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). Currently working on Natural Language and Machine Learning projects as a Freelance Data Scientist (2021–present). Previously built engineering-related applications as Software Developer at Moduleering CAE Greece (2017) and implemented simulations for the 100Gbits/sec technology hardware as a Summer Student at CERN (2016). 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.