The advent of cloud computing and storage has ushered in the era of "big 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 visualization

starstarstarstarstar

* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

In this course, you will perform advanced data visualization and data blending with Tableau. You will:
Blend data multiple sources.
Join data.
Access data in PDFs.
Refine visualizations with sets and parameters.
Analyze data with calculations.
Visualize data with advanced calculations.
Perform statistical analysis and forecasting.
Create geographic visualizations.
Get answers with Ask and Explain

1

  • Blending Data from Multiple Sources

  • Blend Data
    Refine Blends to Visualize Key Information
2

  • Joining Data

  • Create Joins
    Troubleshoot Joins
    Merge Data with Unions
3

  • Accessing Data in PDFs

  • Connect to PDFs
    Clean Up and Organize PDF Data
4

  • Refining Visualizations with Sets and Parameters

  • Create Sets
    Analyze Data with Sets
    Apply Parameters to Refine Visualizations
    Create Advanced Visualizations
5

  • Analyzing Data with Calculations

  • Create Calculated Fields to Analyze Data
    Manipulate Data with Functions
    Analyze Data with Table Calculations
6

  • Visualizing Data with Advanced Calculations

  • Create Groups and Bins with Calculations
    Analyze Data with LOD Expressions
7

  • Performing Statistical Analysis and Forecasting

  • Perform Statistical Analysis
    Forecast Data Trends
8

  • Creating Geographic Visualizations

  • Create Maps
    Customize Mapped Data
9

  • Getting Answers with Ask and Explain

  • Ask Data
    Explain Data

Audience

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 Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam.

Language

English

Prerequisites

To ensure your success in this course, you should have experience with importing data and creating data visualizations in Tableau. You can obtain this level of skill and knowledge by taking the following Logical Operations course: Tableau® Desktop: Part 1 (Second Edition) Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM) tools, as well as an understanding of database design concepts or a background in statistical analysis, will help you get even more out of Tableau. The following courses are helpful but not required: Google Analytics™: Foundation (Second Edition) Database Design: A Modern Approach Data Analysis and Visualization with Microsoft® Excel®

$1,310

Length: 2.0 days (16 hours)

Level:

Not Your Location? Change

Course Schedule:

Schedule select
26
Oct
Thursday
9:00 AM ET -
5:00 PM ET
Available
Schedule select
06
Dec
Wednesday
9:00 AM ET -
5:00 PM ET
Available
Schedule select
31
Jan
Wednesday
8:00 AM PT -
4:00 PM PT
Available
Schedule select
28
Mar
Thursday
9:00 AM ET -
5:00 PM ET
Available
Schedule select
22
May
Wednesday
9:00 AM ET -
5:00 PM ET
Available
Loading...