Learning Objectives: Data Science

• Develop proficiency in programming languages and implement algorithms and data structures effectively.
• Design, manage, and query relational and non-relational databases.
• Apply machine learning techniques and advanced data science methods to solve real-world problems.
• Analyze and interpret mathematical models using principles of calculus and linear algebra.
• Utilize discrete mathematics and graph theory in algorithm design and problem-solving.
• Apply probability and statistical methods to data analysis, including advanced techniques.
• Implement numerical methods and mathematical models to solve complex problems.
• Understand the foundational principles and practices of data science and apply them in data-driven projects.
• Utilize big data technologies for managing and analyzing large-scale data.
• Analyze time series data and develop forecasting models for decision-making.
• Interpret and communicate the results of data science clearly and effectively to stakeholders.
• Apply principles of physics in the modeling and simulation of physical systems.