Biased algorithms lead to biased decision-making that adversely affects women, people of color, and other marginalized groups. How does this happen?
Learn more about the career path to become a quantitative analyst, including education requirements, job levels, and varying salaries.
Learn about how to become a data analyst, including the education requirements needed, the overall career path, and the types of data analyst jobs you can get.
A collection of Python coding exercises from datascience@berkeley for those who want to practice concepts such as data types, loops, functions and more.
datascience@berkeley explores the history and influence of women in computing, and reviews the state of the gap between women and men in computing today.
A collection of lessons and advice for women in tech from four UC Berkeley School of Information faculty members.
Data scientists aren’t going anywhere. In fact, this highly technical and analytical role is projected to grow three times faster than all other jobs. This is a look at the projected job growth in the field, median wages of data scientists across the United States, and the factors that may help boost a data scientist’s salary.
Careers in cybersecurity are on the upswing. From information architects to computer programmers, organizations are employing cybersecurity experts to protect their information and intellectual property and fight online fraud and hackers. The pay can be generous for highly trained professionals in this field.
What is big data? To some it represents a cultural shift and for others it’s simply a concept. Here we deconstruct the term “big data,” and discuss how we should talk about it and what it sets us up to do for the future with AnnaLee Saxenian, dean of the UC Berkeley School of Information (I School).