Power BI / Tableau

Learn how to connect Tableau with different data sources and prepare data for analysis. Understand how Tableau handles data connections and how to work with structured business information.

You’ll explore:

• Connecting Tableau to Excel and CSV files
• Connecting to databases and other data sources
• Live connections and extracts
• Understanding data source configuration
• Joining and relating data tables
• Managing data connections and refreshes
• Preparing connected data for visualization

Learn how Tableau Prep helps transform raw data into clean, structured, and analysis-ready information. Understand the complete data preparation workflow from input to output.

You’ll explore:

• Introduction to Tableau Prep
• Understanding the Tableau Prep workflow
• Connecting and profiling data
• Cleaning and organizing datasets
• Filtering and transforming data
• Combining and reshaping data
• Validating data quality and identifying issues
• Creating and managing Tableau Prep flows

Develop advanced data preparation skills in Tableau by working with complex datasets and applying techniques that improve data quality, consistency, and analytical readiness.

You’ll explore:

• Advanced data cleaning techniques
• Data aggregation and transformation
• Pivoting and reshaping datasets
• Splitting and combining fields
• Handling missing and inconsistent data
• Creating calculated fields during data preparation
• Combining multiple data sources
• Optimizing prepared datasets for analysis

Become comfortable working with Tableau Desktop and learn how to create worksheets, analyze data, build visualizations, and organize content into interactive dashboards.

You’ll explore:

• Understanding the Tableau Desktop workspace
• Creating worksheets and working with data fields
• Dimensions, measures, filters, and marks
• Creating charts and basic visualizations
• Sorting, filtering, and grouping data
• Calculated fields and basic calculations
• Building dashboards from multiple worksheets
• Using Tableau features for interactive analysis

Learn how to communicate insights effectively through Tableau by combining data, visual hierarchy, and narrative structure to create meaningful analytical stories.

You’ll explore:

• Fundamentals of data storytelling
• Understanding the audience and analytical objective
• Choosing the right visualizations for a message
• Creating logical visual and narrative flow
• Using Tableau stories and story points
• Highlighting trends, patterns, and key insights
• Designing clear and engaging analytical presentations

Learn how to transform data into clear and interactive visualizations using Tableau. Explore different chart types, analytical features, and design techniques for effective data communication.

You’ll explore:

• Creating bar, line, area, and pie charts
• Scatter plots and distribution visualizations
• Maps and geographic data visualization
• Filters, parameters, and interactive controls
• Formatting and customizing visualizations
• Creating dashboards and interactive reports
• Using calculated fields for deeper analysis
• Applying visualization best practices

Learn how to publish, share, and manage Tableau workbooks and dashboards so that insights can be securely accessed by teams and stakeholders.

You’ll explore:

• Publishing workbooks and dashboards
• Introduction to Tableau Cloud and Tableau Server
• Managing published data sources
• Setting permissions and access controls
• Scheduling data refreshes
• Sharing dashboards with users and teams
• Managing published content and workbooks
• Best practices for secure and effective Tableau publishing