Tableau Desktop – A Complete Introduction
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:
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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…
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…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:
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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
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Academind by Maximilian Schwarzmüller
Online Education -
Manuel Lorenz
Professional Business Analyst and Instructor
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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