About this Course
Ready to transform cluttered data into compelling visual stories that drive business decisions? This Short Course was created to help data analysts accomplish dashboard mastery through systematic design optimization and usage analytics. By completing this course, you'll be able to generate publication-ready descriptive summaries, redesign dashboards for 25% improved data-ink ratios, and implement evidence-based visual improvements. You'll master the art of connecting stakeholder questions to analytical outputs while identifying and removing low-value dashboard elements. By the end of this course, you will be able to: Generate descriptive statistics with data quality flagging Evaluate metric sufficiency against business needs Apply design principles for measurable dashboard improvement Analyze usage patterns to optimize dashboard performance This course is unique because it bridges technical EDA skills with strategic visual design, combining data science rigor with user experience principles. To be successful in this project, you should have a background in basic data analysis and familiarity with visualization tools like Tableau or Python libraries
What You'll Learn
- Identify and document data quality issues before visualization
- Align dashboard metrics with stakeholder decision needs
- Use evidence-based design to iteratively improve dashboard visuals
- Analyze usage data to optimize dashboard elements
Prerequisites
- Basic familiarity with data analysis terminology
- Willingness to participate in applied exercises and case studies
Instructors
Hurix Digital