A collection of lessons and advice for women in tech from four UC Berkeley School of Information faculty members.
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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).
Behind every smartphone app you use, there’s a programming language instructing the device to work seamlessly. Out of 250 programming languages, Python continues to be one of the most popular. Here we’ll examine what Python is and how Python compares to R as you consider which language is better suited for your needs.
It’s hard to go a week without seeing a new headline about the importance of data. It’s being used to prevent heart attacks, make factories more efficient, and power self-driving cars. Demand for data scientists is soaring: it’s the fastest growing job in the US, according to LinkedIn. But as data science becomes an increasingly crucial field, women are missing out: only about 26 percent of data jobs are filled by women. And more to the point, the world is missing out on them.
What can be found in the words of a president’s address? datascience@berkeley compares more than 100 years of State of the Union addresses to find out who’s saying what.
Intellectual property theft costs the United States economy billions every year. What are the cybersecurity challenges in protecting IP? And the effects when it is stolen?
