Data Visualization covers communicating insights compellingly — time series, dashboards, heatmaps, and infographics across real business domains.
What DATA 335 covers
Prerequisite: DATA 320. An overview of the fundamentals of data visualization principles in the context of business and data science. Focus is on data visualization of different data types, including time series, multidimensional data, dynamic tables, heatmaps, infographics, and dashboards.
Hands-on projects require exploring data visually at multiple levels to find insights to create a compelling story and incorporating visual design best practices to better communicate insights to the intended audience, such as business stakeholders. Projects are selected from a wide range of content areas, such as retail, marketing, healthcare, government, basic sciences, and technology.
Typical DATA 335 assignments
Expect a project requiring you to build a data visualization (dashboard, infographic) that tells a compelling, audience-appropriate story from a specific dataset.
Key topics in DATA 335
- Time series and multidimensional data visualization
- Dashboards and infographics
- Visual design best practices
- Audience-focused data storytelling
Writing tips for DATA 335
Follow the assignment instructions and rubric line by line
UMGC assignments for DATA 335 are graded against a specific rubric or grading criteria your instructor provides — every requirement has to be visibly addressed. Skipping a requirement because it seems minor is one of the most common reasons a strong submission loses points.
Show your data work, not just the final numbers
Data Analytics courses like DATA 335 usually grade the actual analytical process — data cleaning, the code or queries used, and the reasoning behind method choices — not just a polished chart or summary statistic at the end.
Ground your work in a specific scenario, dataset, or organization
Strong submissions in this discipline are grounded in a specific, named scenario — a particular organization's policy gap, or a particular dataset's patterns — rather than discussing concepts generically. Evaluators check whether your conclusions are actually supported by the specific case given.
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Why students seek help with DATA 335
Students sometimes build a technically correct chart without the audience-focused storytelling the course specifically requires — the rubric typically wants that compelling narrative shown, not a raw chart alone.
How GradeEssays helps with DATA 335
Share your dataset and audience, and your writer will help build a visualization that tells a compelling, audience-appropriate story, not just a technically correct chart.
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Place Your Order View All ServicesPrerequisites and course context
DATA 335 requires Introduction to Data Analytics (DATA 320). It is itself a required prerequisite (alongside DATA 430) for DATA 445, and one of the prerequisites for OPMG 495 in the Business and Management discipline.
Related courses
Frequently asked questions
DATA 335 requires Introduction to Data Analytics (DATA 320), and is itself a required prerequisite (alongside DATA 430) for DATA 445 (Advanced Data Science).
A wide range — time series, multidimensional data, dynamic tables, heatmaps, infographics, and dashboards — with projects drawn from domains like retail, marketing, healthcare, and government.