APTABLEAU2 - Tableau Desktop: Part 2

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 visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data driven insights with peers, executives, and clients.

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

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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
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
Data Analysis and Visualization with Microsoft® Excel®

Detailed Class Syllabus

Lesson 1: Blending Data from Multiple Sources

Topic A: Blend Data
Topic B: Refine Blends to Visualize Key Information

Lesson 2: Joining Data

Topic A: Create Joins
Topic B: Troubleshoot Joins
Topic C: Merge Data with Unions

Lesson 3: Accessing Data in PDFs

Topic A: Connect to PDFs
Topic B: Clean Up and Organize PDF Data

Lesson 4: Refining Visualizations with Sets and Parameters

Topic A: Create Sets
Topic B: Analyze Data with Sets
Topic C: Apply Parameters to Refine Visualizations
Topic D: Create Advanced Visualizations

Lesson 5: Analyzing Data with Calculations

Topic A: Create Calculated Fields to Analyze Data
Topic B: Manipulate Data with Functions
Topic C: Analyze Data with Table Calculations

Lesson 6: Visualizing Data with Advanced Calculations

Topic A: Create Groups and Bins with Calculations
Topic B: Analyze Data with LOD Expressions

Lesson 7: Performing Statistical Analysis and Forecasting

Topic A: Perform Statistical Analysis
Topic B: Forecast Data Trends

Lesson 8: Creating Geographic Visualizations

Topic A: Create Maps
Topic B: Customize Mapped Data

Lesson 9: Getting Answers with Ask and Explain

Topic A: Ask Data
Topic B: Explain Data