Power BI offers powerful data transformation capabilities through Power Query Editor, and one of the most commonly used transformations is Merge Queries. Whether you're working with multiple data sources or structuring a relational model, knowing how and when to use different join types is essential....

Power BI’s Power Query Editor is a powerful tool for transforming raw data into clean, analysis-ready tables. Below are the most commonly used options you should know: 1. Choose Columns What it does: Lets you keep only the columns you need for your analysis. When...

Introduction Once you connect Excel or CSV files in Power BI using the Get Data option, the next key step is transforming and cleaning your data. This is done through Power Query Editor, a powerful tool that helps shape your data before loading it into...

Before diving into visualizations and dashboards, connecting Power BI to the right data sources is a fundamental step in the data analysis process. Power BI Desktop offers a wide range of connectors that enable users to import data from various file formats and platforms with...

Welcome to the Power BI Tutorial Series, where we explore how to transform raw data into meaningful insights using one of the most widely used business intelligence tools. 1. Why Do We Need Data Analysis We begin by understanding the importance of data analysis in...

Time series forecasting plays a critical role in understanding trends, planning resources, and making data-driven decisions. In this project, I applied two popular statistical models—ARIMA and SARIMAX—to analyze and forecast a time-dependent dataset. The aim was to evaluate how well each model performs, especially in...

Forecasting the stock market is often seen as a complex puzzle. While no model can guarantee future performance, statistical tools like Vector Auto Regression (VAR) allow us to uncover meaningful patterns in historical price data and make educated predictions. In this blog, I explore how...

Electricity production plays a crucial role in a nation's economic and industrial growth. Being able to predict future electricity demand can help in better planning and resource allocation. In this blog, we dive into forecasting electricity production for the next 12 months using a classic...

Forecasting sales is a critical aspect of business decision-making. As data continues to be at the heart of strategy planning, this blog discusses how we approached a univariate time series analysis project to predict sales for an electronics and appliance store. Problem Statement The goal...

In the realm of database management, sometimes you need to quickly and efficiently remove all data from a table without deleting the table itself. That's where the TRUNCATE command in MySQL comes into play. What is the TRUNCATE Command? The TRUNCATE command is a DDL...