Data analytics turns raw information into useful findings for decision-making. MCA students can strengthen this skill by combining SQL, statistics, visualisation and clear interpretation. This makes data analytics more valuable when it is supported by hands-on practice and a clear explanation of what you built. This point is specifically relevant to the data analytics aspect of MCA study. For this specific question about data analytics, the practical takeaway is to relate the concept to your own MCA learning goal. In other words, this guidance addresses: How much time should I spend learning data analytics during an MCA?