The Tableau 2018 Comprehensive Guide
The Tableau 2018 Comprehensive Guide, available at $49.99, has an average rating of 3.95, with 91 lectures, 3 quizzes, based on 164 reviews, and has 1123 subscribers.
You will learn about choose the best visualization type be familiar with the Tableau interface and Tableau terminology choose a suitable Tableau product writing custom codes for best results be a Tableau mentor for team colleagues perform hands on tasks in Tableau create custom visualizations troubleshooting This course is ideal for individuals who are Data scientists interested in data visualization or Business intelligence staff or Entrepreneurs willing to show data with Tableau or University students with a quantitative focus or Everybody interested in data visualization It is particularly useful for Data scientists interested in data visualization or Business intelligence staff or Entrepreneurs willing to show data with Tableau or University students with a quantitative focus or Everybody interested in data visualization.
Enroll now: The Tableau 2018 Comprehensive Guide
Summary
Title: The Tableau 2018 Comprehensive Guide
Price: $49.99
Average Rating: 3.95
Number of Lectures: 91
Number of Quizzes: 3
Number of Published Lectures: 91
Number of Published Quizzes: 3
Number of Curriculum Items: 94
Number of Published Curriculum Objects: 94
Original Price: $109.99
Quality Status: approved
Status: Live
What You Will Learn
- choose the best visualization type
- be familiar with the Tableau interface and Tableau terminology
- choose a suitable Tableau product
- writing custom codes for best results
- be a Tableau mentor for team colleagues
- perform hands on tasks in Tableau
- create custom visualizations
- troubleshooting
Who Should Attend
- Data scientists interested in data visualization
- Business intelligence staff
- Entrepreneurs willing to show data with Tableau
- University students with a quantitative focus
- Everybody interested in data visualization
Target Audiences
- Data scientists interested in data visualization
- Business intelligence staff
- Entrepreneurs willing to show data with Tableau
- University students with a quantitative focus
- Everybody interested in data visualization
Course Content:
- creating powerful data visualizations with Tableau – we cover the default graph types like scatterplots, barcharts, treemaps, heatmaps, boxplots, time series charts, various types of dual axis charts, maps, as well as self-designed visualizations
- learning the best data visualization techniques from planning to presenting the results
- implementing features of Tableau to create interactive data reports
- custom calculations using Tableau’s functions
- preparing and shaping your data
- managing multiple data connections
- I will also show you how to select a Tableau product which fits your needs – paid or free
- And there are many projects and exercises to practice and deepen your knowledge
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Do you want your data to be easily understood by everyone?
Do you want to create convincing charts?
Do you want a versatile graphics toolbox?
Do you want powerful formatting skills?
Do you want to highlight specific details of your data?
Well, if that is what you are looking for, congratulations – you just found it!
Tableau is a very powerful data visualization tool. Many businesses already used it and the number increases by the day. And that is no coincidence – Tableau visualizations of high quality can be produced fast, given you know Tableau!
In fact this is a very hands on course, you have plenty of opportunity and you are highly encouraged to participate in the many exercises.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Which Tableau Product to Choose
Lecture 2: Getting Help
Lecture 3: The Tableau Interface – A Quick Walkthrough
Chapter 2: Demo Project
Lecture 1: Selling Lures – The Story Behind Our First Project
Lecture 2: Your First Steps – Connecting to a Database & Building Your First Visualization
Lecture 3: The Show Me Tool – Picking a Suitable Chart Type
Lecture 4: Customization – Highlighting and Annotating Data Points
Lecture 5: Saving Workbooks – Workbook Types
Chapter 3: The Core of Tableau
Lecture 1: Aggregations – How is Your Data Processed Behind the Scenes?
Lecture 2: Calculated Fields – Custom Calculations in Tableau
Lecture 3: Note for Tableau Public users
Lecture 4: Filters – Ways to Search for Relevant Data
Lecture 5: Parameters – Make Your Graphs Interactive
Lecture 6: Exercise – Creating a 'TopN' Filter
Lecture 7: Table Calculations – How Do They Work in Theory?
Lecture 8: Table Calculations in Action
Lecture 9: Exercise – Ranking Products
Chapter 4: Working with Time Series Data in Tableau
Lecture 1: Time Series Data – Introduction to Data Roles
Lecture 2: Percent Difference – Representing Change in Values Over a Period of Time
Lecture 3: Moving Average – Create a Smoother Using Tableau's Interface
Lecture 4: Moving Average – Create a Smoother Using Custom Code
Lecture 5: Exercise – Defining a Time Frame for a Moving Average Calculation
Lecture 6: Creating a Forecasting Line
Lecture 7: Tableau's Integrated Forecasting Tool
Lecture 8: The Discrete Data Role
Lecture 9: Exercise – Year on Year Difference
Lecture 10: Monitoring Data – Relative Date Filtering
Lecture 11: Date Functions – A Summary
Lecture 12: Latest Order – Another Case of Relative Date Filtering
Lecture 13: Exercise – Combined Bars and Line Chart
Chapter 5: Small Things That Make Your Life Easier with Tableau
Lecture 1: Custom Hierarchies – Data Structuring in Tableau
Lecture 2: Groups – Data Structuring in Tableau
Lecture 3: Manual and Dynamic Sets – Data Structuring in Tableau
Lecture 4: Logical Statements – IF, IIF, CASE and Logical Operators
Lecture 5: How to Resolve a Common Error Message – Aggregation: Attribute
Lecture 6: Added Lines – Reference Line, Trend Lines, Drop Lines
Lecture 7: Show More Data – Labels, Tooltips, Cards and Highlighters
Chapter 6: Scatterplots
Lecture 1: Scatterplot – The Basics
Lecture 2: Add More Dimensions to Your Scatterplot
Lecture 3: Exercise – Dynamic Scatterplot
Lecture 4: Showing a Correlation Over Time – Animated Scatterplot
Lecture 5: Detecting Outliers – Circle View with Box Plots
Chapter 7: Maps in Tableau
Lecture 1: Tableau's Map Service – How to Create Maps in Tableau
Lecture 2: Dual Axis Map – Merge Symbol and Filled Maps
Lecture 3: Maps and Paths – Show Directions of Movement and Their Volume
Lecture 4: Custom Maps – Use Any Background for Maps
Lecture 5: Animated Map
Chapter 8: Reshaping, Joining and Data Blending
Lecture 1: Data Preparation – Get Your Data in Shape
Lecture 2: String Calculations – Splitting and Concatenating Strings
Lecture 3: Joins – Create a Row Level Connection Between Two Tables
Lecture 4: Data Blending – Connecting Data From Different Data Sources
Lecture 5: Calculations in a Blend
Lecture 6: Union – Extend Tables with Extra Rows
Lecture 7: Tableau File Types – Sharing Your Analysis
Chapter 9: Further Chart Types
Lecture 1: Histogram – Show the Distribution of Your Observations
Lecture 2: Modern Proportional Chart Types – Treemap and Packed Bubble Chart
Lecture 3: The Bump Chart – Show a Ranking Over Time
Lecture 4: The Gantt Chart – Time Management with Tableau
Lecture 5: The Gantt Chart – Daily Schedules
Lecture 6: Custom Waterfall Chart – Another Usage of the Gantt Chart
Lecture 7: Bullet Graphs – Compare Performance vs. Target
Lecture 8: The Lollipop Chart
Lecture 9: Wordcloud
Chapter 10: Dashboards and Presentation
Lecture 1: Introduction to Dashboards
Lecture 2: What Makes a Dashboard Great – Principles of Creating Effective Dashboards
Lecture 3: Actions – An Alternative Tool for Filtering and Highlighting
Lecture 4: Swapping Charts
Lecture 5: Presentation
Chapter 11: Level of Detail Expressions – LOD calcs
Lecture 1: What Are Level of Detail Expressions About?
Lecture 2: The Syntax of LOD Expressions
Lecture 3: The INCLUDE Keyword
Lecture 4: The EXCLUDE Keyword
Lecture 5: The FIXED Keyword
Lecture 6: Exercise: Calculating the Difference Between to LODs
Lecture 7: Comparing the Results of LOD Expressions
Lecture 8: LOD Expressions and Filters
Chapter 12: What's New in Tableau?
Lecture 1: How to Put a Visualization into a Tooltip?
Lecture 2: Viz in Tooltip Use Cases
Lecture 3: New Line Types: How to Best Use Jump and Step Lines
Lecture 4: Cluster Analysis
Lecture 5: Minor Updates to Version 2018.1
Chapter 13: Extra Section – Chart Guide
Lecture 1: Before You Begin… Planning and Asking Fundamental Questions
Lecture 2: Proportional Chart Types
Lecture 3: Charts for Data Comparison
Instructors
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R-Tutorials Training
Data Science Education
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 0 votes
- 3 stars: 12 votes
- 4 stars: 48 votes
- 5 stars: 102 votes
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