The Minor in Data Analysis is designed to provide students with the skills and knowledge necessary to interpret and transform data into strategic information for business decision-making. Through a practical approach, this program enables participants to develop competencies in the use of tools, models, and key methodologies in the world of data analysis, combining statistics, programming, and visualization to solve real-world problems across various sectors.
The learning objectives of this Minor include developing the ability to analyze large volumes of data, use visualization tools to effectively interpret information, and apply programming tools to data analytics. Additionally, students will learn about business intelligence, data mining, and machine learning, enabling them to identify patterns, predict trends, and apply automated learning models to optimize business processes.
This program is aimed at students interested in data analytics, artificial intelligence, and evidence-based decision-making. It is ideal for those seeking to complement their education with quantitative and technological tools applicable across various industries, including finance, marketing, technology, and consulting.
Moreover, it is an excellent option for future professionals who wish to strengthen their profile with skills in programming, data modeling, and predictive analysis applied to strategic decision-making and business process optimization.
The Minor in Data Analysis offers a combination of theory and practice, allowing students to develop applied projects with real data and learn methodologies used in the business world. Through these courses, students will be prepared to face the challenges of data analysis in an increasingly digitalized environment, enhancing their employability and their ability to make an impact within organizations.
