While you may have heard of machine learning, you may not know what it means. In this piece, we examine the definition of machine learning, as well as who uses it and what the future of machine learning might look like.
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A collection of pandas coding exercises from datascience@berkeley for those who want to practice data analysis in Python.
A collection of research, toolkits and organizations supporting Black students in STEM — from K-12 to graduate school.
What is an information system? Learn more about what they are, how they work, the different types of information systems, and types of jobs you can pursue.
Cybersecurity vs. computer science — what's the difference? Learn more about the different responsibilities, skills and job outlooks between the two.
What does a data scientist do? Find the answers to this question along with the responsibilities & skills one must have when working as a data scientist.
Data science reading recommendations to learn more about data discrimination, business intelligence and privacy.
While there are some similarities, differences between a data analyst vs. a data scientist include skills, career path, job outlook and salary. Read to learn more.
Learn how to incorporate data literacy into your curriculum to support students and pave the way for data science careers.
In the digital age, data literacy can help you use information to make decisions about the way you live, work, and play.