Introduction of Tableau, brief look at the pipeline and suite of tableau applications
Data Design: Looking at linking and exporting data, and demonstrating how the data relates in the visualization engine. Analysis of grouping and a look at basic visualizations such as tables, bar and line graphs.
Module 2: Deeper Visualizations
Advanced visualizations such as circle plots, side by side graphs, heat maps, scatter plots, continuous line graphs, area charts and Tree Maps
Module 3: Data Transformation Deep Dive
Data sorting and filtration
Using aggregation and logical operations for data grouping and binning
Performing functions on data types such as strings and date time.
Module 4: Complex Visualizations
A look into data with multiple dimensions, such as dual axis plots, dual and combination charts
Deeper analytical charts such as Gantt charts, Pareto Analysis, motion charts, market basket analysis, and motion charts
Module 5: Data through Time
Time visualizations such as YTD, quick tables, custom tables, parallel periods, moving averages, running totals, window averages, predictive modeling and trend lines
Module 6: Data I/O
Learning how to navigate through Tableau Server, acquiring data from databases vs. sheets.
Sharing data through external means such as webpages or SharePoint
Module 7: Bringing it all Together
Dashboards that can reflect changes up to real-time
Mastering the data workflow pipeline and making sure teams receive
Module 8: Additional Topics
A look at location data and mapping, geocoding, integration with Google Maps