Data Preparation and Visualization with Power BI
About this course
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Master the art of transforming raw data into actionable insights with Power BI. This course equips you with the skills to leverage Power Query and Power Pivot for efficient data preparation, build robust data models, and write powerful DAX formulas for advanced analytics. You'll also learn to create interactive dashboards, reports, and visualizations that effectively communicate your insights. Beginning with the fundamentals of Power Query and Power Pivot, you’ll explore essential techniques such as data transformation, unpivoting columns, merging queries, and creating dynamic models. The course also delves deep into DAX expressions, teaching you how to compute metrics, manage relationships, and perform advanced calculations like year-over-year comparisons and percentages. As you advance, you’ll use Power BI to design impactful dashboards and reports. You'll gain hands-on experience with mapping visuals, KPIs, and conditional formatting. Practical exercises throughout the course ensure you can apply your knowledge, from creating pivot tables to crafting professional-grade reports and publishing them using the Power BI service. This course is ideal for aspiring analysts, business professionals, and data enthusiasts. Basic familiarity with Excel is recommended. Whether you’re a beginner or have intermediate experience, you’ll acquire the essential skills needed to thrive in data-driven roles.
74/100
CourseAsk score
- What the provider tells you
- 38/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- data transformation techniques
- creating interactive dashboards
- building data models
- writing DAX formulas
- using Power Query and Power Pivot
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