From the course: Data Science and Analytics Career Paths and Certifications: First Steps
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Introduction to roles
From the course: Data Science and Analytics Career Paths and Certifications: First Steps
Introduction to roles
- There are a number of opportunities you can take advantage of to play an active role and contribute to data science and analytics fields. To name just a few, there are job titles such as data scientist, data engineer, business intelligence architect, machine learning specialist, data analytics specialist, and data visualization developer. Each of these roles are critical in effectively leveraging data and its potential despite numerous challenges. For example, big data requires special processing by data engineers before analytics specialist can even try to do their job. Take network security. Let's assume that you need to analyze a terabyte of data every day. The goal here is detecting suspicious behavior. There are numerous roles involved in this including domain experts such as cybersecurity professionals, database administrators, cloud and distributed computing specialists, network engineers, software…