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Course Outline

Introduction

  • Setting up Tableau
  • Overview of Tableau Software
  • Navigating the Tableau User Interface

Connecting to Data

  • Available data connection options
  • Data simplification and preparation
  • Joining database sources
  • Inner, outer, left, and right joins
  • Blending diverse data sources within a single worksheet

Working with Data in Tableau

  • Utilizing multiple measures in a view
  • Visualizing relationships between numerical values
  • Viewing specific data points
  • Customizing data representations
  • Distinguishing between Dimensions and Measures
  • Data types: discrete versus continuous for measures

Creating Calculations in Tableau

  • Row-level calculations
  • Aggregate calculations
  • Numeric, string, and date-based calculations
  • Custom aggregations and calculated fields
  • Quick table calculations
  • Handling dates and time values

Analyzing Data with Table Calculations

  • Quick table calculations
  • Defining scope and direction
  • Addressing and partitioning

Organizing, Filtering, Sorting & Grouping

  • Data organization techniques
  • Filtering data by date
  • Simplifying and sorting datasets
  • Advanced filtering and visibility options
  • Exploring various ordering and grouping methods
  • Sorting, Groups, Bins, and Sets

Parameters in Tableau

  • Creating parameters
  • Incorporating parameters into calculated fields
  • Parameter control configurations
  • Enhancing analysis and visuals using parameters

Building Basic and Advanced Visualizations

  • Cross-tabulations
  • Geographic maps, heat maps, and treemaps
  • Pie and bar charts
  • Date and time visualizations
  • Stacked bar and area charts
  • KPI indicators
  • Dual-axis and combined charts with varied mark types
  • Highlight tables
  • Scatter plots

Advanced Formatting

  • Data labels
  • Legends
  • Tooltips
  • Reference lines for data highlighting
  • Annotations

Telling a Data Story with Dashboards

  • Dashboard architecture
  • Filter actions
  • Dynamic parameters
  • Highlight actions
  • URL actions

Trends and Forecasting

  • Customizing and interpreting trend lines
  • Distribution analysis
  • Forecasting techniques

Sharing Your Work

  • Publishing dashboards
  • Utilizing extracts versus live connections
  • Managing metadata and sharing connections

Summary and Next Steps:

  • Final knowledge test and hands-on project
  • Recommended resources for continued learning

Requirements

No prior technical or analytical experience is necessary.

Setup Requirements:
None

Target Audience:
This course is ideal for learners who have never used Tableau, those seeking to refresh their skills, or individuals aiming to explore the platform in greater depth.

 28 Hours

Number of participants


Price per participant

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