Advancing Power BI with Automate and AI builder Course Overview

Minimum Required Prerequisites:

To successfully undertake the "Advancing Power BI with Automate and AI Builder" course, it is recommended that students meet the following prerequisites:

• Basic knowledge of Power BI, including familiarity with its interface and basic functionalities.
• Understanding of fundamental data concepts such as tables, columns, and basic data types.
• Basic proficiency in Excel or another spreadsheet software, including knowledge of basic formulas and data manipulation.
• Familiarity with basic programming or scripting concepts will be advantageous but is not mandatory.
• A foundational understanding of database concepts and SQL can be beneficial but is not required.
• Enthusiasm to learn and willingness to engage in practical sessions and hands-on exercises.

Meeting these prerequisites will ensure you can maximize your learning experience and fully engage with the advanced concepts covered in the course.

Target Audience for Advancing Power BI with Automate and AI builder

Advancing Power BI with Automate and AI Builder is a comprehensive 7-day course that equips professionals with advanced skills in Power BI, Power Automate, and AI Builder to enhance business intelligence and automation.

Job Roles and Audience:

• Data Analysts
• Business Intelligence Analysts
• Data Scientists
• BI Developers
• Data Engineers
• IT Managers
• Analytics Managers
• Reporting Analysts
• MIS Managers
• Data and Analytics Consultants
• IT Professionals looking to upskill
• Power BI Users looking for advanced capabilities
• Automation Specialists
• AI and Machine Learning Professionals

Learning Objectives - What you will Learn in this Advancing Power BI with Automate and AI builder?

1. Introduction: The Advancing Power BI with Power Automate and AI Builder course provides in-depth knowledge and hands-on practice on advanced Power BI features, Power Automate workflows, and AI Builder tools, equipping students with comprehensive data integration and automation skills.

2. Learning Objectives and Outcomes:

• Advanced Data Connection and Preparation in Power BI:

  • Learn how to get data from multiple sources like Excel, Access, CSV files, Web, and Azure SQL Database.
  • Resolve common data import errors and explore advanced data structuring techniques.

• Advanced Data Modelling and DAX Calculations:

  • Master advanced DAX formulas to perform complex calculations and create calculated columns, measures, and tables.
  • Understand evaluation and filter contexts, and perform time-based calculations.

• Data Visualization Techniques:

  • Create and enhance reports with various visualizations including charts, maps, and tables.
  • Implement advanced data visualization concepts like clustering techniques, outliers identification, and time series analysis.

• Paginated Reports and Real-Time Dashboards:

  • Learn how to create paginated reports using Report Builder and real-time dashboards with custom themes and alerts.
  • Utilize Q&A and Quick Insights in dashboards.

• **Workspace