Wednesday, September 16, 2026
Power Query vs DAX for Beginners: When to Use Which in Power BI?
How to Peform YoY Comparison in Power BI – For Begginers
Complete Power BI Tutorial with Custom Graphics, Animated Background, Dynamic Values and Much More – Global E-Commerce Supply Chain
North American Company

Virtual School

This Week
Power Query vs DAX for Beginners: When to Use Which in Power BI?
How to Peform YoY Comparison in Power BI – For Begginers
Complete Power BI Tutorial with Custom Graphics, Animated Background, Dynamic Values and Much More – Global E-Commerce Supply Chain
North American Company

Virtual School

This Week

Power Query vs DAX for Beginners: When to Use Which in Power BI?

How to Peform YoY Comparison in Power BI – For Begginers

Complete Power BI Tutorial with Custom Graphics, Animated Background, Dynamic Values and Much More – Global E-Commerce Supply Chain

North American Company

How to Fix Mapping Errors in Power BI (Accurate Location Data Tutorial)

Power BI: Build a Dynamic Risk Matrix Simulation in Power BI Using DAX & Parameters

Excel: How to Correct Wrong Date Formats in Seonds without using Complex Forumulas and Methods.

Power BI Desktop: Creating Dashboard with 60,000 Plus Photos and Generating Dataset from file names

Learn By Example: Python File Organizer – Learn Windows Automation using os, shutil, and pathlib

Data Analysis with R: Tutorial for Beginners – Want to Learn Data Analysis with R, Start Here

Predictive Analytics

Power BI: How to Isolate Trend & Seasonality Using Python Time Series Decomposition Technique

Shahid Latif01 mins

Unlock the full potential of your data by mastering Time-Series Decomposition directly within Power BI. While standard line charts often conflate different signals, this tutorial shows you how to use the statsmodels library to “unmask” your metrics. You will learn to isolate the Trend, identify recurring Seasonality, and quantify the Residual noise that native visuals…

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Power BI Python Visuals: Sales Forecast with Linear Regression Model

Shahid Latif02 mins

This tutorial guides you through harnessing the power of Python visuals in Power BI to perform data analysis and predictive modeling. The initial steps involve loading actual sales and advertisement data, which runs from the start of the year through September, while also including targeted ad spending for the final quarter (October, November, and December)….

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