Introduction to Data Analytics and Visualization Tools

• Overview of data analytics concepts and the importance of data visualization.
• Introduction to Tableau and Power BI interfaces and functionalities.
• Comparative analysis of Tableau and Power BI features and use cases.

Data Connection and Preparation

Tableau:

• Connecting to various data sources (Excel, SQL, cloud services).

• Data preparation using Tableau Prep, including cleaning and shaping data.

Power BI:

• Utilizing Power Query for data extraction and transformation.

• Handling different data types and formats.​

Tableau:

• Understanding data relationships, joins, and unions.
• Creating calculated fields and parameters.

Power BI:

• Building data models with relationships and hierarchies.

• Implementing DAX for calculated columns and measures.

Creating Visualizations

Tableau:

• Designing various charts (bar, line, pie, maps).
• Utilizing Show Me feature and customizing visuals.

Power BI:

• Creating visuals using built-in charts and custom visuals.
• Implementing slicers and filters for interactivity.

Advanced Analytical Techniques

Tableau:

• Applying Level of Detail (LOD) expressions for detailed analysis.
• Using table calculations and trend lines.

Power BI:

• Implementing advanced DAX functions for time intelligence.
• Using Quick Insights and AI visuals for predictive analysis.​

Dashboard Design and Interactivity

Tableau:

• Building interactive dashboards with actions and filters.
• Best practices for dashboard layout and user experience.

Power BI:

• Designing reports with bookmarks, drill-throughs, and tooltips.
• Optimizing dashboards for performance and responsiveness.

Sharing and Collaboration

Tableau:

• Publishing dashboards to Tableau Server or Tableau Public.
• Setting up user permissions and data refresh schedules.

Power BI:

• Sharing reports via Power BI Service and embedding options.
• Collaborating using workspaces and apps

Capstone Project

• Apply skills learned to a real-world dataset.

• Choose either Tableau or Power BI to perform:

  • Data preparation and modeling.

  • Visualization and dashboard creation.

  • Insight generation and storytelling.

• Present findings and receive feedback.