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Tableau Desktop – A Complete Introduction

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Tableau Desktop – A Complete Introduction, available at $79.99, has an average rating of 4.5, with 107 lectures, based on 302 reviews, and has 2233 subscribers.

You will learn about 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 This course is ideal for individuals who are Complete data analysis and business intelligence beginners who want to start their career in these fields or Tableau beginners with some data analysis experience who want to explore the tool or Students with prior experience with other data analysis tools who want to broaden their horizon It is particularly useful for Complete data analysis and business intelligence beginners who want to start their career in these fields or Tableau beginners with some data analysis experience who want to explore the tool or Students with prior experience with other data analysis tools who want to broaden their horizon.

Enroll now: Tableau Desktop – A Complete Introduction

Summary

Title: Tableau Desktop – A Complete Introduction

Price: $79.99

Average Rating: 4.5

Number of Lectures: 107

Number of Published Lectures: 106

Number of Curriculum Items: 111

Number of Published Curriculum Objects: 110

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

  • 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

Target Audiences

  • 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

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 datasetbased 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 hadwhen 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 Platform

  • Dive into a typical data analysis project workflow

  • Understand the data source segment of Tableau Desktop and connect Tableau Desktop to various source types

  • Understand the differences between data preparation and data analysis & visualization

  • 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

  • Build various visuals (line-chart, bar-chart, treemap, map, scatter plot and more)

  • Understand how to create interactive dashboards and stories

  • And 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 visualization

Course prerequisites:

  • 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

Course Curriculum

Chapter 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

Chapter 2: Understanding the Tableau Platform & Tableau Desktop

Lecture 1: Module Introduction

Lecture 2: Diving Deeper Into the Tableau Platform

Lecture 3: Tableau Public vs Tableau Desktop

Lecture 4: Understanding the Updated Tableau Versioning

Lecture 5: Avoiding the "Save Project" Bug

Lecture 6: How to Use the Attached Project Files

Lecture 7: Recommended Tableau Settings

Lecture 8: Useful Resources & Links

Chapter 3: Preparing Data in Tableau Desktop

Lecture 1: Module Introduction

Lecture 2: Understanding the Tableau Desktop Workflow

Lecture 3: How to Use the Data Source Tab

Lecture 4: Connecting Tableau to Data: "Extract" vs "Live"

Lecture 5: Understanding Union – The Theory

Lecture 6: How Union Works in Tableau

Lecture 7: Combining Tables in our Project with "Union"

Lecture 8: Editing Columns

Lecture 9: The "Refresh" Bug

Lecture 10: Formatting Columns

Lecture 11: Working with Rows

Lecture 12: Understanding Number Filters

Lecture 13: Working with String Filters

Lecture 14: Pivoting Data

Lecture 15: Understanding Aliases

Lecture 16: OPTIONAL: Calculated Fields Theory

Lecture 17: OPTIONAL: Building Block & Syntax

Lecture 18: OPTIONAL: Understanding Number Functions

Lecture 19: OPTIONAL: String Functions

Lecture 20: OPTIONAL: How Type Conversion Works

Lecture 21: OPTIONAL: Understanding Logical Functions

Lecture 22: Replacing Values with Calculated Fields

Lecture 23: Splitting Fields

Lecture 24: Grouping Members

Lecture 25: Joining Tables – Theory

Lecture 26: The Join Feature in Practice

Lecture 27: Cleaning Up our Project

Lecture 28: Wrap Up

Lecture 29: Useful Resources & Links

Chapter 4: Analyzing & Visualizing Data in Tableau Desktop

Lecture 1: Module Introduction

Lecture 2: Another Look at the Workflow

Lecture 3: The Worksheet Interface

Lecture 4: Dimensions vs Measures

Lecture 5: Creating Line & Area Charts

Lecture 6: Understanding Relationships & Data Blending

Lecture 7: Adding Relationships to our Project

Lecture 8: Understanding Bar Charts & Tooltips

Lecture 9: Discrete & Continous Data in Tableau

Lecture 10: Discrete & Continuous Data in Practice

Lecture 11: Understanding the Default Aggregation

Lecture 12: Diving Into Aggregate Calculations

Lecture 13: Understanding the "Measure Names" & "Measure Values" Fields

Lecture 14: Working with Blend and Dual Axes

Lecture 15: Diving Deeper Into Filters – Theory

Lecture 16: Understanding Filters on Measures & Dimensions

Lecture 17: Creating Filters Directly in the Visual

Lecture 18: Understanding the Context Filter

Lecture 19: Applying Filters to Multiple Worksheets

Lecture 20: Understanding Hierarchies

Lecture 21: Sorting Axis Values

Lecture 22: Understanding Marks

Lecture 23: Legends & Filter Cards

Lecture 24: Applying Color Palettes

Lecture 25: Formatting Workbooks

Lecture 26: Formatting Single Worksheets

Lecture 27: Optional: Styling our Project

Lecture 28: Creating Text & Highlight Tables

Lecture 29: Understanding Quick Table Calculations

Lecture 30: Creating Own Table Calculations

Lecture 31: Creating a Scatter Plot

Lecture 32: Groups vs Sets – Theory

Lecture 33: Adding Sets to our Project

Lecture 34: Level of Detail (LoD) Calculations – Theory

Lecture 35: Applying LoD Calculations in Practice

Lecture 36: Creating Folders

Lecture 37: Working with Bins

Lecture 38: Groups vs Sets vs Bins

Lecture 39: Creating Maps

Lecture 40: Interacting with the Map

Lecture 41: Understanding Filled Maps & Layers

Lecture 42: Understanding Parameters in Filters

Lecture 43: Using Parameters in Calculations

Lecture 44: Wrap Up

Lecture 45: Useful Resources & Links

Instructors

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 4 votes
  • 3 stars: 21 votes
  • 4 stars: 109 votes
  • 5 stars: 167 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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