Subject Area

• Data Analytics and Visualization – Techniques for interpreting and visualizing complex data sets.
• Machine Learning and Artificial Intelligence – Algorithms, models, and applications in predictive analytics.
• Big Data Technologies – Scalable storage, processing, and analysis systems like Hadoop, Spark, etc.
• Data Mining and Knowledge Discovery – Pattern recognition, anomaly detection, and association rule learning.
• Data Engineering – Data integration, transformation, pipelines, and infrastructure.
• Cloud and Edge Data Systems – Distributed computing, data storage, and processing at scale.
• Applications of Data Science – Healthcare, finance, smart cities, IoT, and scientific research.
• Ethics and Privacy – Responsible data use, bias mitigation, data governance, and compliance.