Data Science and Analytics

Data preprocessing and cleaning: Skills in cleaning and preparing data for analysis, dealing with missing values, and handling outliers are essential.

Statistical analysis and data visualization: Training in statistical techniques for analysis and visualization tools for effective communication of insights.

Student background: Statistics, Computer Science, or Business Analytics.

Student profile: Analytically-minded individuals interested in extracting insights from large datasets.