Duration: 3 days – 21 hrs
Overview
The Power BI for Business Analysts Training is designed to provide business analysts with the necessary skills and knowledge to effectively utilize Power BI for data analysis, visualization, and reporting. This comprehensive course covers the fundamentals of Power BI, data modeling, data transformation, data visualization techniques, and collaboration features.
Objectives
• Understand the fundamentals of Power BI and its role in business analytics.
• Learn how to connect to various data sources and perform data transformation using Power Query.
• Explore data modeling concepts and build relationships between different data tables.
• Gain proficiency in creating interactive visualizations using Power BI Desktop.
• Discover advanced visualization techniques to effectively present data insights.
• Learn how to create and publish reports and dashboards for consumption.
• Understand Power BI’s collaboration and sharing features to enhance teamwork and data-driven decision-making.
• Obtain and integrate data from multiple data sources.
• Adjust data with Power BI Desktop.
Audience
Prerequisites
• Basic Computer Skills
• Familiarity with Excel
• Basic Data Analysis Knowledge
• Business Context: Business analysts should have a general understanding of their organization’s business processes and data requirements. This knowledge helps in identifying key performance indicators (KPIs) and translating business needs into meaningful visualizations and reports in Power BI.
Course Content
Module 1: Introduction to Power BI
• Overview of Power BI and its features
• Understanding the Power BI ecosystem (Power BI Desktop, Power BI Service, Power BI Mobile)
• Getting started with Power BI Desktop: installation and interface
Module 2: Data Sources and Data Transformation
• Connecting to data sources: databases, Excel, CSV, web services, etc.
• Importing and transforming data in Power BI Desktop
• Cleaning and shaping data using Power Query Editor
• Applying data transformations: filtering, merging, pivoting, and aggregating data
Module 3: Data Modeling
• Understanding data modeling concepts in Power BI
• Creating relationships between tables
• Defining hierarchies and calculated columns
• Creating measures using DAX (Data Analysis Expressions) language
Module 4: Data Visualization
• Creating visualizations: charts, graphs, tables, and maps
• Applying formatting and customization to visual elements
• Using slicers, filters, and drill-through for interactive analysis
• Incorporating visuals into reports and dashboards
Module 5: Advanced Analytics and Calculations
• Advanced DAX functions for complex calculations
• Time intelligence functions for date-based analysis
• Using quick measures and Power BI templates
• Creating calculated tables and hierarchies
Module 6: Sharing and Collaboration
• Publishing and sharing reports on Power BI Service
• Collaborating with colleagues on shared dashboards
• Creating workspaces and managing access rights
• Distributing reports via email and embedding in other applications
Module 7: Power BI Mobile App
• Overview of Power BI mobile app features
• Designing reports and dashboards for mobile consumption
• Accessing and interacting with reports on mobile devices
• Offline capabilities and syncing data on mobile devices
Module 8: Data Security and Administration
• Implementing security in Power BI: row-level security, app workspaces, and data gateways
• Managing data refresh schedules and data source credentials
• Monitoring and managing usage and performance
• Auditing and compliance features in Power BI
