Dive into the world of data visualization by starting with Python-based libraries—Matplotlib, Seaborn, and Plotly—where you'll learn to build compelling line, bar, and scatter charts while customizing and combining them for storytelling impact. The journey begins with setting up your environment and understanding the fundamentals of data prep before visual creation. The course then transitions into business intelligence with Power BI, introducing you to Power Query for importing, transforming, and shaping data. You'll explore crucial tasks like merging tables, unpivoting columns, and building custom logic to model your data accurately. The learning continues with data modeling concepts, relationship creation, and calculated fields using DAX expressions like SUMX and CALCULATE. In the final modules, you’ll design polished dashboards using charts, filters, tables, and KPIs, then publish and edit reports within Power BI Service. Each section includes hands-on exercises to reinforce learning, ensuring you walk away with the ability to visualize data professionally from raw CSV to cloud-hosted dashboards.