Analyze Fatal Drug Overdose Data Using Tableau

This course is part of Apply Advanced Tableau Analytics to Real-World Data Specialization

Instructor: EDUCBA

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

5 hours to complete

Flexible schedule

Learn at your own pace

2 modules

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.

Skills you'll gain

Details to know

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Build your subject-matter expertise

This course is part of the Apply Advanced Tableau Analytics to Real-World Data Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

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.

This course provides hands-on experience with a realistic public health dataset, enabling learners to move beyond tool-centric training and focus on analytical thinking, problem framing, and responsible data interpretation. Participants will learn how to clean and explore complex datasets, design effective analytical approaches, validate insights, and translate results into actionable conclusions. What makes this course unique is its end-to-end, project-driven structure centered on a sensitive and impactful real-world use case. Rather than isolated exercises, learners complete a complete analytical workflow that mirrors industry expectations. The course emphasizes ethical awareness, analytical rigor, and storytelling with data, making it especially valuable for aspiring data analysts, BI professionals, and Tableau practitioners seeking practical, portfolio-ready experience grounded in real-world decision-making.

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

6 videos Total 44 minutes

Intro to Fatal Accidental Drugs Overdose Analysis 6 minutes
Project Implementation Data Overview and Context 8 minutes
Project Implementation Data Cleaning and Preparation 6 minutes
Project Implementation Exploratory Data Analysis Overview 6 minutes
Project Implementation Advanced Exploratory Analysis 9 minutes
Project Implementation Feature Engineering Techniques 10 minutes

4 assignments Total 60 minutes

Foundations of Overdose Data Analysis 30 minutes
Understanding the Problem and the Data 10 minutes
Data Cleaning and Exploratory Foundations 10 minutes
Advanced Exploration and Feature Design 10 minutes

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

5 videos Total 33 minutes

Project Implementation Modeling and Analysis Approach 8 minutes
Project Implementation Insights Generation and Validation 5 minutes
Project Implementation Results Interpretation and Trends 11 minutes
Project Implementation Key Findings and Conclusions 4 minutes
D-Project Development 6 minutes

3 assignments Total 50 minutes

Modeling, Insights, and Project Outcomes 30 minutes
Analytical Modeling and Insight Generation 10 minutes
Results Interpretation, Trends, and Project Development 10 minutes

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Instructor

EDUCBA

1,050 Courses 252,287 learners

Offered by

EDUCBA

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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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