Power BI Project: Inventory Dashboard Tutorial for Beginners

Опубликовано: 12 Август 2026
на канале: Chiamaka Igwe
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#powerbi #finance #inventory #inventorymanagement #retail #ecommerce #stock
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► Power BI Template: https://mainstack.com/p/inventory-das...

Power BI Design Course → https://www.udemy.com/course/microsof...

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📚 Guided learning paths for Data Analysts:

• Excel → https://datacamp.pxf.io/c/6665278/378...
• Power BI → https://datacamp.pxf.io/c/6665278/312...
• SQL → https://datacamp.pxf.io/c/6665278/312...
• Python → https://datacamp.pxf.io/c/6665278/312...
• Power BI Design → https://www.udemy.com/course/microsof...

📌 More courses:
👉 https://datacamp.pxf.io/c/6665278/373...

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📂 Resources used in this Tutorial

🔥You can download this Power BI file Here!
https://mainstack.com/p/inventory-das...

📁 Dataset - https://datachy-2.kit.com/inventory

Power BI Design Course → https://www.udemy.com/course/microsof...

Icon website- www. icons8.com

📊 Watch More Power BI Project Tutorials:    • Power BI Projects Playlist | End-to-End Po...  

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Power BI Project: Inventory Dashboard | Power BI Tutorial for Beginners
Learn how to build a Power BI Inventory Management Dashboard step by step! In this beginner-friendly Power BI tutorial, we’ll track revenue, stock levels, inventory value, days on hand (DOH), and turnover rates for retail and distribution businesses.

You’ll discover how to:

Import & clean data in Power Query

Build KPI cards for sales and inventory performance

Create interactive charts for monthly trends, categories & regions

Add bookmarks, buttons, and SVG images for interactivity

Design stunning backgrounds in PowerPoint for a professional dashboard

Perfect for Power BI beginners, data analysts, and anyone who wants to create powerful retail analytics dashboards that drive smarter decisions.

Watch now and master Power BI dashboards with real-world inventory management insights!

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CHAPTERS
0:00 Intro
1:38 Create Background on Power Point
5:42 Import Dataset, Data Cleaning and Data Transformation
8:30 Create Date Table
12:20 Create Measures
18:40 Data Visualization