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 Duration 14 hours

Course Outline

Introduction and Initial Setup

Filtering, Sorting, and Grouping

  1. Advanced techniques for filtering and hiding elements
  2. Exploring various methods for ordering and grouping data
  3. Managing Sorts, Groups, Bins, and Sets
  4. Understanding the interplay between these options

Managing Data in Tableau

  1. Distinguishing between Dimensions and Measures
  2. Navigating data types: Discrete vs. Continuous
  3. Joining different database sources
  4. Applying Inner, Left, and Right joins
  5. Blending multiple data sources within a single worksheet
  6. Utilizing extracts in place of live connections
  7. Addressing common data quality issues
  8. Handling metadata and sharing connections

Data Calculations and Statistical Analysis

  1. Performing row-level calculations
  2. Executing aggregate calculations
  3. Carrying out arithmetic, string, and date-based calculations
  4. Developing custom aggregations and calculated fields
  5. Implementing control-flow logic
  6. Understanding the underlying processing
  7. Applying advanced statistical methods
  8. Working with date and time data

Table Calculations

  1. Using quick table calculations
  2. Defining scope and direction
  3. Addressing and partitioning data
  4. Mastering advanced table calculation techniques

Advanced Geographic Techniques

  1. Constructing basic maps
  2. Configuring geographic fields and map options
  3. Customizing geographic views
  4. Integrating Web Map Service
  5. Visualizing non-geographic data using background images
  6. Essential mapping best practices
  7. Performing distance calculations

Utilizing Parameters in Tableau

  1. Creating and managing parameters
  2. Incorporating parameters into calculated fields
  3. Configuring parameter control options
  4. Enhancing analysis and visualizations through parameter usage

Creating Advanced Chart Visualizations

  1. Variations of bar charts, including bullets, bar-in-bar, and highlight charts
  2. Date and time visualizations, such as Gantt charts
  3. Stacked bars, treemaps, area charts, and pie charts
  4. Heat maps
  5. KPI charts
  6. Pareto charts
  7. Bullet charts

Advanced Formatting

  1. Managing labels
  2. Configuring legends
  3. Using highlighting features
  4. Adding annotations

Narrating Data Stories with Dashboards

  1. Establishing a dashboard framework
  2. Implementing filter actions
  3. Applying highlight actions
  4. Setting up URL actions
  5. Creating cascading filters

Trends and Forecasting

  1. Understanding and customizing trend lines
  2. Analyzing distributions
  3. Performing forecasting

Integrating Tableau with R for Advanced Analytics

  1. Incorporating various R-based data analytics methods upon participant request

Requirements

  • A solid grasp of Tableau fundamentals, such as establishing data connections and creating basic visualizations
  • Practical experience in constructing dashboards and worksheets using Tableau
  • Familiarity with core concepts in data analysis and visualization

Target Audience

  • Data analysts aiming to elevate their Tableau proficiency
  • Business intelligence professionals engaged in data visualization tasks
  • Advanced Excel or reporting tool users looking to transition to Tableau

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