Course Description
Power BI: Data Visualization and Analytics
This certification is tailored to introduce you to Power BI, a leading business intelligence and data visualization tool. Starting with data integration and visualization fundamentals, you will learn to connect to and import data and then transform that data into meaningful insights. By the end of the program, you'll be proficient at creating basic interactive dashboards and visual reports that provide actionable insights and support strategic business decisions. This entry-level series sets the foundation for more advanced Power BI training, ensuring you develop a comprehensive understanding of Power BI's capabilities for effectively analyzing and presenting data.
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Program Courses and Hours
| Course Name | Course Type | Course ID | On-Demand (Hrs) | Live Class (Hrs) |
|---|---|---|---|---|
| Introduction to Power BI | Mandatory | DA571 | 6.5 | - |
| Intermediate Power BI | Mandatory | DA572 | 6.5 | - |
| Advanced Power BI: Level 1 | Mandatory | DA573 | 6.5 | - |
| Advanced Power BI: Level 2 | Mandatory | DA574 | 6.5 | - |
Training Key Features
- Interactive Reporting and Dashboards: Develop the ability to create and share dynamic reports and simple dashboards that make data comprehensible for stakeholders. This skill is essential in meetings and presentations where data-driven insights are crucial for strategic decision-making.
- Data Integration Techniques: Learn to connect to various data sources and integrate them directly into Power BI, setting the stage for continuous data analysis. This integration facilitates a unified view of business metrics, enhancing report consistency.
- Basic Data Modeling: Gain familiarity with using Data Analysis Expressions (DAX) for basic data manipulations that underpin more sophisticated data models. Understanding DAX allows you to customize data calculations tailored to specific business needs.
- Data Visualization: Master the art of turning raw data into easy-to-understand visuals highlighting key trends and insights. Effective data visualization aids stakeholders in quickly understanding complex data and supports faster, more confident decision-making.
- Collaborative Data Analysis: Engage with team members by sharing insights and building interactive reports, promoting a collaborative work environment. This practice ensures that all team members are on the same page and make decisions based on the same data.
- Query Optimization: Learn to write data queries that reduce load times and optimize report performance, which is crucial for maintaining productivity when handling large datasets. Faster data retrieval speeds up the process of analysis and reporting.
