Files - https://github.com/venkatareddykonasani/Datasets/tree/master/Deb_sir_PowerBI_Files
In this video, we explore how to transform e-commerce sales data from an Excel file and analyze it using Power BI. The data includes crucial sales metrics such as order date, shipping date, product prices, order quantity, discount, and customer information. We'll perform key transformations, including calculating order months, quarters, and delivery time gaps.
Additionally, we dive into merging sales and return data, computing actual sales revenue, profits, and discounts, and transforming customer details such as age and location using regional mapping.
We utilize Power Query for these transformations, demonstrating step-by-step how to clean and organize the data for insightful analysis. By leveraging DAX queries, we calculate important metrics like sales revenue, profit, and discounted amounts. This guide is perfect for data analysts looking to harness the full potential of Power BI for e-commerce analysis.
Click on the link to access the PowerBI Playlist: https://www.youtube.com/playlist?list=PL2hXNYim5xvqW59QZ-6VX39AqTvKCoWvs
Click on the link to access the GenAI Playlist: https://www.youtube.com/playlist?list=PL2hXNYim5xvop-LH93T2P75Y-09GIyHG6
#PowerBI #EcommerceData #DataTransformation #ExceltoPowerBI #PowerQuery #DataModeling #SalesDataAnalysis #ProfitAnalysis #CustomerAnalysis #DataVisualization #BItools #ai #promptengineering #genai #datascience #job
In this video, we explore how to transform e-commerce sales data from an Excel file and analyze it using Power BI. The data includes crucial sales metrics such as order date, shipping date, product prices, order quantity, discount, and customer information. We'll perform key transformations, including calculating order months, quarters, and delivery time gaps.
Additionally, we dive into merging sales and return data, computing actual sales revenue, profits, and discounts, and transforming customer details such as age and location using regional mapping.
We utilize Power Query for these transformations, demonstrating step-by-step how to clean and organize the data for insightful analysis. By leveraging DAX queries, we calculate important metrics like sales revenue, profit, and discounted amounts. This guide is perfect for data analysts looking to harness the full potential of Power BI for e-commerce analysis.
Click on the link to access the PowerBI Playlist: https://www.youtube.com/playlist?list=PL2hXNYim5xvqW59QZ-6VX39AqTvKCoWvs
Click on the link to access the GenAI Playlist: https://www.youtube.com/playlist?list=PL2hXNYim5xvop-LH93T2P75Y-09GIyHG6
#PowerBI #EcommerceData #DataTransformation #ExceltoPowerBI #PowerQuery #DataModeling #SalesDataAnalysis #ProfitAnalysis #CustomerAnalysis #DataVisualization #BItools #ai #promptengineering #genai #datascience #job
- Catégories
- E commerce Formations
- Mots-clés
- data science, machine learning, deep learning
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