enthalten
The demand for business intelligence professionals skilled in data analysis and visualization is growing rapidly. The U.S. Bureau of Labor Statistics projects a 36% increase in data-related roles by 2033.1 The Microsoft Data Visualization Skill Certificate provides essential skills to excel in this high-demand field.
Using Microsoft Power BI, you'll learn to analyze and transform data into actionable insights and compelling visualizations that drive strategic business decisions.
What sets this program apart is its hands-on approach, including activities that give you practical exposure to real-world data scenarios. This program covers everything from foundational concepts to advanced data analysis techniques. You’ll learn to:
Prepare and clean data from various sources using Power Query.
Build data models with Data Analysis Expressions (DAX) for deeper analysis.
Create visually engaging reports and interactive dashboards.
Leverage advanced visualizations and AI tools to uncover hidden insights.
No prior experience is required, making this certification accessible to anyone ready to begin or advance their career in data analysis. By completing this program, you'll be equipped for entry-level roles as a data analyst or business intelligence professional, positioning yourself as a key contributor to any data-driven team.
1 Data Scientists: Occupational Outlook Handbook: U.S Website title: Bureau of Labor StatisticsDate published: August 29, 2024.
Praktisches Lernprojekt
Throughout the Microsoft Data Visualization Skill Certificate, you will engage in hands-on projects that simulate real-world business scenarios. These final course projects are designed to build practical experience using Microsoft Power BI to analyze data, build models, and create compelling visualizations.
For instance, you’ll create interactive reports and dashboards that communicate insights clearly and effectively to stakeholders. By working with real datasets, you’ll transform and clean data from multiple sources, ensuring data quality and integrity. You'll design comprehensive data models, apply DAX measures, and leverage advanced analyses like cohort and geospatial analysis to uncover trends and opportunities. Additionally, you'll ensure that your reports include appropriate sensitivity labels and permissions, preparing you to handle data privacy concerns in a professional setting. These projects are valuable work samples to share with potential employers.
