Data Visualization with Power BI

Foundations

Begin your Power BI journey with an introduction to the platform. Learn about the interface navigation, differences between Power BI Desktop and Power BI Service, and the core components such as datasets, reports, dashboards, and workspaces. Understand the basic workflow to start building your data analysis environment.

Data Loading & Transformation

Discover how to import data from various sources into Power BI. Utilize Power Query for data cleaning tasks like removing duplicates, handling missing values, merging datasets, and understanding different data types. Learn how to shape tables and append queries to prepare data for analysis.

Data Modeling

Design effective data models by establishing relationships between tables. Explore the star schema structure, creating calculated columns and measures. Set primary keys and understand the importance of cardinality to optimize data performance and accuracy.

Visualizations & Reporting

Create compelling visual reports using a variety of charts and slicers. Learn to implement drilldowns, format visuals for clarity, and build interactive dashboards that facilitate insightful data exploration.

DAX Basics

Start writing powerful measures using DAX functions such as SUM, AVERAGE, and CALCULATE. Explore time intelligence functions to perform date-based calculations, enabling dynamic and insightful analysis.

Sharing & Collaboration

Publish your reports and dashboards to Power BI Service for sharing with others. Learn how to create dashboards from multiple reports, set up secure sharing options, and manage permissions to collaborate effectively within your organization.

Advanced Features

Enhance your reports with row-level security to control data access, utilize advanced DAX techniques, incorporate custom visuals, and optimize report performance for large datasets.

AI and Machine Learning in Power BI

Explore AI-powered visuals such as Key Influencers and Decomposition Tree to gain deeper insights. Use the Q&A visual for natural language questions and integrate R or Python scripts to extend analytical capabilities.

Data Integration & Automation

Connect Power BI to multiple data sources including Excel, SQL databases, SharePoint, and APIs. Automate data refresh schedules and set up gateways to ensure data remains up-to-date without manual intervention.

Power BI Administration

Manage workspaces and assign user roles to maintain a secure environment. Learn about security groups, monitor usage analytics, and implement governance best practices to ensure compliant and efficient deployment.

Performance Tuning & Optimization

Apply best practices for handling large datasets by optimizing queries, creating aggregation tables, and implementing incremental refresh strategies to improve report responsiveness and efficiency.

Embedding & Advanced Deployment

Embed Power BI reports into applications like SharePoint and Teams for seamless integration. Utilize Power BI REST APIs and DevOps pipelines for advanced deployment and automation scenarios.

Continuous Learning

Stay updated and expand your skills through Microsoft Learn resources, active participation in Power BI community forums, obtaining certifications, and adopting strategies for ongoing professional development in Power BI.