Data Science (Online) (Gr) (BA) - IU International

• Familiarity with the fundamental concepts and techniques of data analysis and data management.
• Learning to use data analysis techniques through appropriate software for better decision making.
• Development of analytical skills to handle a range of data analysis methodologies.
• Understanding of the tools and technical skills to establish a range of data analysis methodologies to use, such as statistical analyses.
• Development of skills to intelligently report the results of data analysis to target audiences with varying levels of mathematical/statistical understanding that provide a sufficient basis for performing more complex data analyses.

The program will provide students with the necessary knowledge to be able to define data science and its relationship to other fields, as well as to understand the activity of data science. They will also be able to recognize the origins of data and the challenges of dealing with it, understand how data science methods are integrated into business settings, and basic statistical concepts. Finally, students will be able to understand the importance of machine learning in data science.

• New students who have completed secondary education. High school students with an interest in math, computing, statistics and science, but also students who wish to study in a field with high demand in the job market.
• Professionals who want to enhance their knowledge. Professionals in fields such as IT, engineering, finance and marketing who want to upgrade their data analysis skills and people who want to move into roles such as data analysts, data scientists or business analytics consultants.
• People with a technical background. Students and graduates of programs such as computer science, engineering, physics and mathematics who want to specialize in data science. People who have programming experience and want to delve into data analysis applications.
• Businessmen and executives. Entrepreneurs who want to leverage data to improve business strategy and decision making. Business executives who want to understand how data analytics techniques can be integrated into business processes.
• People with an interest in research and innovation. Students who wish to pursue a research career in data science. Individuals interested in contributing to the innovation and development of new data analysis technologies.

• Data Analyst
• Data Scientist
• Business Analysis Consultant