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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 ScienceUnravel 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 ScienceThis 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, Lillian Pierson, Jonathan Reichental PhD, Joseph Schmuller PhD, Alan Simon, and Allen G. Taylor.
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
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 832 |
| 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 |
| Maße: | 234 x 188 x 46 mm |
| Von/Mit: | Jack A. Hyman (u. a.) |
| Erscheinungsdatum: | 01.04.2024 |
| Gewicht: | 1,51 kg |
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, Lillian Pierson, Jonathan Reichental PhD, Joseph Schmuller PhD, Alan Simon, and Allen G. Taylor.
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
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 832 |
| 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 |
| Maße: | 234 x 188 x 46 mm |
| Von/Mit: | Jack A. Hyman (u. a.) |
| Erscheinungsdatum: | 01.04.2024 |
| Gewicht: | 1,51 kg |
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