Advanced Data Visualization & Reporting

О курсе

Learn how to design, present, and optimize data visualizations through this comprehensive course in the Data Analytics Skill Path. You will develop critical competencies including selecting the appropriate visualization types, applying visual design principles, crafting compelling narratives, building data models in BI tools, creating derived metrics and KPIs, designing dashboards, implementing interactive features, optimizing performance, and managing the lifecycle of BI reports. Through hands-on practice with Python (Matplotlib, Seaborn) and Power BI, you will gain practical skills to communicate insights effectively and make data-driven recommendations. This course combines expertise from Illinois Tech, Northeastern University, Emory University, Packt, Edureka, Google, Coursera Instructor Network, and Microsoft, providing diverse perspectives on data visualization and reporting. You will progress from foundational visualization concepts, to persuasive design and storytelling, advanced plotting and modeling, and finally to dashboard creation, optimization, and deployment. The curriculum balances theoretical knowledge with practical exercises, preparing you to confidently analyze, visualize, and present complex datasets in professional settings. Perfect for data analysts, business intelligence professionals, and aspiring data visualization specialists seeking practical skills in both programmatic visualization (Python) and BI reporting tools (Power BI).

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