Data Preparation and Visualization with Power BI
This course is part of Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau Specialization
Instructor: Packt - Course Instructors
What you'll learn
Skills you'll gain
There are 17 modules in this course
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.
Getting Started with Power Query
Useful Power Query Features
Creating a Data Model
Introduction to Data Analysis Expressions (DAX)
More Data Analysis Expressions (DAX) Measures
Using Pivot Tables and Slicers
Power Pivot, Power Query, and Data Analysis Expressions (DAX): Summary
Introduction to Power BI
Power BI: Getting and Transforming Data
Power BI: Data Modelling
Introduction to Data Analysis Expressions (DAX) Measures
Power BI: Adding Visualizations to Your Report
Power BI: Report Design
Power BI: Editing Interactions and Filters
Power BI Service
Power BI: Summary
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