Power BI (Part I): Building Interactive Dashboards
Building Interactive Dashboards
Lectures -25
Resources -1
Duration -1 hours
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Course Description
The course is presented in four parts.
First, brief introduction to Power BI, how to install it, and compare Power BI dashboard with Excel charts, and other BI tools:
With Excel:
- More visuals and charts in Power BI;
Power BI allows users to type their questions and get instant answers, in the form of charts, which is not possible in Excel. - Charts are slicers in Power BI
With other BI tools:
- No. 1 leader on the Gartner Magic Quadrant (2020)
- Connects to over 130 data sources, and counting
- Monthly updates on Power BI, not annually nor quarterly like others
Second part is to review what we learned in Power Query and Power Pivot, and how they function inside the Power BI environment.
Power Query: Advanced query editor, add a column from example, unpivot
Power Pivot: relationship, DAX formulas, Measures, fact/dimension tables
New DAX measure for commentaries in Part III below
- FORMAT()
Third, we demonstrate how to build a dashboard based on data warehouse by using the following visuals:
- Table
- Card
- Slicer & cross filter
- Map
- Play Axis
- Commentaries
- Q&A
Last, we conclude our webinar with:
Best practices in building a dashboard, and
- Segue to next part of Power BI (Part II): Sharing “On-Demand” Dashboards
Goals
What will you learn in this course:
- Discover Power BI as leader in Business Intelligence platforms
- Explore how to add automated commentaries to Power BI dashboard
- Discover essential visuals to make your dashboard interactive
- Recognize powerful function in Power BI to cross filter dashboard visuals
- Identify the best practices in Power BI dashboards
Prerequisites
What are the prerequisites for this course?
- 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
- Why Power BI: Compared with other BI Tools 01:12 01:12
- Instructor's background 01:29 01:29
- How this course is compared with other similar courses 01:36 01:36
- Why this course 00:49 00:49
- What you will get? 00:55 00:55
- Introduction to Power BI 06:09 06:09
- Quick refresher - Merge Query 03:34 03:34
- 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
- Power Pivot - 6 Essential DAX Formulas part-2 01:52 01:52
- Automated Commentary 05:24 05:24
- Dashboard-1 01:01 01:01
- Dashboard-2 03:47 03:47
- Dashboard-3 06:44 06:44
- Q&A 01:59 01:59
- Best Practices in Power BI Modeling 06:30 06:30
- Best Practices in Power BI Modeling Part-2 02:16 02:16
- Takeaways 01:07 01:07
- Next Course and Q&A 00:39 00:39
- 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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