Unlocking Business Intelligence with Power BI

Introduction: 

In this Business Intelligence with Power BI training course, participants will explore the role of Power BI in the field of business intelligence. Power BI is a user-friendly software that helps to load data from various resources, cleanse, merge multiple datasets, and gain valuable insights.

Objectives:

By the end of the Business Intelligence with Power BI course, participants will be able to:

• Appreciate the functionalities incorporated in Power BI as a business intelligence software.
• Understand how to use Power BI Desktop and Online services.
• Obtain methods for gathering information from files, databases, and the web.
• Implement data cleansing and data formatting techniques.
• Build a framework for valuable data analysis.
• Visually present data and ideas using Power BI for effective communication.

Training Methodology:

• Lectures
• Case Studies
• Workshops
• Presentations
• Group Work
• Role Play

Course Outline:

Unit 1: Introducing Power BI

• What is Power BI and its role in business intelligence?
• Assess existing Power BI features and their scope.
• Build datasets from various locations in Power BI Desktop.
• Gain practical experience in report viewing and utilization of Power BI.

Unit 2: Getting Data

• Seek information from various databases and online services.
• Understand integration with Excel.
• Explore other data sources provided by Power BI.
• Use Software as a Service (SaaS) and Azure.
• Learn manual data entry techniques.

Unit 3: Data Transformation

• Rename queries and manage metadata.
• Filter rows and columns.
• Merge data from multiple queries.
• Insert columns and perform data cleansing.

Unit 4: Modeling Data for Analysis

• Analyze data modeling techniques.
• Create and manage relationships.
• Understand and create new columns.
• Concatenate columns and look up related tables.
• Translate values and include a date table.

Unit 5: Improve the Data Model

• Edit data models for better usability.
• Implement hierarchies and attributes for deeper analysis.
• Add new parameters for improved reporting.

Unit 6: Displaying Data

• Explore data visualization options.
• Add and configure visuals.
• Apply visual slicing and rendering layouts.
• Practice using visualization properties.

Unit 7: Reloading/Updating Data

• Use Power BI Gateway for data updates.
• Reinstate and update data through practical tasks.
• Learn how to publish datasets and reports efficiently.

Conclusion: 

By completing the Business Intelligence with Power BI training course, participants will gain a comprehensive understanding of how to use Power BI effectively as a professional business intelligence tool for user-friendly data analysis and reporting.