G. Taylor.

Inhaltsverzeichnis

Introduction 1

Book 1: Learning Data Analytics & Visualizations Foundations 7

Chapter 1: Exploring Definitions and Roles 9

Chapter 2: Delving into Big Data 19

Chapter 3: Understanding Data Lakes 41

Chapter 4: Wrapping Your Head Around Data Science 51

Chapter 5: Telling Powerful Stories with Data Visualization 81

Book 2: Using Power BI for Data Analytics & Visualization 107

Chapter 1: Power BI Foundations 109

Chapter 2: The Quick Tour of Power BI 123

Chapter 3: Prepping Data for Visualization 141

Chapter 4: Tweaking Data for Primetime 167

Chapter 5: Designing and Deploying Data Models 183

Chapter 6: Tackling Visualization Basics in Power BI 203

Chapter 7: Digging into Complex Visualization and Table Data 227

Chapter 8: Sharing and Collaborating with Power BI 247

Book 3: Using Tableau for Data Analytics & Visualization 265

Chapter 1: Tableau Foundations 267

Chapter 2: Connecting Your Data 285

Chapter 3: Diving into the Tableau Prep Lifecycle 313

Chapter 4: Advanced Data Prep Approaches in Tableau 337

Chapter 5: Touring Tableau Desktop 351

Chapter 6: Storytelling Foundations in Tableau 371

Chapter 7: Visualizing Data in Tableau 391

Chapter 8: Collaborating and Publishing with Tableau Cloud 425

Book 4: Extracting Information with SQL 443

Chapter 1: SQL Foundations 445

Chapter 2: Drilling Down to the SQL Nitty-Gritty 455

Chapter 3: Values, Variables, Functions, and Expressions 487

Chapter 4: SELECT Statements and Modifying Clauses 513

Chapter 5: Tuning Queries 539

Chapter 6: Complex Query Design 557

Chapter 7: Joining Data Together in SQL 591

Book 5: Performing Statistical Data Analysis & Visualization with R Programming 605

Chapter 1: Using Open Source R for Data Science 607

Chapter 2: R: What It Does and How It Does It 623

Chapter 3: Getting Graphical 651

Chapter 4: Kicking It Up a Notch to ggplot2 671

Book 6: Applying Python Programming to Data Science 689

Chapter 1: Discovering the Match between Data Science and Python 691

Chapter 2: Using Python for Data Science and Visualization 703

Chapter 3: Getting a Crash Course in Matplotlib 721

Chapter 4: Visualizing the Data 739

Index 761

Details
Erscheinungsjahr: 2024
Fachbereich: Wahrscheinlichkeitstheorie
Genre: Importe, Mathematik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Introduction 1Book 1: Learning Data Analytics & Visualizations Foundations 7Chapter 1: Exploring Definitions and Roles 9Chapter 2: Delving into Big Data 19Chapter 3: Understanding Data Lakes 41Chapter 4: Wrapping Your Head Around Data Science 51Chapter 5
ISBN-13: 9781394244096
ISBN-10: 1394244096
Sprache: Englisch
Herstellernummer: 1W394244090
Einband: Kartoniert / Broschiert
Autor: Hyman, Jack A.
Massaron, Luca
McFedries, Paul
Mueller, John Paul
Pierson, Lillian
Reichental, Jonathan
Schmuller, Joseph
Simon, Alan R.
Taylor, Allen G.
Hersteller: Wiley John + Sons
Verantwortliche Person für die EU: Books on Demand GmbH, In de Tarpen 42, D-22848 Norderstedt, info@bod.de
Maße: 234 x 188 x 46 mm
Von/Mit: Jack A. Hyman (u. a.)
Erscheinungsdatum: 01.04.2024
Gewicht: 1,51 kg
Artikel-ID: 127772181
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