Tableau Desktop Accelerated Training

Training:
Tableau Desktop I Fundamentals

October 30 - October 31 | Brussels | €1.250 pp

Ramp up on Tableau Desktop quickly with our Biztory in-person training sessions.
This course is designed for Tableau beginners—anyone who works with data, regardless of their technical or analytical background. If you’re an author, analyst, designer, data scientist, or admin who’s new to Tableau, start here. This course supports authoring in Tableau Desktop, Tableau Cloud, and Tableau Server.

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Learn how to get answers from data. Easier. Faster.

If you're looking for a better way to get easier, faster answers from data by leveling up your Tableau Desktop skills, this 2-day training is for you. During this extensive training you'll learn how to get the best out of Tableau and how you should approach data-driven storytelling. Join Biztory's leading analytics team and get ready to move from data to actionable insights that move your business forward.

When you complete this course, you will be able to:

  • Connect to data and edit a data source.
  • Sort, filter, and group data.
  • Use the Tableau workspace to create a range of essential and advanced chart types for analysis.
  • Combine data from multiple tables using joins, unions, and relationships.
  • Use extracts to improve performance.
  • Create basic and more advanced calculations, including table calculations, to modify data as needed for analysis.
  • Use statistical techniques to analyze data.
  • Use parameters and input controls to support audience analysis.
  • Build interactive dashboards to reveal data insights, using techniques for guided analytics, interactive dashboard design, and visual best practices.
  • Describe how to share and publish visualizations.

Prework: How to prepare for this Training?

Prepare for the course with this Trailmix and learn how to connect to your data and navigate the Tableau interface.

Your Biztory Tableau Certified Trainer

Charles Laporte is a senior analytics consultant at Biztory.

Biztory is a European data consultancy helping companies succeed by implementing hassle-free data analytics. By utilizing a modern data stack approach, we help our clients unlock the digital insights needed to run efficient, trustworthy businesses. Our team of experts can support e-commerce organizations with the set up and implementation of integrated insights of end-to-end delivery processes and more.

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Register for this Tableau Desktop I Fundamentals training today...


Who is this training for?

Business analyst, Data Analyst, End User, Business User

Duration & Price?

In-person: 2 Days - Lunch & drinks included!
Price: €1.250 per person

Location?

Regus Diegem Pegasuslaan, Pegasuslaan 5, 1831 Diegem

When?

October 30 - 31, 2024

Agenda?

To see the full agenda and list of topics that will be covered during this Tableau Desktop I Fundamentals training, scroll down. 👇

Training Agenda & Topics

01. Introduction to Tableau
  • The Tableau Platform
  • Application Terminology
  • Visual Cues for Fields
  • Getting Started in Tableau
  • Understanding Permissions in Tableau
  • Navigating a Tableau Site
02. Setting up connections & data sources
  • Tableau File Types and Extensions
  • Creating a Live Data Connection
  • Saving and Editing a Data Source
  • Modifying Data Attributes
03. Simplifying and sorting your data
  • Data Filtering
  • Creating Date Filters
  • Nested Sorting and Context Filters
  • Sorting
04. Organizing your data
  • Using Groups
  • Creating and Using Hierarchies
05. Viewing specific values
  • Creating Crosstabs
  • Grand Totals, Subtotals, and Changing Aggregation
  • Creating Highlight Tables
06. Slicing your data by date
  • Working with Dates in Tableau
  • Using Discrete Date Parts and Continuous Date Values
07. Using multiple measures in a view
  • Using Measure Values and Measure Names in a View
  • Combined or Shared Axis Charts
  • Creating Dual Axis Charts
08. Showing the relationships between numerical values
  • Showing Correlations and Outliers with Scatter Plots
  • Create a Scatter Plot
  • Analyze Using the Highlighter
  • Analyze an Outlier Using Explain Data
  • Using the Analytics Pane
  • Trend Lines and Trend Model
  • Reference Lines and Bands
09. Data connection options
  • Data Connections Page
  • Physical and Logical Layers
  • Connecting to Single- and Multi-table Data Sources
  • Migrated Data Sources
  • The Data Pane User Interface
  • View Data
  • Joins (Inner, Left and Right, Full Outer)
  • Unions
  • Merging Fields
  • Relationship Levels of Detail
  • Setting up a Relationship Between Tables
  • Joins vs. Relationships
  • Relationships, Joins, Unions and Blends
  • Combining Data Decision Tree
  • Creating Relationships Between Tables from Different Databases
10. Data extracts
  • Using Data Extracts
  • Configuring and Running an Extract
  • Logical Table vs. Physical Table Extracts
11. Customizing your data
  • Using Calculations in Tableau
  • Calculation Types
  • Creating and Editing Calculated Fields
  • Formula Editor Conventions
  • Types of Calculated Fields - Examples
  • Calculations and Aggregations
  • String Functions
  • Split and Custom Split
  • Type Conversions
  • Date Calculations - Examples
  • Join Calculations
  • LOD Expressions
  • Syntax and Calculation Types
12. Analyzing data with quick table calculations
  • Table Calculation Overview
  • Using Quick Table Calculations
13. Showing breakdowns of the whole
  • Pie Charts and Parts of the Whole
  • Creating Tree Maps
14. Advanced table calculations
  • Tips for Learning Table Calculations
  • Levels of Control
  • Table Calculation Scope and Direction
  • Table Calculation Specific Dimension
  • Other Scope and Direction Options
  • Null Values in Table Calculations
  • Using Rank to Show Biggest to Smallest
  • Table Calculations for Statistical Analysis
15. Creating and using parameters
  • Using Parameters
  • Parameters and Filters
  • Using Parameters with Reference Lines
16. Comparing measures
  • Comparing Two Measures (Bar in Bar Chart)
  • Comparing Progress Toward a Goal (Bullet Graph)
17. Defining subsets of your data
  • Using Sets
  • Combined Sets
  • In and Out Sets
18. Viewing distributions
  • Bins and Histograms
  • Box and Whisker Plots
19. Dashboards
  • Planning Your Dashboard
  • Building Your Dashboard
  • Add Interactivity with Filters and Actions
  • Adding Actions to Your Dashboard
  • Additional Dashboard Actions
  • Set Actions
  • Parameter Actions
  • Visual Best Practices
  • Add Instructions & Annotations
  • Tooltips
  • Remove Chart Extras
  • Publish Your Dashboard Online

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