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16 Short courses in Computer Science & IT in Switzerland
Energy Data Analytics and Forecasting
Energy Data Analytics and Forecasting course offered at the Lucerne University of Applied Sciences and Arts considers how machine learning can be used to help solve the energy forecasting problem.
From Data To Insights
The From Data To Insights program offered by University of Lausanne will decrypt the terminology intrinsic to Data Science and Artificial Intelligence.
The data-driven enterprise
The data-driven enterprise course offered by University of Lausanne focusses on value creation through data-driven approaches and the underlying data value chains.
Mastering Generative AI
Look beyond the hype and FoMO, join the Mastering Generative AI course at Constructor Nexademy and find out what Generative AI and Prompt Engineering are all about.
Applied Statistics using R - Analysing Medical Data
R is a free, open-source software for statistical computing and graphics. In University of Basel's Applied Statistics using R - Analysing Medical Data course, you will learn the programming techniques to make the most of this powerful tool for processing, analysing and presenting your data.
TransformTECH
IMD and University of Lausanne join forces to offer you a unique learning experience Using the latest design thinking methodology, TransformTECH focuses on perspectives of business with which you can harness technology.
Cyber Security
The Cyber Security course offered by ETH Zurich - Swiss Federal Institute of Technology will be exploring the fundamentals of cyber security from a computer science and policy perspective.
Python Programming
Begin your coding journey with this comprehensive online Python Programming course at Constructor Nexademy.
Principles of Reactive Programming
During the Principles of Reactive Programming course at Swiss Federal Institute of Technology in Lausanne you will learn how to write composable software that is event-driven, scalable under load, resilient and responsive in the presence of failures. Model systems after human organizations or inter-human communication.
Functional Programming Principles in Scala
The Functional Programming Principles in Scala program at Swiss Federal Institute of Technology in Lausanne is becoming increasingly widespread in industry. This trend is driven by the adoption of Scala as the main programming language for many applications.
Managing data as an asset
The Managing data as an asset course offered by University of Lausanne introduces principles and methods of data management, covering data assets, data quality, data governance and data life cycle. This will empower organizations to create the data culture strategically needed nowadays.
Computer Science
The Computer Science provided by ETH Zurich - Swiss Federal Institute of Technology offers a broad selection of courses taught by leading experts in computer science. These courses cover foundations as well as cutting-edge developments.
Data Science and AI Intensive Program
Become a Data Scientist in 12 weeks by acquiring the required knowledge in Python, Machine Learning, Deep Learning, and NLP with the Data Science and AI Intensive Program from Constructor Nexademy. Solve an industrial data problem for the Capstone project.
Essentials in Health Research Methodology
A profound understanding of research methodology is a key requisite for conducting scientific research and for the critical assessment of research results. University of Basel offers the Essentials in Health Research Methodology programme.
Natural Language Processing
Natural Language Processing (NLP) is one of the most rapidly advancing fields in technology, using state-of-the-art methods to analyse and process both written and spoken language data. Enhance your programming skills and get a hands-on understanding of the theory and practice of NLP in this hybrid course provided by ZHAW Zurich University of Applied Sciences.
Data Innovation, Privacy and Risks
The Data Innovation, Privacy and Risks program offered by University of Lausanne addresses data thinking and data-driven innovation as well as privacy, ethical and other risks associated with an increasing use of data.