Tableau Desktop 2022 - A Complete Introduction
Date: 14 August 2022 | Posted by: voska89
Last updated 11/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.92 GB | Duration: 10h 24m
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 TableauВ 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 TableauВ 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 TableauВ 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 conceptsВ 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
Homepage
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