Data Science is a rapidly growing field that requires a diverse set of skills and knowledge to be successful. As you navigate the world of Data Science, it's important to understand the key terminology used in this field.
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LinkedIn groups provide opportunities to engage with professionals who share common interests, skills, experiences, industry affiliations and ambitions. They allow you to contact a large number of people and potential employers based all over the world, helping you stay up-to-date with the latest trends, tools and techniques of your profession.
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The convenience of podcasts – the fact you can listen to them on the go – makes them an increasingly popular choice when it comes to updating your industry knowledge and hearing direct from experts in the field. They are an excellent way to absorb lots of new information, often in bitesize chunks, while commuting, exercising, cooking or relaxing.
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Find out what a data engineer does and how the role differs from that of a data scientist.
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Find out what it's like to study data science with Southampton Data Science Academy with our student interview.
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Artificial Intelligence (AI) is a term that we are increasingly familiar with. Simply put, its intelligence shown by a machine through various modes, such as machine learning.
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More and more companies are realising the value of data science, artificial intelligence and machine learning.
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Artificial Intelligence (AI) is, simply put, how intelligent a machine is. Today, machines have the capabilities to learn, imitate, and even analyse human behaviour. The findings are then used to further improve business where the data can be applied. AI has ushered in a new era for technology and can deliver benefits that were previously unheard of.
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It is no secret that the use of artificial intelligence (AI) and machine learning (ML) is growing throughout the technological and digital sector.
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What is the role of a data scientist? A data scientist is someone who mines, analyses, processes, and combs large amount of data and cleans and presents it in manner relevant to the task. They remove irrelevant information and make it easier for companies to source the information that is necessary and applicable for a project.
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