Post by account_disabled on Dec 26, 2023 11:30:55 GMT
Aaugmented analytics as the main trend and priority for CDOs in . We recently interviewed Jrmie Bureau data scientist and head of the data science team at AT Internet about data science and analytics. Read on to learn more How do you become a data scientist There are many ways into the world of data science. Engineering schools and universities offer courses from masters to PhD level. Indeed the demand for data scientists is so high that specialised private schools are starting to spring up. Personally.
I studied applied mathematics at the University of Bordeaux then went on to a doctorate in mathematics and statistics at the University of Toulouse. I wrote my thesis under the CIFRE agreement French industrial convention on training through research and worked as an RD engineer for a startup during my three years of doctorate. My thesis was on the Phone Number List of geolocation systems in an aeronautical context. I then worked in various professional fields such as health employment and digital. How does data science specifically apply to an analytics solution in SaaS mode When working on issues that require data processing before even going into predictive models or machine learning we need to meet two requirements to extract information that is actionable and valueadded firstly collecting a sufficient volume of data and secondly ensuring it is representative of the population we want to study.
AT Internets huge advantage is its variety of customer websites making it possible to tick both boxes However each site will have its own specific properties depending on its business sector. These differences can vary enormously from one sector to another ecommerce sites media advertisers banks institutional sites etc. The data science team needs to provide tools that target all our customers to help them optimise their marketing strategy. The tools based on mathematical algorithms and models must make it possible to describe and predict the behaviour of Internet users. An example of this is.
I studied applied mathematics at the University of Bordeaux then went on to a doctorate in mathematics and statistics at the University of Toulouse. I wrote my thesis under the CIFRE agreement French industrial convention on training through research and worked as an RD engineer for a startup during my three years of doctorate. My thesis was on the Phone Number List of geolocation systems in an aeronautical context. I then worked in various professional fields such as health employment and digital. How does data science specifically apply to an analytics solution in SaaS mode When working on issues that require data processing before even going into predictive models or machine learning we need to meet two requirements to extract information that is actionable and valueadded firstly collecting a sufficient volume of data and secondly ensuring it is representative of the population we want to study.
AT Internets huge advantage is its variety of customer websites making it possible to tick both boxes However each site will have its own specific properties depending on its business sector. These differences can vary enormously from one sector to another ecommerce sites media advertisers banks institutional sites etc. The data science team needs to provide tools that target all our customers to help them optimise their marketing strategy. The tools based on mathematical algorithms and models must make it possible to describe and predict the behaviour of Internet users. An example of this is.