Pavel Nacev – Advanced Tableau – Data Model – CFI Education

Description

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Pavel Nacev – Advanced Tableau – Data Model – CFI Education
Advanced Tableau – Data Model
Discover the pros and cons of various data modeling approaches in Tableau, including joins, relationships, and blends.

Understand the conceptual differences between each data modeling approach
Understand the performance benefits of joins and relationships in specific scenarios
Trail and test joins, relationships, and blends to pick an optimal modeling method

Overview

Advanced Tableau – Data Model overview

This Advanced Tableau course provides next-level training for structuring and connecting data in Tableau to build elegant and professional models.
In this course, you’ll combine related data using joins, relationships, and blends to bring data into visuals. We’ll work through a scenario with evolving business requirements. These requirements will need more and more data added to our model as we progress. Each time you do this, you’ll be introduced to new options for joining, relating, and blending data, common problems, and methods for optimizing your data model for performance.
By the end, you’ll have learned to think more carefully about the structure of your data, the types of connections you should use, and the performance options that are best for your data.
Advanced Tableau – Data Model learning objectives
Upon completing this course, you will be able to:

Build a basic data model using Tableau’s relationship feature
Optimize data model relationships using performance tuning
Differentiate between joins, relationships, and blends
Adapt a data model based on an expanding set of requirements
Deal with common issues like nulls, many-to-many relationships, one-to-one relationships, and filtering
Understand how ETL tools can make life easier to create an optimal Star Schema

Who Should Take This Course?

This Tableau course is perfect for professionals who have a solid understanding of data analysis and want to expand their skill set to include basic data engineering in Tableau. This course is designed to equip anyone who desires to begin a career in business analysis—or other roles that require displaying and analyzing data sets—with the advanced skills to create dynamic data-viewing experiences.
What you’ll learn 

Lesson
Multimedia
Exams
Files

Introduction

Course Introduction

Learning Objectives

Download Student Files
A Basic Data Model

Chapter Intro – A Basic Data Model

What Is Tableau’s Data Model

Scenario Requirements & Data

Build a Basic Data Model

Row-level Calculations Using a Dimension

Basic Tree Map

Other Data and Course Scenarios
Exploring the Data Model

Chapter Introduction – Exploring the Data Model

Learning Points and Manager Data Scenario

Shipping Data – Requirements & Available Data

Returns Data – Requirements & Available Data

Targets – Requirements & Available Data

When to Join, Relate or Blend
ETL & Star Schema

Chapter Introduction – Data Model Review

Remodel the Many to Many Relationship

Remodel the Keys

Remodel the Fact Table

What is Tableau Prep

Remodeling in Tableau Prep

Star Schema Creation in Tableau Prep

Data Model Review
Course Review

Conclusion
Qualitative Assessment

Qualitative Assessment
What our students say
It was enlightening. I enjoyed every bit

The course was very detailed, and the instructor was so on point

Olanike AROWOLO
Well presented

This course clarifies a lot of things about tableau data models

Patrick Ramano
Very Informative

The course taught me many different ways to look at data and how to filter and manage calculations to arrive at the right answer

Scott LaBrec