Proficiency in Statistical Analysis: Students will demonstrate a strong understanding of statistical concepts and methods, enabling them to analyses and interpret complex datasets effectively.

Programming Skills: Students will be proficient in Python and R programming languages, equipping them with the ability to manipulate data, build algorithms, and develop software solutions for data analysis and machine learning tasks.

Machine Learning Expertise: Students will have a comprehensive understanding of machine learning algorithms and techniques, allowing them to apply supervised and unsupervised learning methods to solve real-world problems in various domains.

AI Application Development: Students will possess the skills to develop AI applications using advanced algorithms such as neural networks, deep learning, and natural language processing, enabling them to create intelligent systems capable of automated decision-making and problem- solving.

Data Visualization Proficiency: Students will be capable of creating informative and visually appealing data visualizations using tools such as Matplotlib, Seaborn, ggplot2, and Plotly, enabling them to communicate Insights effectively to stakeholders.

Data Management Skills: Students will be proficient in data pre-processing, cleaning, and transformation techniques, ensuring data quality and integrity for analysis and modelling purposes.