APTABLEAU1 - Tableau Desktop: Part 1

As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.

The creation of data-backed visualizations is a key way data scientists, or any professional, can 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. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.

Instructor did a great job, from experience this subject can be a bit dry to teach but he was able to keep it very engaging and made it much easier to focus. Student

Excellent presentation skills, subject matter knowledge, and command of the environment. Student

Instructor was outstanding. Knowledgeable, presented well, and class timing was perfect. Student

Click here to print this page »

Prerequisites

To ensure your success in this course, you should have experience managing data with Microsoft® Excel® or Google Sheets™. You can obtain this level of skills and knowledge by taking the following Logical Operations courses:
Microsoft® Excel® for Office 365™/2019: Part 1
Microsoft® Excel® for Office 365™/2019: Part 2
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
Database Design: A Modern Approach
Microsoft® Excel® for Office 365™: Dashboards

Detailed Class Syllabus

Lesson 1: Tableau Fundamentals

Topic A: Overview of Tableau
Topic B: Navigate and Configure Tableau

Lesson 2: Connecting to and Preparing Data

Topic A: Connect to Data
Topic B: Build a Data Model
Topic C: Save Workbook Files
Topic D: Prepare Data for Analysis

Lesson 3: Exploring Data

Topic A: Create Views
Topic B: Customize Data in Visualizations

Lesson 4: Managing, Sorting, and Grouping Data

Topic A: Adjust Fields
Topic B: Sort Data
Topic C: Group Data

Lesson 5: Saving, Publishing, and Sharing Data

Topic A: Save Data Sources
Topic B: Publish Data Sources and Visualizations
Topic C: Share Workbooks for Collaboration

Lesson 6: Filtering Data

Topic A: Configure Worksheet Filters
Topic B: Apply Advanced Filter Options
Topic C: Create Interactive Filters

Lesson 7: Customizing Visualizations

Topic A: Format and Annotate Views
Topic B: Emphasize Data in Visualizations
Topic C: Create Animated Workbooks
Topic D: Best Practices for Visual Design

Lesson 8: Creating Dashboards in Tableau

Topic A: Create Dashboards
Topic B: Enhance Dashboards with Actions
Topic C: Create Mobile Dashboards

Lesson 9: Creating Stories in Tableau

Topic A: Create Stories
Topic B: Enhance Stories with Tooltips