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Event: Tableau for Business Intelligence
Tableau is a widely used software environment that provides business analysts with tools for sharing actionable insights with decision makers. Tableau enables analysts to acquire, filter, and transform data into a variety of high-level visualizations used for business intelligence. Tableau insights often are structured into interactive dashboards permitting further data exploration and communication. The general business-related skills covered by this course include fundamentals of data transformation, focusing data, data organization, date calculations, measures, views, geographic visualizations, aggregations, joins, subsets, geo coding, distributions, forecasting, and more. This course assumes no incoming Tableau knowledge as it moves learners from fundamental business data analytics skills into immediately applicable business intelligence acumen.
All coursework is completed in Tableau Desktop Software and requires a PC or Mac capable of installing and running this environment.
Details: https://www.tableau.com/products/techspecs?&_ga=2.66465070.1080413414.1680197181-1859611651.1678123657#desktop
Participants download the free student software for use in this course.
A badge will be awarded upon successful achievement of all program requirements, including watching 25+ asynchronous video presentations, constructing the Tableau projects described and successfully taking related quizzes (total score required is 75% or above). An instructor is available for additional help and interaction. Prerequisites include prior understanding of software and having a fundamental knowledge of spreadsheets. For course questions, please contact Roger McHaney at mchaney@ksu.edu.
A badge will be awarded upon successful achievement of all program requirements, including watching 25+ asynchronous video presentations, constructing the Tableau projects described and successfully taking related quizzes (total score required is 75% or above). An instructor is available for additional help and interaction. Prerequisites include prior understanding of software and having a fundamental knowledge of spreadsheets. For course questions, please contact Roger McHaney at mchaney@ksu.edu.