By the end of this course, learners will be able to analyze real-world fatal accidental drug overdose data, apply structured data preparation and exploratory analysis techniques, engineer meaningful analytical features, and interpret trends to generate validated, data-driven insights using Tableau. Learners will also develop the ability to communicate findings clearly through a cohesive, end-to-end analytical project.
Analyze Fatal Drug Overdose Data Using Tableau
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Prepare and explore real-world overdose datasets to identify trends and data quality issues.
Engineer meaningful features and perform exploratory analysis to generate validated insights.
Communicate findings through clear, ethical, end-to-end Tableau visual analytics projects.
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
February 2026
Assessments
7 assignments
Taught in English
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There are 2 modules in this course
This module introduces learners to the real-world problem of fatal accidental drug overdoses and establishes a strong analytical foundation by covering data context, data preparation, exploratory analysis, and feature design using Tableau.
What's included
6 videos4 assignments
This module focuses on applying structured analytical approaches to generate, validate, and interpret insights, culminating in the development of an end-to-end Tableau project that communicates trends and findings effectively.
What's included
5 videos3 assignments
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