A step-by-step guide to mastering Microsoft Power BI using Power Query, Power Pivot, Power View, and Power BI Service
What you will learn
Understand the Power BI ecosystem and how Power Query, Pivot, View, and Service fit together.
Use Power Query to clean, transform, and shape raw data.
Write basic and advanced DAX formulas for calculations and KPIs.
Design professional reports and visualizations using Power View.
Publish, manage, and share reports securely using Power BI Service.
Build an end-to-end real-world dashboard project.
Apply best practices in data visualization and storytelling.
Understand what Power Query is and its role in the Power BI workflow.
Connect to multiple data sources (Excel, CSV, SQL Server, Web, APIs, etc.).
Perform data cleaning tasks such as removing duplicates, filtering rows, splitting and merging columns.
Use transformations like pivoting, unpivoting, grouping, and transposing data.
Apply conditional logic to create new columns and advanced calculated fields.
Combine data from different sources using merge and append queries.
Work with parameters and custom functions for reusable data transformations.
Understand the basics of M language (Power Query formula language).
Automate repetitive data preparation tasks.
Build a strong foundation for data modeling before moving to Power Pivot and DAX.
Understand the role of Power Pivot in building robust data models in Power BI.
Create and manage relationships between multiple tables.
Design a star schema for efficient reporting and performance.
Build calculated columns and measures using DAX (Data Analysis Expressions).
Apply aggregation functions (SUM, AVERAGE, COUNT, DISTINCTCOUNT, etc.).
Use time intelligence functions (YTD, MTD, QTD, rolling averages, year-over-year growth).
Implement hierarchies (Date hierarchy, Product hierarchy, etc.) for drill-down analysis.
Understand the difference between calculated columns vs. measures and when to use each.
Optimize data models for performance (reduce size, avoid redundancy).
Prepare a solid data foundation for Power View dashboards and Power BI Service reports.
Understand the purpose of Power View as a visualization and reporting layer in Power BI.
Create a variety of interactive visuals including tables, matrices, bar/column charts, line charts, and maps.
Use slicers, filters, and drill-downs to make reports dynamic and user-friendly.
Design dashboards that highlight KPIs, trends, and insights clearly.
Format visuals with themes, colors, and layouts for professional presentation.
Combine multiple visuals into a single report page to tell a complete data story.
Add interactivity with bookmarks, tooltips, and cross-filtering.
Design reports that align with best practices in data visualization and storytelling.
Connect Power View with Power Pivot models to visualize calculated measures and KPIs.
Prepare dashboards that can be shared and published to the Power BI Service.
Understand the role of Power BI Service as the online platform for collaboration and sharing.
Publish reports and dashboards from Power BI Desktop to the cloud.
Create and manage dashboards using pinned visuals from multiple reports.
Share reports securely with colleagues, teams, or clients.
Set up workspaces for collaboration and version control.
Schedule data refreshes to keep reports up to date automatically.
Manage permissions, roles, and security for different users.
Use Power BI Mobile to access dashboards on the go.
Create and subscribe to alerts and notifications on KPIs.
Understand licensing basics (Free vs Pro vs Premium) and deployment best practices.
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- Unlock the full potential of your data with a comprehensive journey through Microsoft Power BI’s core components.
- Gain the confidence to transform raw, messy data into actionable business intelligence, regardless of your starting point.
- Develop a critical eye for effective data storytelling, ensuring your insights resonate and drive decision-making.
- Master the art of data preparation, making your analytical processes repeatable and robust.
- Construct sophisticated data models that support complex calculations and unlock deep analytical capabilities.
- Craft visually stunning and interactive reports that communicate key performance indicators and trends with clarity.
- Navigate the collaborative landscape of Power BI Service, ensuring secure and efficient sharing of your insights.
- Empower yourself to build end-to-end business intelligence solutions from initial data connection to final report distribution.
- Cultivate a proactive approach to data management, enabling automated refreshes and real-time analytics.
- Become proficient in leveraging parameters and custom functions for efficient and dynamic data transformations.
- Explore the foundational elements of the M language, enhancing your data shaping prowess.
- Understand the strategic advantages of designing star schemas for optimized report performance.
- Effectively implement time intelligence functions to analyze performance over specific periods.
- Discern the appropriate use of calculated columns versus measures for accurate business logic.
- Optimize your Power BI solutions for speed and efficiency, ensuring a seamless user experience.
- Learn to implement robust security measures to protect sensitive data and control access.
- Discover strategies for effectively presenting data insights to diverse audiences.
- Develop the ability to troubleshoot and resolve common Power BI challenges.
- PROS: This course provides a holistic understanding of Power BI, bridging the gap between technical data manipulation and impactful business insights. It equips learners with practical, project-based experience, preparing them for real-world data analysis challenges.
- CONS: While comprehensive, the depth covered in advanced DAX and M language might require supplemental study for those seeking highly specialized expertise in these areas.
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