Google Cloud launches six new agents and other tools to help data scientists do more with their data – and with less ...

Data scientists will get access to what Google calls a “reimagined” AI-first Colab Enterprise Notebook experience available ...

The two companies’ data science platforms have become core components for many CIOs who are focused on leveraging ...

Data science techniques are the tools in a data scientist's toolbox — each one suited to a specific kind of problem. Whether it's sorting, predicting, or discovering hidden patterns, there's a method ...

The Master in Data Science and Analytics (MDSA), which was unveiled this week, is a graduate degree program offered through a collaboration between the Faculty of Science, the Haskayne School of ...

In today’s economy, businesses and institutions rely on data analysis to reach their goals. Data collection is made possible by technological advancements, but insightful data analysis requires human ...

Anyone who wants to learn how to apply Big Data principles in digital marketing. Anyone looking to work in Big Data / Data Science for a large- or medium-sized company. Anyone who wants to launch a ...

Data Science is an interdisciplinary undergraduate program at SFU involving coursework in four different areas: Statistics, Computing Science, Mathematics, and Business. The program was designed in ...

Most companies, however, are not capturing the full potential value from data and analytics because they do not have the required expertise. To help address these challenges, the Postgraduate ...

Key data science considerations and definitions Not all data science, analytics, and underlying platforms are the same. Some are more sophisticated and complex than others.