Tableau Desktop 2022 - A Complete Introduction

A Comprehensive Guide on Business Intelligence with Tableau Desktop 2019+ to Prepare, Analyze and Visualize Data

What you'll learn
Understand Tableau Desktop and use it in your own data analysis projects
Get to know Tableau Desktop and understand its position within the Tableau Platform
Learn and apply the core Tableau Desktop features for data preparation, analysis and visualization
Dive into a typical data analysis project workflow
Understand the data source segment of Tableau Desktop and connect Tableau Desktop to various source types
Build various visuals (line-chart, bar-chart, treemap, map, scatter plot and more)
Dive into calculated fields - Basic calculations, level of detail expressions & table calculations, all covered in the course
Understand the differences between groups and sets
Learn how to create and add parameters to filters and calculations
Create bin charts from scratch
Use data blending to establish relationships and to connect tables from different data sources
Understand how to create interactive dashboards and stories
Get the required knowledge to dive deeper into Tableau and into additional tools within the Tableau Platform
Requirements
Tableau is available for Windows (Windows 7 64bit or higher) or macOS
NO prior experience with other business intelligence tools is required
NO prior data analysis knowledge is required
Description
You want to get started with data analysis? You also want an easy-to-use, fast and intuitive tool to do so? You want to learn how to easily create your own dataset based on multiple source files? You want to create impressive and insightful visuals in no time? Then Tableau Desktop is the tool you were looking for! Take the chance and join this practical oriented course and learn all you need to easily take your first steps in your own data analysis projects!Having worked as a business analyst in a major consultancy, I know the difficulties when learning a new technology. That's why I created this course, the Tableau course I wish I had when I did my first steps in Tableau!NO prior Tableau or data analysis knowledge is required and while following along an interactive course project, we'll dive into Tableau Desktop's powerful features in a comprehensive course journey. Data preparation, data analysis, adding calculations, establishing relationships, dashboards and so much more - all covered in this course made for everyone but tailored for beginners!This course goes beyond Tableau's simple drag-and-drop interface though. Tableau offers more than creating charts, so we'll dive into its core features along the entire data analysis project workflow from source file up to final dashboard!Here's what's included in the course:Get to know Tableau Desktop and understand its position within the Tableau PlatformDive into a typical data analysis project workflowUnderstand the data source segment of Tableau Desktop and connect Tableau Desktop to various source typesUnderstand the differences between data preparation and data analysis & visualizationDive into calculated fields - Basic calculations, level of detail expressions & table calculations, all covered in the courseUnderstand the differences between groups and setsLearn how to create and add parameters to filters and calculationsCreate bin charts from scratchUse data blending to establish relationships and to connect tables from different data sourcesBuild various visuals (line-chart, bar-chart, treemap, map, scatter plot and more)Understand how to create interactive dashboards and storiesAnd so much more!This course is for you if......never worked with Tableau Desktop before...heard about Tableau but you're not sure whether Tableau fits your project requirements...want to get started with data analysis with a hands-on business intelligence tool...want to understand the basic concepts of a typical data analysis project workflow from data preparation over data analysis up to visualizationCourse prerequisites:Tableau is available for Windows (Windows 7 64bit or higher) or macOSNO prior experience with other business intelligence tools is requiredNO prior data analysis knowledge is required

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What is the Tableau Platform?

Lecture 3 Join our Online Learning Community

Lecture 4 Course Approach & System Requirements

Lecture 5 First Project 1/3 - Installing Tableau Desktop & Connecting it to Data

Lecture 6 First Project 2/3 - Preparing & Cleaning Data

Lecture 7 First Project 3/3 - Creating our First Charts

Lecture 8 Course Outline

Lecture 9 How to Get the Most out of This Course

Lecture 10 Useful Resources & Links

Section 2: Understanding the Tableau Platform & Tableau Desktop

Lecture 11 Module Introduction

Lecture 12 Diving Deeper Into the Tableau Platform

Lecture 13 Tableau Public vs Tableau Desktop

Lecture 14 Understanding the Updated Tableau Versioning

Lecture 15 Avoiding the "Save Project" Bug

Lecture 16 How to Use the Attached Project Files

Lecture 17 Recommended Tableau Settings

Lecture 18 Useful Resources & Links

Section 3: Preparing Data in Tableau Desktop

Lecture 19 Module Introduction

Lecture 20 Understanding the Tableau Desktop Workflow

Lecture 21 How to Use the Data Source Tab

Lecture 22 Connecting Tableau to Data: "Extract" vs "Live"

Lecture 23 Understanding Union - The Theory

Lecture 24 How Union Works in Tableau

Lecture 25 Combining Tables in our Project with "Union"

Lecture 26 Editing Columns

Lecture 27 The "Refresh" Bug

Lecture 28 Formatting Columns

Lecture 29 Working with Rows

Lecture 30 Understanding Number Filters

Lecture 31 Working with String Filters

Lecture 32 Pivoting Data

Lecture 33 Understanding Aliases

Lecture 34 OPTIONAL: Calculated Fields Theory

Lecture 35 OPTIONAL: Building Block & Syntax

Lecture 36 OPTIONAL: Understanding Number Functions

Lecture 37 OPTIONAL: String Functions

Lecture 38 OPTIONAL: How Type Conversion Works

Lecture 39 OPTIONAL: Understanding Logical Functions

Lecture 40 Replacing Values with Calculated Fields

Lecture 41 Splitting Fields

Lecture 42 Grouping Members

Lecture 43 Joining Tables - Theory

Lecture 44 The Join Feature in Practice

Lecture 45 Cleaning Up our Project

Lecture 46 Wrap Up

Lecture 47 Useful Resources & Links

Section 4: Analyzing & Visualizing Data in Tableau Desktop

Lecture 48 Module Introduction

Lecture 49 Another Look at the Workflow

Lecture 50 The Worksheet Interface

Lecture 51 Dimensions vs Measures

Lecture 52 Creating Line & Area Charts

Lecture 53 Understanding Relationships & Data Blending

Lecture 54 Adding Relationships to our Project

Lecture 55 Understanding Bar Charts & Tooltips

Lecture 56 Discrete & Continous Data in Tableau

Lecture 57 Discrete & Continuous Data in Practice

Lecture 58 Understanding the Default Aggregation

Lecture 59 Diving Into Aggregate Calculations

Lecture 60 Understanding the "Measure Names" & "Measure Values" Fields

Lecture 61 Working with Blend and Dual Axes

Lecture 62 Diving Deeper Into Filters - Theory

Lecture 63 Understanding Filters on Measures & Dimensions

Lecture 64 Creating Filters Directly in the Visual

Lecture 65 Understanding the Context Filter

Lecture 66 Applying Filters to Multiple Worksheets

Lecture 67 Understanding Hierarchies

Lecture 68 Sorting Axis Values

Lecture 69 Understanding Marks

Lecture 70 Legends & Filter Cards

Lecture 71 Applying Color Palettes

Lecture 72 Formatting Workbooks

Lecture 73 Formatting Single Worksheets

Lecture 74 Optional: Styling our Project

Lecture 75 Creating Text & Highlight Tables

Lecture 76 Understanding Quick Table Calculations

Lecture 77 Creating Own Table Calculations

Lecture 78 Creating a Scatter Plot

Lecture 79 Groups vs Sets - Theory

Lecture 80 Adding Sets to our Project

Lecture 81 Level of Detail (LoD) Calculations - Theory

Lecture 82 Applying LoD Calculations in Practice

Lecture 83 Creating Folders

Lecture 84 Working with Bins

Lecture 85 Groups vs Sets vs Bins

Lecture 86 Creating Maps

Lecture 87 Interacting with the Map

Lecture 88 Understanding Filled Maps & Layers

Lecture 89 Understanding Parameters in Filters

Lecture 90 Using Parameters in Calculations

Lecture 91 Wrap Up

Lecture 92 Useful Resources & Links

Section 5: Creating Dashboard & Stories

Lecture 93 Module Introduction

Lecture 94 Current Project Status

Lecture 95 Creating Dashboards & Layouts

Lecture 96 Understanding Objects

Lecture 97 Working with Objects

Lecture 98 Tiled vs Floating Objects

Lecture 99 Formatting & Positioning Legends

Lecture 100 Understanding Interactivity & Actions

Lecture 101 Styling our Dashboard

Lecture 102 Introducing Stories

Lecture 103 Useful Resources & Links

Section 6: Course Roundup

Lecture 104 Next Steps

Lecture 105 Wrap Up

Lecture 106 Bonus: More Content!

Complete data analysis and business intelligence beginners who want to start their career in these fields,Tableau beginners with some data analysis experience who want to explore the tool,Students with prior experience with other data analysis tools who want to broaden their horizon

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