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...