With the rapid development of technologies to capture and transmit human, sensor and machine-generated data, the opportunities for data scientists are growing rapidly. Companies and public institutions are hiring data scientists to find insights, to help on decision-making or to provide novel services.
Universities and research institutes need data scientists to process and analyze large amounts of data in fields as diverse as biology, medicine, astronomy, climate or environmental sciences. However, data science is an interdisciplinary discipline that encompasses theories and methods within broad areas such as computer science, information science, mathematics and statistics, which, until recently, were mostly treated as independent knowledge domains.
This course is for beginners in data science who are interested in understanding the main concepts, methods and tools behind big data analytics and its applications. The aim is to cover the entire data science pipeline and to provide an integrated view on databases, data mining, machine learning and data visualization. The program includes lectures and practice problems using real-world data and case studies.
This event is supported by DSPT.