Data science is the field of applying advanced analytics techniques and scientific principles to extract valuable information from data for business decision–making, strategic planning and other uses. It’s increasingly critical to businesses: The insights that data science generates help organizations increase operational efficiency, identify new business opportunities and improve marketing and sales programs, among other benefits. Ultimately, they can lead to competitive advantages over business rivals.
Data science incorporates various disciplines for example, data engineering, data preparation, data mining, predictive analytics, machine learning and data visualization, as well as statistics, mathematics and software programming. It’s primarily done by skilled data scientists, although lower–level data analysts may also be involved. In addition, many organizations now rely partly on citizen data scientists, a group that can include business intelligence (BI) professionals, business analysts, data–savvy business users, data engineers and other workers who don’t have a formal data science background.
This comprehensive guide to data science further explains what it is, why it’s important to organizations, how it works, the business benefits it provides and the challenges it poses. You’ll also find an overview of data science applications, tools and techniques, plus information on what data scientists do and the skills they need. Throughout the guide, there are hyperlinks to related Tech Target articles that delve more deeply into the topics covered here and offer insight and expert advice on data science initiatives.
Specification: Build 20 Real World Data Science & Machine Learning Projects