The Ultimate Tableau Mastery

Quick welcome and overview of what will be covered in Tableau Basics.

Understand the learning flow and what outcomes to expect from this Tableau course.

Access datasets, dashboards, and files used throughout the course.

Learn the key modern data terms and how Tableau fits into the data analytics world.

Discover the purpose of Business Intelligence and its role in decision making.

Quick overview of all Tableau product offerings.

Learn how Tableau Desktop and Prep support data development workflows.

Understand the primary authoring tool for analytics and dashboards.

Explore the free public version for publishing and sharing online.

Learn how Tableau Prep cleans and shapes data visually.

Overview of Tableau�s high-level architecture.

Learn the difference between live connections and extract refreshes.

Understand .twb, .twbx, .hyper, .tds, .tde files.

Explore the components that power Tableau Desktop processing.

Learn how content is published and validated on Server/Cloud.

Prepare your laptop setup before hands-on exercises.

Download all required datasets and files.

Step-by-step installation of Tableau Desktop or Public.

Create your free Tableau Public account for publishing.

Find high-quality open datasets for analysis practice.

What metadata means in Tableau and why it matters for accurate analysis.

Explore how Tableau defines, stores, and uses metadata behind the scenes.

Understand every Tableau data type and how each impacts calculations.

Learn how to assign map roles and visualize geospatial data.

Learn the core analytical distinction and how Tableau uses it.

Quick overview of why naming standards matter in analytics.

Learn standards that improve usability and readability of dashboards.

Clean up field names to deliver a polished analytical experience.

Create alternate labels for user-friendly and business-ready views.

Overview of data organization tools in Tableau.

Organize fields into drillable structures for deeper analytics.

Combine related members into custom categories.

Automatically segment data using machine learning clustering.

Create dynamic subsets of data for flexible comparisons.

Overview of filter and sort operations in Tableau dashboards.

Learn filter types including extract, data source, and context filters.

Build interactive insights with dimension and measure filters.

Style filters to improve user experience and dashboard usability.

Expert filtering techniques to speed up and enhance analysis.

What parameters are and how they enable user-driven interactivity.

Build expressions that react to parameter values.

Let users adjust benchmarks and target lines dynamically.

Combine parameters with filters for advanced control.

Switch between measures or dimensions inside a single view.

Introduction to event-driven interactions in Tableau dashboards.

Add navigation linking dashboards to websites or external systems.

Enable navigation between worksheets with a single click.

Create powerful contextual drill-down experiences using actions.

Highlight elements interactively to emphasize related data.

Overview of calculation power and use cases in Tableau.

Learn how calculations enhance analysis beyond default fields.

Understand fields, types, and syntax that form valid expressions.

Build advanced logic by combining multiple expressions.

Explore row-level, aggregate, table, LOD, and parameter-based logic.

Overview of charting capabilities and visual best practices.

Combine several metrics into unified analytics displays.

Create the most common chart for categorical comparisons.

Compare two related measures within a single bar display.

Use thin bars to highlight distribution across a dimension.

Learn dashboard design foundations and UX principles.

Build a professional dashboard from datasets to interactive output.

Overview of the real business case project and objectives.

Download all supporting files for hands-on practice.

Learn the workflow from requirements to final delivery.

Translate business needs into actionable analytical tasks.

Connect, clean, and model data in preparation for visuals.

Overview of HR analytics business case and deliverables.

Download datasets and design files required for HR dashboards.

Connect and shape HR data for analysis and reporting.

Create visualizations focused on headcount and hiring metrics.

Add performance, attrition, and demographic visuals.

Wrap-up message and encouragement for continued learning.