Tableau Desktop: Part 2

Tableau Desktop: Part 2

This course is part of Tableau Mastery Specialization

Instructor: Bill Rosenthal

Access provided by KL University

8 modules

Gain insight into a topic and learn the fundamentals.

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

8 modules

Gain insight into a topic and learn the fundamentals.

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Connect to diverse data repositories, shape records in Tableau Prep, and combine datasets using relationships, joins, blends, or unions.
Isolate data using advanced filters, dynamic parameters, level of detail (LOD) expressions, and custom table calculations.
Build predictive models, forecast trends, design interactive dashboards, and leverage AI insights via Tableau Pulse.
Learn by doing. Perform guided, step-by-step hands-on activities on your own computer.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

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Build your subject-matter expertise

This course is part of the Tableau Mastery Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 8 modules in this course

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.

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.

What's included

6 plugins

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.

What's included

5 plugins

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.

What's included

8 plugins

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.

What's included

5 plugins

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.

What's included

6 plugins

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

What's included

5 plugins

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.