Master Tableau in Data Science by solving Real-Life Analytics Problems. Learn Visualisation and Data Mining by doing!
InstructorKirill Eremenko
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
A desktop screenshot of a data analytics software interface displaying a treemap visualization of startup data alongside dimension and measure panels.
A data visualization interface displaying a scatter plot titled The Startup Quadrant, featuring parameter controls and a ranked list of companies by growth.
A Tableau desktop interface displaying a bubble chart of life expectancy versus fertility rate for 1960, with data source panels on the left.
A mock-up dashboard titled Coal Terminal Maintenance Analysis displays an aerial map of a port and a line chart for Reclaimer 1.
Instruction covers advanced technical workflows including various Level of Detail (LOD) types—INCLUDE, EXCLUDE, and FIXED—alongside complex table calculations.
The curriculum provides specialized training in mapping techniques, including polygons, background maps, and Mapbox integration.
The course content relies on an older version of Tableau. One signal suggests difficulties loading data, though this signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
One sampled review suggests that some segments lack sufficient verbal detail, occasionally requiring learners to rely on visual cues. A 2021 review noted this issue, but the 2024 update label does not prove a correction has been made.
The curriculum aligns well with the target of intermediate users seeking advanced skills.