By 2025, total global data storage will likely reach 200 zettabytes (one zettabyte = one trillion gigabytes!). And 90% of the population over age six — that’s 7.5 billion people — will be generating data online by 2030.
Data analysis involves using statistics to interpret data. A data analyst uses that information to spot trends, uncover connections, and report the findings to stakeholders. While a lot of the job is working with facts and figures, there’s more to …
As with any job interview, an applicant for a cybersecurity position needs to speak knowledgeably about the specific job’s responsibilities and the field in general. Information security job interview questions might revolve around one specific task—say, designing firewalls or safeguarding …
While veteran joblessness rose to 7.3% in 2020—versus 8.3% unemployment for the total U.S. population—millions of STEM jobs went unfilled. In 2020, 18.5 million men and women were veterans, comprising 7% of the civilian population.
Cecilia Vu, a Los Angeles-based data analyst and solutions engineer at Esri, recently graduated from Springboard’s Data Analytics program, where she completed 400+ hours of hands-on course material, with 1:1 industry expert mentor oversight and two in-depth capstone projects.
Did you know LinkedIn Learning offers courses to help you build in-demand technical and transferable skills? These skills can help you build your resume and get ready for your job search, whether you’re looking for a job right out of …
“Does job searching sometimes feel like you’re flinging resumes and cover letters into a black hole? You may be wondering if your applications are being read at all.
Perhaps you’ve heard that computerized resume scanners reject applications before they even …
I’m a cybersecurity specialist. My job is to protect digital data and prevent it from being lost or stolen. Digital data is anything that exists in electronic form and can be processed automatically—passwords, documents, music, videos, and even settings for …
A data scientist spends most of their time predicting the future. But they don’t use a crystal ball. Instead, they analyze historical data to create a predictive model that helps businesses make mission-critical decisions.