Learn advanced Tableau Desktop skills for data analysis, visualization & dashboard design, w/ a top Tableau instructor!
InstructorMaven Analytics • 1,500,000 LearnersInstruction covers complex logic including regular expressions, table calculations with addressing and partitioning, and Level of Detail (LOD) expressions.
The curriculum includes regression models, forecasting, clustering, and specialized geospatial mapping using spatial functions and custom territories.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This slide explains the Tableau Data Model by distinguishing between the Logical Layer for relationships and the Physical Layer for joins and unions.
This slide explains smart aggregation by contrasting physical layer joins with relationships, showing how each method affects the calculation of sales totals across different store IDs.
This Tableau dashboard visualizes key performance indicators like sales and customer count alongside a geographic map of store locations and a treemap chart breaking down revenue by product category.
This slide introduces the course project scenario involving Maven Roasters, outlining the business situation, project brief requirements, and specific Tableau Desktop objectives.
Technical skills are applied through specific assignments and high-level projects that include dedicated video solutions.
One signal from a pre-update review suggests the instructor moves and speaks very quickly, which may necessitate adjusting playback speeds to follow complex calculations; note that the current update label does not prove this has been corrected.
Signals from pre-update reviews suggest occasional issues with video clarity and a need for more explicit explanations regarding data flows; the current update label does not prove these have been addressed.
The material aligns well with the goals of advanced users and exam candidates, though it functions as a thorough introduction to advanced topics.