What is the Data & Technology career cluster?
Careers in Data & Technology involve information analysis, critical thinking, and programming to illuminate issues and trends, solve complex real-world problems, and drive innovation. This cluster includes roles and responsibilities relating to computer systems, hardware, software, statistics, mathematics, programming, video game development, and data analytics.
Data & Technology professionals are in huge demand, and serve increasingly vital functions within a vast variety of industries—not just internet and technology, but also healthcare, finance, natural resources, retail, marketing, government, entertainment, and beyond. They often get to (and like to) work independently, think about and analyze ideas, solve abstract problems, and may have strong math, science, and analytical abilities.
Data science is an exciting career path because you can apply your skills to various industries and business contexts. If you’re interested in using data to help businesses find answers for a living, your best bet is to get started …
The best jobs for computer science majors include well-paying careers with high projected employment growth rates over the coming years. According to the U.S. Bureau of Labor Statistics (BLS), computer science jobs have a median annual salary of $97,430. Considering …
Developing and building software involves many people, each with their own special set of skills. In terms of a full-stack developer vs. software engineer, full-stack developers are just a type, or subset, of software engineers. In general, a full-stack developer …
Natalie Van Kleef Conley
Product Lead, IT Support Professional Certificate
Almost two years ago, Grow with Google introduced the IT Support Professional Certificate, a program that helps people prepare for entry-level roles in IT, with no experience or degree necessary. …
Every IT job has an air of mystery to its roles and responsibilities. If you’re beginning a career in data science, you may be wondering what a day in the life of a data scientist looks like. There are several …
