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
Get Instant Notification of New Courses on our Telegram channel.
Noteβ Make sure your ππππ¦π² cart has only this course you're going to enroll it now, Remove all other courses from the ππππ¦π² cart before Enrolling!
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.
Add-On Information:
- Unlock the full potential of your data with a comprehensive, hands-on journey through Microsoft Power BI, transforming you from a novice user into a confident analytics professional.
- Gain mastery over the entire Power BI ecosystem, understanding how each componentβPower Query, Power Pivot, Power View, and Power BI Serviceβseamlessly integrates to deliver actionable insights.
- Develop a sophisticated approach to data preparation, mastering the art of data wrangling and transformation using Power Query to ensure data accuracy and usability.
- Become proficient in data modeling, constructing efficient and robust models that form the backbone of insightful reports, leveraging the power of relationships and star schemas.
- Harness the expressive power of DAX to create dynamic calculations and key performance indicators (KPIs) that drive deeper business understanding.
- Learn to craft visually compelling and interactive reports that effectively communicate complex data narratives, ensuring your insights resonate with stakeholders.
- Master the deployment and collaboration aspects of Power BI Service, enabling secure sharing, automated refreshes, and centralized report management.
- Build and deliver a complete, real-world dashboard from inception to deployment, solidifying your understanding through practical application.
- Cultivate a keen eye for data visualization best practices, learning to design dashboards that are not only informative but also aesthetically pleasing and easy to interpret.
- Understand the strategic importance of data storytelling, translating raw numbers into compelling narratives that drive decision-making.
- PROS:
- This course provides a structured, end-to-end learning path suitable for individuals with no prior Power BI experience.
- Emphasis on a real-world project ensures practical skill development and portfolio-ready output.
- Covers a broad spectrum of Power BI functionalities, preparing users for diverse analytical tasks.
- Develops a strong foundation in data modeling and DAX, crucial for advanced analytics.
- Equips learners with skills for effective report distribution and collaboration via Power BI Service.
- CONS:
- May require significant time commitment to fully grasp and implement all concepts, especially DAX.
English
language