Power BI Intermediate Course Overview

To ensure that you can successfully undertake our Power BI Intermediate course and fully benefit from its content, the following minimum prerequisites are recommended:

• Basic understanding of data analysis concepts and familiarity with reporting.
• Experience with Microsoft Excel or a similar spreadsheet tool, including knowledge of basic formulas and data manipulation.
• Familiarity with the basic concepts of databases, such as tables, relationships, and simple queries.
• Prior exposure to data visualization concepts and the importance of data-driven decision-making.
• Basic computer literacy and proficiency with the Windows operating system.
• An enthusiasm to learn new tools and techniques for data analysis and reporting.

Please note that while these prerequisites are recommended, we have designed our courses to be accessible to learners with various backgrounds. If you are motivated and willing to engage with the course material, we believe you can be successful in this course.

Target Audience for Power BI Intermediate

The Power BI Intermediate course by Koenig Solutions is designed for professionals seeking to enhance their data visualization and analysis skills.

• Business Analysts
• Data Analysts
• Business Intelligence Professionals
• Report Developers
• Data Scientists
• IT Professionals who manage BI tools
• Project Managers overseeing data-driven projects
• Marketing Analysts looking to visualize campaign data
• Finance Professionals seeking to improve reporting efficiency
• Data Engineers who need to understand data modeling in Power BI
• Operations Managers requiring operational insights through data
• Product Managers utilizing data to inform product decisions
• SQL Developers seeking to expand their reporting capabilities
• Consultants who provide insights and data solutions to clients
• Educators and Trainers specializing in data analysis and BI tools

Learning Objectives - What you will Learn in this Power BI Intermediate?

1. This Power BI Intermediate course enhances your data analysis skills, focusing on data preparation, modeling, visualization, and collaboration using Power BI tools.

2. Learning Objectives and Outcomes:

• Understand the core features and capabilities of Power BI, including differences between Power BI Desktop and Power BI Service.
• Learn to connect to various data sources, perform data transformations, and clean datasets for analysis.
• Create and manage relationships between tables, implement calculated columns and measures, and work with hierarchies and date tables for comprehensive data modeling.
• Develop skills in building visualizations, utilizing basic and advanced charts, graphs, and customizing formats to create compelling reports.
• Gain proficiency in creating interactive reports with slicers, filters, and geospatial data mapping for enhanced user engagement.
• Master advanced DAX functions and formulas, including time intelligence functions for dynamic data analysis.
• Explore advanced data modeling techniques and work with multiple data tables to uncover deep insights.
• Publish reports, create dashboards, configure row-level security, and collaborate effectively using Power BI Workspaces.
• Use the Power BI Mobile App to access and interact with reports and dashboards on the go.
• Learn about data governance in Power BI, implement data refresh strategies, manage gateways, and monitor Power BI usage for security and compliance.