Learn Tableau for Data Science step-by-step. Real-Life Data Analytics Exercises & Quizzes Included. Learn by doing!
InstructorKirill Eremenko
Instruction utilizes real-world data and business cases to demonstrate how to apply Tableau features effectively.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
A computer screen displays a Tableau dashboard interface featuring a map of Scotland, a bar chart, and a pie chart, with a context menu open.
A screenshot of a data analysis tool displaying a stacked area chart of long-term US unemployment rates by age group from 2005 to 2015.
A desktop screenshot of a data visualization tool displaying a color-coded map of the United States with numerical profit values for each state.
A Tableau dashboard interface displaying a map of Europe with data points and a customer scatterplot chart below it.
The curriculum includes a recurring pattern of quizzes and hands-on exercises integrated into technical modules.
The focus on Tableau 2018 may lead to discrepancies in newer versions, particularly regarding how joins and relationships are handled. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
Some learners have noted issues with video clarity and the ability to clearly see specific charts or field names. These signals originated in 2020, and while a 2023 update occurred, it is uncertain if these visual concerns were addressed.
The curriculum aligns well with the stated goals of teaching beginners and those looking to improve their basic Tableau skills.