Power BI (Part I): Building Interactive Dashboards
Identify the best practices and explore how to add automated commentaries in Power BI dashboards
Development ,Data Science,Data Analysis
Lectures -25
Resources -1
Duration -1 hours
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Course Description
Part I: Introduction to Power BI
Overview: A brief introduction to Power BI, the installation process, and a comparison with Excel charts and other BI tools.
Power BI vs. Excel:
- More visual options and interactive charts in Power BI.
- Power BI's Q&A feature allows users to ask questions and get answers instantly in chart form, which is not available in Excel.
- Power BI charts can act as slicers for data filtering.
Power BI vs. Other BI Tools:
- Ranked No. 1 in the Gartner Magic Quadrant (2020).
- Connects to over 130 data sources, with more being added regularly.
- Monthly updates, unlike others which update annually or quarterly.
Part II: Power Query & Power Pivot Review
Power Query:
- Advanced query editor.
- Add a column from an example.
- Unpivot data for analysis.
Power Pivot:
- Managing relationships between tables.
- Introduction to DAX formulas and measures.
- Working with fact and dimension tables.
New DAX Measure:
- Introduction to the FORMAT() function for generating commentaries.
Part III: Building a Dashboard in Power BI
- Learn how to build a dashboard using visuals based on data warehouse sources:
- Table
- Card
- Slicer (with cross-filtering capabilities)
- Map
- Play Axis
- Commentaries
- Q&A feature
Part IV: Best Practices & Conclusion
- Dashboard Best Practices:
- Guidelines for effective dashboard design and usability.
- Segue to Power BI Part II:
- Introduction to sharing "On-Demand" dashboards for collaboration and reporting.
Goals
- Discover Power BI as a leader in Business Intelligence platforms.
- Explore how to add automated commentaries to the Power BI dashboard.
- Discover essential visuals to make your dashboard interactive.
- Recognize powerful functions in Power BI to cross-filter dashboard visuals.
- Identify the best practices in Power BI dashboards.
Prerequisites
- Some background using Power Query and/or Power Pivot in Excel is preferred.
- Example: be able to connect to external files and load to Power Query and/or Power Pivot.

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
24 Lectures
-
Why Power BI: Compared with Excel 01:04 01:04
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Why Power BI: Compared with other BI Tools 01:12 01:12
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Instructor's background 01:29 01:29
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How this course is compared with other similar courses 01:36 01:36
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Why this course 00:49 00:49
-
What you will get? 00:55 00:55
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Introduction to Power BI 06:09 06:09
-
Quick refresher - Merge Query 03:34 03:34
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Unpivot Columns 01:48 01:48
-
Add column from example using AI 01:42 01:42
-
Advanced Query Editor 03:44 03:44
-
Quick Refresher (2) - Power Pivot 08:44 08:44
-
Power Pivot - 6 Essential DAX Formulas 02:17 02:17
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Power Pivot - 6 Essential DAX Formulas part-2 01:52 01:52
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Automated Commentary 05:24 05:24
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Dashboard-1 01:01 01:01
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Dashboard-2 03:47 03:47
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Dashboard-3 06:44 06:44
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Q&A 01:59 01:59
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Best Practices in Power BI Modeling 06:30 06:30
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Best Practices in Power BI Modeling Part-2 02:16 02:16
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Takeaways 01:07 01:07
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Next Course and Q&A 00:39 00:39
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Supporting Materials
Instructor Details

Lenny Wu
Lenny Wu was a Lecturer at Tsinghua University in Beijing, China. He also sat as an Examiner for the International English Language Testing System (or IELTS) in the 1990s. On top of these, he is an exam trainer for various high profile exams, such as GRE (or Graduate Record Examination), GMAT (or Graduate Management Admission Test), TOEFL (or Test of English as a Foreign Language), and math contests such as Euler, Gauss and Pascal. He has published books on test taking strategies.
Lenny received his MBA, Finance from The George Washington University in Washington, DC, USA, and currently is a Senior Financial Analyst with an international engineering company in Vancouver, BC, Canada.
Lenny's motto at work is "Don’t work hard, work smart". Lenny has passion in teaching how to build your own "robot" into everyday office work. He has over over 22 years working with Microsoft Excel, and he is a modeling expert in Power Query, Power Pivot, and Power BI.
Lenny is a big proponent of OCR (One-click Reporting), and SSR (Self-service Reporting).
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