Course Outline
Preamble
Initial Configuration of Tableau
Summary of Tableau Capabilities and System Architecture
Orientation to the Tableau User Interface
Data Source Connectivity
Data Curation, Filtering, Sorting, and Aggregation
- Structuring and organizing data assets
- Date-based data segmentation
- Data simplification and ordering
- Advanced filtering and visibility controls
- Comprehensive options for data ordering and grouping
- Sorting, grouping, binning, and set creation
- Interdependencies among sorting, grouping, and filtering functions
Data Manipulation in Tableau
- Incorporating multiple metrics within a single view
- Visualizing correlations between numerical variables
- Displaying specific data points
- Customizing data presentation
- Distinguishing between dimensions and measures
- Data typing, and the difference between discrete and continuous measures
- Integrating database sources
- Application of inner, outer, left, and right joins
- Blending heterogeneous data sources in a single worksheet
- Utilizing data extracts versus live connections
- Addressing data quality issues
- Managing metadata and connection sharing
Data Calculations and Statistical Analysis
- Row-level computations
- Aggregate calculations
- Arithmetic, string, and date-based operations
- Custom aggregations and calculated fields
- Control-flow logic
- Underlying computational processes
- Advanced statistical methods
- Temporal and chronological analysis
Advanced Analysis via Table Calculations
- Quick calculation features
- Defining scope and direction
- Addressing and partitioning strategies
- Complex table calculation implementations
Advanced Geospatial Techniques
- Constructing foundational maps
- Geographic fields and configuration options
- Geospatial data mapping
- Customizing geospatial views
- Web Map Service (WMS) integration
- Visualizing non-geographic data using background imagery
- Best practices for mapping
- Distance metric calculations
Parameters in Tableau
- Parameter creation
- Utilizing parameters in calculated fields
- Parameter control mechanisms
- Enhancing analytical depth and visualization via parameters
Creation of Basic and Advanced Visualizations
- Crosstabs
- Geographic maps, heat maps, and tree maps
- Pie and bar charts
- Temporal visualizations and Gantt charts
- Stacked bars and area charts
- KPI indicators and Pareto charts
- Dual-axis and combined charts with varied mark types
- Highlight tables
- Scatter plots
- Bar chart variations, including bullet and bar-in-bar charts
Advanced Formatting
- Labels
- Legends
- Emphasizing data via reference lines
- Annotations
Communicating Data Insights via Dashboards
- Dashboard design frameworks
- Filter actions
- Highlight actions
- URL actions
- Cascading filter logic
Trend Analysis and Forecasting
- Interpretation and customization of trend lines
- Data distributions
- Predictive modeling
Integration of Tableau and R for Advanced Analytics
- Incorporation of R-based analytics methods upon participant request
Diagnostic and Resolution Procedures
Conclusion and Summary
Requirements
- Demonstrated proficiency in business intelligence and data visualization practices.
Target Audience
- Data analysts
- Data scientists
Testimonials (3)
The Practice, I created a dashboard is super easy, once time understand the subjects.
Luis Fernando - si
Course - Tableau Fundamentals to Advanced
Hand's on exercise under the control of trainer. All attendees were thus highly encouraged to participate.
Gerard Suissa - Brown-Forman France
Course - Tableau Fundamentals to Advanced
The trainer answered all of my questions and gives us a walkthrough.