In the world of data analytics, accuracy and fairness are the foundation of meaningful insights. Yet, even the most skilled professionals can fall prey to statistical biases—systematic errors that distort interpretations and lead to flawed conclusions. Recognizing these biases is essential for anyone pursuing a data analyst course in Indore, as they directly influence the quality and reliability of analytics-driven decisions.