The assessment and control of river water quality is an essential component of contemporary environmental monitoring and management. This study endeavors to analyze water quality (W.Q.) characteristics by employing correlation and the Water Quality Index (WQI) to evaluate the water quality of the Narmada River basin in the Jabalpur district of Madhya Pradesh, India. The Karl Pearson analytical approach was utilized to establish the correlations between water quality measurements, while the WQI was computed with the help of the Weighted Arithmetic method to assess W.Q. Analyzed physio-chemical data and water quality indices were graphically represented to identify trends, both in terms of location and time. The analyzed criteria for drinking water quality include pH, total hardness, turbidity, total dissolved solids (TDS), specific conductivity, chemical oxygen demand (COD), biological oxygen demand (BOD), and dissolved oxygen (DO). Statistical analysis was employed to compute the correlation coefficients between different parameters and the WQI, uncovering substantial linear associations and strong correlation coefficients among numerous pairs of water quality measures. The correlation matrix reveals a substantial positive link between pH and dissolved oxygen (DO), as well as between TDS and specific conductivity. Specific conductivity exhibits a strong link with both turbidity and BOD, but TDS demonstrates a significant correlation with BOD. This study provides a thorough examination and conversation on the W.Q. of the Narmada River, delivering useful insights for environmental conservation endeavors. This research enhances our comprehension of the difficulties and possibilities in effectively regulating the quality of river water in a sustainable manner, by using practical solutions and innovative tactics.