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Coursera

Seaborn Python: Design & Customize Advanced Visualizations

EDUCBA via Coursera

Overview

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Transform raw business data into professional, interactive Excel dashboards that support better decision-making. In this hands-on course, you will learn how to structure datasets, apply advanced Excel formulas, use filtering techniques, create charts and pivot tables, automate workflows with macros, and build dynamic dashboards for real-world business reporting. Designed for aspiring data analysts, HR professionals, business professionals, and Excel users looking to strengthen their reporting skills, this course guides you through every stage of dashboard development. You will organize data, build interactive reports, analyze headcount, attrition, hiring, employee demographics, compensation, and KPIs, and perform year-on-year comparisons using structured tables and visualizations. As you progress, you will create sub tables, enhance graphs, leverage pivot tables and pivot charts, implement macro-based automation, and develop gauge and speedometer dashboards for performance tracking. You will also learn to integrate Excel with Access, optimize dashboard workflows, and prepare polished dashboards for presentation. What sets this course apart is its practical, end-to-end approach to Excel dashboard development, combining data preparation, advanced analysis, automation, and visualization within realistic business scenarios. By the end of the course, you will be able to confidently build interactive Excel dashboards that communicate insights clearly and support data-driven business decisions.

Syllabus

  • Advanced Visualization Techniques with Seaborn
    • This module deepens learners’ understanding of Seaborn by exploring advanced data visualization techniques. Learners will gain hands-on experience with conditional plotting using FacetGrid, creating custom plotting logic, handling pairwise relationships, and applying stylistic enhancements such as figure styles and color palettes. The module emphasizes clarity in complex data visualization through structured layouts and design customization, enabling learners to create informative, publication-quality plots.

Taught by

EDUCBA

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