Course Overview
This intermediate-level course provides data professionals and business intelligence professionals with the knowledge and skills to model, visualize, and analyze data using Microsoft Power BI. It covers methods and best practices for working with data in alignment with business and technical requirements.
Participants learn how to access and process data from a range of relational and non-relational data sources, prepare and model data for analysis, and design effective Power BI reports. The course also covers managing and securing Power BI, including the management and deployment of reports and dashboards for sharing and content distribution. The course is related to the Microsoft Certified: Power BI Data Analyst Associate certification.
Course Objective
- Understand the fundamentals of Microsoft data analytics using Power BI.
- Identify methods and best practices for analyzing data based on business and technical requirements.
- Prepare data for analysis using Power BI.
- Access and process data from relational and non-relational data sources.
- Apply data modeling techniques in Power BI.
- Design effective reports to visualize and analyze data.
- Implement advanced data visualization techniques covered within the report design learning path.
- Manage Power BI reports and dashboards for sharing and content distribution.
- Apply Power BI security concepts and practices.
- Understand approaches for deploying Power BI reports and dashboards.
Pre-requisites
Basic familiarity with data analysis concepts and working with data is recommended. Familiarity with Power BI, Power Query, and Data Analysis Expressions (DAX) can be beneficial but is not mandatory.
Course Curriculum
- Understand the fundamentals of data analytics.
- Explore key data analytics concepts and processes.
- Understand the role of Power BI in data analysis.
- Connect to and explore different data sources using Power BI.
- Prepare and transform data for analysis.
- Create data visualizations and reports in Power BI.
- Gain insights from data to support data-driven decision-making.
- Understand the data preparation process in Power BI.
- Connect to supported data sources.
- Import and explore data for analysis.
- Clean and transform data using Power Query.
- Identify and resolve data quality issues.
- Combine and shape data from multiple sources.
- Prepare optimized datasets for analysis and reporting.
- Understand data modeling concepts in Power BI.
- Create and manage relationships between tables.
- Design effective data models for analysis and reporting.
- Work with measures and calculated columns using DAX.
- Apply appropriate data types and formatting.
- Optimize data models for performance and usability.
- Prepare data models to support accurate reporting and insights.
- Understand effective report design principles in Power BI.
- Create engaging and interactive data visualizations.
- Apply advanced visualization techniques to communicate insights.
- Configure filters, slicers, and drill-through interactions.
- Enhance reports using conditional formatting and visual features.
- Optimize report layouts for usability and accessibility.
- Design reports that support effective data analysis and decision-making.
- Understand Power BI management and security concepts.
- Manage reports, dashboards, and other Power BI content.
- Configure workspaces and access permissions.
- Implement data security and role-based access.
- Publish and share Power BI reports and dashboards.
- Manage content distribution across users and teams.
- Monitor and maintain secure Power BI environments.
