52 Data Science Course Programs

Harness analytics to make more informed investment decisions.

In DS Inno - Data Science Driven Innovation in Business and Society Seasonal School aims to examine the relationship between innovation management and data science through a multi-level approach. First, this relationship will be explored at the company level through not only theoretical knowledge but especially through firsthand testimonials and site visits to large and small enterprises.

A Free Course On Data Visualization & Reporting In Microsoft Power BI - With Certificate.

Data science is changing how we understand and study politics, policy, and decision-making. This course introduces students to the fundamental tools of data science, including collecting, modeling, and visualizing data, and how to apply these tools to study political and policy questions.

In Data Science and Artificial Intelligence in Marketing. Gain cutting-edge skills to revolutionize marketing strategies with data-driven insights and AI innovations. Our comprehensive course covers the dynamic intersection of data science, AI, and marketing, equipping you to elevate customer experiences and drive success in today’s business landscape.

The TVET (Technical and Vocational Education and Training) programs are comprehensive educational courses designed to provide students with practical skills and theoretical knowledge. Offered in collaboration with prestigious institutions in Ireland, France, United Kingdom, Austria, and Germany.

The “R 4 aRchaeologists” winter school aims for a fruitful combination of archaeology and statistics through the teaching of Data analysis, Data mining, and data visualization techniques. It is conducted through R, programming language, and free software environment for statistical computing and graphics R.

This program offers a full semester (30 ECTS credits) taught in English.

The Seasonal School intends to offer a multi- and inter-disciplinary learning and training experience on the main tools, methodologies, solutions, and present/future challenges that concern the technological, socio-economic, legal, and healthcare issues arising in the so-called Digital Health domain.

Free Course On Designing And Implementing Monitoring And Evaluating (M&E) Systems.

The data science minor is designed for students not majoring in Informatics, Computer Information Science, or Computer Science & Information Technology. Students will be exposed to information technology and data sciences disciplines, learn how to communicate technical information clearly and explain ethical norms regarding data management and analysis.

Start by exploring computer science in the introductory course, Computational Thinking, learning to program while creating digital images. In the next two courses you will examine fundamental data structures and algorithms and learn how to visualize and analyze large data sets. Advanced courses allow for deeper exploration into the key areas of computer science—algorithms, computational biology, software and hardware design, robotics, graphics, computer games, and the limits of computation.

Data Science program leads to an undergraduate degree which provides graduates with the necessary mathematical and computational background to be a data scientist. It will introduce you to the applications of data science in your area of interest. Obtaining the degree will involve a combination of courses and experiential learning components in the form of a research paper, practicums and internships. Whether you are interested in precision medicine, dealing with data sets on environment or business analytics, or understanding complex systems, you will learn how to use the tools and problem-solving skills of computer science and mathematics to work with data.

The Data Science minor is an interdisciplinary program with courses in a number of departments. The minor provides an opportunity for students to learn about data analytics, computational approaches, data-driven decision making, data structures and management, and the social and ethical implications of data. Data are an omnipresent aspect of modern life and massive amounts of personal data are generated daily. How such data are used and interpreted raises significant moral and social issues and is likely to influence the well-being and functioning of individuals, communities, environments and societies.

The field of Data Science deals with the theories, methodologies and tools of applying statistical concepts and computational techniques to various data analysis problems related to science, engineering, medicine, business, etc. The objective is to inspect, clean, transform and model data in order to discover useful information, suggest conclusions and support decision-making. It is an emerging topic that plays a critical role in almost every discipline of today’s science and technology and has become an indispensable component of any business, industry, enterprise, etc.