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Course Outline

Introduction

  • Initial configuration of Tableau
  • General overview of the Tableau software ecosystem
  • Navigating the Tableau workspace and interface

Establishing Data Connections

  • Exploring available data source options
  • Streamlining and prepping data for analysis
  • Merging database sources
  • Applying inner, outer, left, and right joins
  • Blending diverse data sources within a single worksheet

Data Manipulation in Tableau

  • Incorporating multiple measures into a view
  • Visualizing correlations between numerical values
  • Focusing on specific data points
  • Personalizing data representations
  • Distinguishing between dimensions and measures
  • Understanding data types and the difference between discrete and continuous measures

Developing Calculations

  • Implementing row-level logic
  • Performing aggregate calculations
  • Handling numeric, string, and date-based calculations
  • Creating custom aggregations and calculated fields
  • Utilizing quick table calculations
  • Managing date and time elements

Advanced Analysis via Table Calculations

  • Applying quick table calculations
  • Defining calculation scope and direction
  • Understanding addressing and partitioning mechanisms

Data Organization, Filtering, and Grouping

  • Structuring data for clarity
  • Filtering data by time periods
  • Simplifying datasets and applying sorts
  • Utilizing advanced filtering and hiding features
  • Exploring various methods for ordering and grouping data
  • Working with sorts, groups, bins, and sets

Implementing Parameters

  • Creating new parameters
  • Incorporating parameters into calculated fields
  • Configuring parameter control options
  • Enriching analyses and visualizations through parameter use

Constructing Fundamental and Complex Visualizations

  • Building cross-tabulations
  • Creating geographic maps, heat maps, and tree maps
  • Generating pie and bar charts
  • Designing date and time visualizations
  • Building stacked bars and area charts
  • Displaying KPI metrics
  • Combining dual axes and mixed mark types
  • Creating highlight tables
  • Plotting scatter plots

Advanced Visual Formatting

  • Adding and configuring labels
  • Using legends effectively
  • Designing tooltips
  • Emphasizing data with reference lines
  • Incorporating annotations

Constructing Dashboards for Data Storytelling

  • Establishing a dashboard structure
  • Implementing filter interactions
  • Integrating parameters
  • Using highlight actions
  • Configuring URL actions

Trend Analysis and Forecasting

  • Interpreting and adjusting trend lines
  • Analyzing distributions
  • Generating forecasts

Distribution and Sharing

  • Publishing dashboards to the web
  • Managing data extracts versus live connections
  • Handling metadata and sharing connection details

Review and Future Directions:

  • Final knowledge assessment and practical project
  • Recommended resources for continued professional development

Requirements

No previous experience in technical or analytical fields is necessary to participate.

System Requirements:
None specified

Intended Audience:
This program is tailored for individuals with no prior exposure to Tableau, those seeking to reinforce existing knowledge, or professionals aiming to deepen their understanding of the platform.

 28 Hours

Number of participants


Price per participant

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