Goals
- Master the fundamentals of data science, understanding the life cycle of a project, data types, and their impact on today's society.
- Apply essential statistical techniques for data analysis, including statistical inference, correlation, and regression, with a practical approach to problem-solving.
- Learn to use R programming for data manipulation, analysis, and visualization, facilitating its application in real-world environments.
- Develop the ability to transform data into knowledge for strategic decision-making in businesses and organizations.
- Understand the impact of business intelligence and its application in business management, optimizing processes through data analysis.
- Acquire data management and exploitation skills, exploring innovative methodologies to solve business challenges with structured and unstructured data.
- Foster critical thinking and data-driven decision-making, ensuring an ethical and responsible approach to information management.