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Over the past few years, there has been a veritable explosion of hiring in the field of data science. Just ten years ago, the phrase data scientist was almost unheard of; nowadays, data scientist positions are advertised across numerous industries, with a particular focus on high tech. What is this position and why is it relevant? In this webinar, we discussed this position from a number of angles—what the term “data science” means, what skills a data scientist brings to the table, what competitive edge data science can bring to your team, and the differences between data science and business analysis. We also discussed a number of case studies that describe how data science can be integrated into existing businesses as well as how to best make use of data scientists’ skills.
Over the past few years, there has been a veritable explosion of hiring in the field of data science. Just ten years ago, the phrase data scientist was almost unheard of; nowadays, data scientist positions are advertised across numerous industries, with a particular focus on high tech. What is this position and why is it relevant? In this webinar, we discussed this position from a number of angles—what the term “data science” means, what skills a data scientist brings to the table, what competitive edge data science can bring to your team, and the differences between data science and business analysis. We also discussed a number of case studies that describe how data science can be integrated into existing businesses as well as how to best make use of data scientists’ skills.