Description
Power BI with Miss Excel is designed to take you from the basics to building stunning, interactive dashboards in Power BI. Youβll learn how to:
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Clean & Transform Data with Power Query for accurate, reliable insights.
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Build Strong Data Models to connect and manage complex datasets.
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Design Professional Reports & Dashboards that communicate data clearly and beautifully.
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Leverage Power BI Service to publish, share, and collaborate on reports across your organization.
By the end of the course, youβll have the skills to confidently turn raw data into powerful visual stories that drive smarter decisions.
Power BI with Miss Excel with Kat Norton
90+
Training Videos
Step by Step Interactive Training from Power BI Basics to Advanced Tools
Practice Files & Guides
Collection of Practice Files & PDF Guides
Course Curriculum
92 VIDEO LESSONS
1. Module 1: Welcome to Power BI with Miss Excel!
100: How to Use This Course π»
101: Meet & Download the Course Data π§
102: Join the Excelerator Lounge π―
103: How to Access Our Support Team πββοΈ
104: How to Access Power BI π»
105: Power BI Settings for This Course βοΈ(*IMPORTANT*)
2. Module 2: Meet Power BI
200: Meet Power BI π
201: What is Power BI? π€
202: Comparing Power BI to Excel π
203: How Power BI Works π
204: Power BI Terms Recap βοΈ
3. Module 3: Basics of Connecting & Organizing Data
300: Organizing & Connecting Data π οΈ
301: Types of Connections π«Ά
302: Map of Power Query Editor πΊοΈ
303: Changing Names & Data Types π
304: Managing Columns & Rows π
305: Quality Control Tools π§°
4. Module 4: Transforming Data in Power Query
400: Transforming Data π₯οΈ
401: Formatting Data π¨
402: Replacing Values π’
403: Splitting Columns πͺ
404: Merging Columns π€
405: Transforming Dates ποΈ
406: Rounding Data β
407: Managing Different Locales π
408: Index Columns π
5. Module 5: Transforming Data in Power Query (Intermediate)
500: Data Transformation (Intermediate) πͺ
501: Conditional Columns π€
502: Creating Custom Columns π§βπ¨
503: Grouping Data π€
504: Customized Refresh π
505: Fill Down & Fill Up πΆ
506: Merging & Appending Queries π
507: Close & Applyπ₯
6. Module 6: Building Relationships
600: Building Relationships π»
601: Meet Data Modeling πββοΈ
602: Table Types π
603: Key Types ποΈ
604: Creating & Editing Relationships π
605: Star & Snowflake Schemas ββοΈ
606: Data Categories & Field Categories π
607: Hierarchies ποΈ
608: Filter Flow πͺοΈ
609: Hiding Fields π«₯
610: Layout Hacks π§ββοΈ
611: Troubleshooting Data Sources π
7. Module 7: Intro to DAX
700: Meet DAX π₯Ό
701: What is DAX? π¬
702: DAX Calculated Columns 101 π¨βπ¬
703: DAX Measures 101 π
704: Function Categories π
705: DAX Calculated Columns for this Course *IMPORTANT* π
706: DAX Measures for this Course *Important* π
8. Module 8: Designing Data Visualizations
800: Miss Excel’s Power BI Design Lab π©βπ¨
801: Choosing Which Metrics to Visualize π
802: Pro-Tips for Report Design Aesthetics πΌοΈ
803: Designing Your Dashboard Roadmap π£οΈ
9. Module 9: Building Power BI Reports
900: Power BI Reports
901: Outlining with Shapes βΉοΈ
902: Logos & Titles π§
903: Card Visualsπ
904: Line Charts π
905: Format Painter ποΈ
906: Bar Charts π
907: Pie & Donut Charts π©
908: Tables & Matrixes π
909: Conditional Formatting Visuals π¨
910: Maps πΊοΈ
911: Slicers βοΈ
912: Pro Tip – Building Reports off a Duplicate π·ββοΈ
10. Module 10: Report Final Touches
1000: Final Touches ποΈ
1001: Editing Interactions π«
1002: Creating Buttons π³
1003: Creating Custom Tool Tips with Charts π
1004: Advanced Chart Formatting π¨
1005: Mobile Layouts π±
1006: Optimization Tools π
1007: Managing Roles π
1008: Publishing Reports π°
11. Module 11: Analyzing Reports in Power BI Service
1100: Power BI Report Analysis πββοΈ
1101: Walkthrough of Power BI Service Workspaces πΆ
1102: Overview of Power BI Service π€©
1103: Editing the Data Model in Power BI Service π
1104: Using Reports to Answer Strategic Questions π€―
1105: Editing Existing Reports in Power BI Service π«‘
1106: Leveraging Views & Filters πͺ
1107: Creating Dashboards β‘
1108: Saving Bookmarks π
12. Module 12: Al in Power BI & M365 App Integrations
1200: AI in Power BI π€
1201: AI Tools in Power BI π¨
1202: Integrations with Microsoft 365 Apps
1203: CONGRATS!!! π₯³
Refund is acceptable:
- Firstly, itemΒ is not as explained
- Secondly, Power BI with Miss Excel with Kat NortonΒ do not work the way it should.
- Thirdly, andΒ most importantly, support extension can not be used.
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