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Tableau Desktop: Part 2

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Tableau Desktop: Part 2

Dieser Kurs ist Teil von Spezialisierung „Tableau Mastery“

Dozent: Bill Rosenthal

Bei enthalten

Mehr erfahren

8 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

8 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

2 Wochen zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

In this course, you will perform advanced data visualization and analysis in Tableau.

Kompetenzen, die Sie erwerben

Kategorie: Tableau Software
Kategorie: Trend Analysis
Kategorie: Data Visualization Software
Kategorie: Data Visualization
Kategorie: Dashboard Creation
Kategorie: Statistical Analysis
Kategorie: Statistical Visualization
Kategorie: Spreadsheet Software
Kategorie: Interactive Data Visualization
Kategorie: Data Analysis
Kategorie: Data Presentation
Kategorie: Predictive Analytics
Kategorie: Data Transformation
Kategorie: Data Management
Kategorie: Forecasting

Werkzeuge, die Sie lernen werden

Kategorie: Dashboard
Kategorie: Microsoft Office
Kategorie: Productivity Software
Kategorie: Microsoft PowerPoint
Kategorie: Microsoft Excel

Wichtige Details

Zertifikat zur Vorlage

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Kürzlich aktualisiert!

Januar 2026

Bewertungen

1 Aufgabe

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

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Dieser Kurs ist Teil der Spezialisierung Spezialisierung „Tableau Mastery“

Wenn Sie sich für diesen Kurs anmelden, werden Sie auch für diese Spezialisierung angemeldet.

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Gewinnen Sie ein Grundverständnis bestimmter Themen oder Tools
Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
Erwerben Sie ein Berufszertifikat zur Vorlage

In diesem Kurs gibt es 8 Module

In today's business environment, data is an abundant raw material, and successful organizations have found ways to extract insights from the data. With the abundance of computational power and storage, organizations and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain competitive advantage.

Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. Tableau® software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Beyond the fundamental capabilities of creating data-driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data-driven insights with peers, executives, and clients. This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis. This course is also designed for students who plan to obtain the Tableau Desktop Specialist certification, which requires candidates to pass the Tableau Desktop Specialist exam, or the Tableau Certified Data Analyst certification, which requires candidates to pass the Tableau Certified Data Analyst exam. In this course, you will: connect to and transform data; refine visualizations; analyze data with calculations; perform statistical analysis, forecasting, and predicting; create content; publish and manage content; get answers with Explain Data and Tableau Pulse. This course requires that you have access to Tableau Desktop through a trial Tableau account. You should also have access to Microsoft Office, particularly Excel and PowerPoint. The course setup instructions provided in the first module of the course go into more detail about the hardware and software requirements.

Moduldetails

At the beginning of each data analysis project, you need to connect to a data source and prepare the data so that it can be used effectively by Tableau®. In this lesson, you will connect to and transform data.

Das ist alles enthalten

6 Plug-ins

As you work more and more with Tableau®, you will discover options and features that can elevate the quality and impact of your visualizations beyond basic charts. In this lesson, you will refine visualizations.

Das ist alles enthalten

5 Plug-ins

Connecting to and extracting from data sources is often only the first step in data analysis or creating visualizations. It's often necessary to manipulate that data to show insights and relationships. In this lesson, you will create calculated fields to find insights, use functions to manipulate data, and analyze data with table calculations.

Das ist alles enthalten

8 Plug-ins

While Tableau® allows any person who works with data to create visualizations and find insights, Tableau also supports many features that can be used for rigorous statistical analysis. In this lesson, you will perform statistical analysis, forecasting, and predictive modeling with Tableau.

Das ist alles enthalten

5 Plug-ins

Tableau® provides many ways for you to create visual representations of your data. You've already used quite a few of them, in fact. In this lesson, you'll investigate some additional chart types, maps, and get more experience with creating and formatting dashboards.

Das ist alles enthalten

6 Plug-ins

Tableau® provides many ways for you to share content and manage updates and notifications. In this lesson, you will publish and manage content.

Das ist alles enthalten

5 Plug-ins

As the need to analyze and visualize data-based information expands, more people in diverse job roles need access to data and visualizations. More importantly, they need to be able to get answers to data-related queries. To make access to data-based information easier, Tableau® has developed two technologies that allow users to ask questions of data, and identify the root cause of data anomalies. In this lesson, you will use the Explain Data feature and Tableau Pulse to get answers.