Master Tableau in Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by doing!
InstructorKirill EremenkoThe curriculum provides specific instruction on Level of Detail (LOD) calculations, including INCLUDE, EXCLUDE, and FIXED types.
Instruction is organized into thematic sections led by specific project briefs, such as Coal Terminal Utilization and World Health Trends.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This Tableau dashboard titled The Startup Quadrant features an interactive scatterplot filtered by revenue and expense parameters alongside a ranked list of top growth startups.
This screenshot demonstrates how to configure table calculations in Tableau by applying a moving average formula using the WINDOW_AVG function on a time-series line chart.
This Tableau dashboard displays a scatterplot of World Demographics for 2006, plotting fertility rate against life expectancy with bubble sizes representing population.
This dashboard mock-up illustrates a coal terminal maintenance analysis featuring an aerial site map and a corresponding line chart tracking machine idle capacity.
The course covers advanced mapping techniques including background maps and Mapbox integration.
One signal suggests that certain segments may move too quickly through the material.
A learner signal indicates a desire for more unguided challenges to test knowledge independently.
The curriculum aligns with the target of intermediate users looking to advance their skills.
