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Course Outline

Introduction

  • Configuring the Tableau environment
  • Introduction to Tableau Software capabilities
  • Exploring the Tableau user interface

Data Connectivity

  • Reviewing available data connection options
  • Data simplification and preparation techniques
  • Linking various database sources
  • Applying inner, outer, left, and right joins
  • Integrating multiple data sources within a single worksheet

Data Manipulation in Tableau

  • Incorporating multiple metrics into a view
  • Visualising correlations between numerical data
  • Displaying specific data points
  • Modifying and customising data presentation
  • Distinguishing between Dimensions and Measures
  • Data types and the difference between discrete and continuous measures

Calculation Development

  • Performing row-level calculations
  • Applying aggregate calculations
  • Handling numeric, string, and date-based calculations
  • Developing custom aggregations and calculated fields
  • Utilising quick table calculations
  • Manipulating date and time data

Table Calculations for Analysis

  • Using quick table calculations
  • Defining scope and direction
  • Managing addressing and partitioning

Data Organization and Filtering

  • Structuring your data effectively
  • Slicing data by specific dates
  • Simplifying and sorting datasets
  • Advanced filtering and visibility options
  • Exploring various ordering and grouping methods
  • Implementing Sorts, Groups, Bins, and Sets

Parameters in Tableau

  • Creating new parameters
  • Integrating parameters into calculated fields
  • Configuring parameter control options
  • Enhancing analytical depth and visual output using parameters

Visualisation Design

  • Creating cross tabs
  • Generating geographic maps, heat maps, and tree maps
  • Constructing pie and bar charts
  • Visualising date and time trends
  • Building stacked bars and area charts
  • Designing KPI indicators
  • Creating dual-axis and combined charts with varied mark types
  • Developing highlight tables
  • Plotting scatter graphs

Advanced Formatting

  • Adding labels
  • Configuring legends
  • Designing tooltips
  • Emphasising data with reference lines
  • Inserting annotations

Dashboard Storytelling

  • Establishing a dashboard framework
  • Implementing filter actions
  • Utilising parameters in dashboards
  • Applying highlight actions
  • Configuring URL actions

Trends and Prediction

  • Analysing and customising trend lines
  • Understanding data distributions
  • Performing forecasting analysis

Publishing and Sharing

  • Publishing completed dashboards
  • Managing extracts versus live connections
  • Handling metadata and sharing connections

Conclusion and Future Steps:

  • Final knowledge assessment and practical project
  • Recommended resources for continued learning

Requirements

No previous technical or analytical experience is necessary.

System Requirements:
None required

Target Audience:
This course is ideal for individuals who have never used Tableau before, those seeking to refresh their skills, or professionals wishing to deepen their understanding of the platform.

 28 Hours

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