Tableau Beginner

Skill Goal:

Develop foundational understanding of Tableau Desktop and its interface components.

Skills Developed:

• Understand Tableau Desktop capabilities and use cases

• Navigate shelves, cards, menus, and workspace layout

• Differentiate between dimensions and measures

• Interpret the Tableau data pane and analytics features

Sprint Outcome:

Ability to confidently navigate Tableau Desktop and understand its core analytical components.

Skill Goal:

Connect Tableau to multiple data sources and manage data connections effectively.

Skills Developed:

• Connect to Excel, CSV, and database sources

• Understand live vs. extract connections

• Manage and modify data sources within Tableau

• Refresh and maintain data connections

Sprint Outcome:

Ability to connect, manage, and prepare data sources for analysis in Tableau.

Skill Goal:

Combine and structure multiple data tables for comprehensive analysis.

Skills Developed:

• Understand joins, relationships, and data blending

• Create joins between multiple tables

• Establish logical relationships for accurate analysis

• Validate combined datasets for reporting accuracy

Sprint Outcome:

Ability to combine multiple datasets for meaningful business analysis.

Skill Goal:

Prepare and transform raw data into analysis-ready datasets.

Skills Developed:

• Apply data preparation techniques in Tableau

• Pivot and unpivot data structures

• Use Data Interpreter for cleaning datasets

• Create and manage calculated fields

Sprint Outcome:

Ability to transform raw data into structured datasets ready for visualization.

Skill Goal:

Enhance analysis through dynamic filtering and parameter controls.

Skills Developed:

• Apply dimension and measure filters

• Implement Top N and context filters

• Create and configure parameters

• Build interactive filtering experiences

Sprint Outcome:

Ability to refine and control data views dynamically for deeper insights.

Skill Goal:

Categorize and segment data for advanced analytical insights.

Skills Developed:

• Group related data for simplified analysis

• Create and manage sets for highlighting data

• Build bins for numerical range analysis

• Apply segmentation techniques for business insights

Sprint Outcome:

Ability to structure and segment data for clearer analytical interpretation.

Skill Goal:

Apply calculations to derive meaningful business metrics.

Skills Developed:

• Create regular calculated fields

• Implement table calculations

• Understand and apply Level of Detail (LOD) expressions

• Analyze aggregated and granular data perspectives

Sprint Outcome:

Ability to perform analytical calculations and derive actionable insights.

Skill Goal:

Design effective data visualizations for business reporting.

Skills Developed:

• Build tables, bar charts, line charts, pie charts, and scatter plots

• Select appropriate chart types for business scenarios

• Apply formatting and customization techniques

• Improve readability and visual clarity

Sprint Outcome:

Ability to create clear, professional visualizations that communicate insights effectively.

Skill Goal:

Build interactive dashboards that support decision-making.

Skills Developed:

• Apply dashboard layout and design principles

• Integrate filters, parameters, and dashboard actions

• Create interactive user experiences

• Optimize dashboards for performance and usability

Sprint Outcome:

Ability to design interactive, business-ready dashboards using Tableau.

Project Goal:

Design, build, and present an interactive Tableau dashboard that analyzes a real-world business dataset and delivers actionable insights.

Skills Demonstrated:

• Connect and prepare real-world datasets

• Combine multiple data sources using joins and relationships

• Apply calculated fields and advanced analytics

• Create meaningful visualizations aligned with business goals

• Design interactive dashboards with filters and parameters

• Present data-driven insights clearly and professionally