About this course
Walmart started using big data even before the term became recognized. Today, industries, governments, social media platforms, finance, and organizations alike use data and analytics to predict future needs to optimize sales, minimize cost, and maximize reach. With a hands-on approach and by working with problem-solving exercises that focus on practical implementations, this course introduces you to a large set of computational tools and techniques for dealing with large-scale data.
Syllabus
Pre-requisites
One year of computer science at university level. One of the computer science courses should be in algorithms and data structures. Knowledge of at least one object-oriented programming language (e.g. Java, Python).
Faculty
Iraklis Moutidis
FacultyPh.D. In Computer Science (Natural Language Processing and Social Network Analysis, University of Exeter 2023). Freelance Data Scientist 2021 – Current, Software Developer Moduleering CAE Thessaloniki 2017, Summer Student at CERN Geneva 2016, Research Assistant at CERTH ITI Thessaloniki 2014-2015. With DIS since 2025.
Panagiota Katsikouli
FacultyPh.D. in Informatics, University of Edinburgh (2018). Currently lecturing as Faculty Member at the Open Institute of Technology (2023-present) and involved in Teaching and Research at the University of Copenhagen (2020–present). Previous experience as post-doctoral Researcher at the Technical University of Denmark (2019-2020), University College of Dublin (2019), and INRIA Lyon (2018-2019). Teaching and Research. With DIS since 2023.