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.
A collection of lessons and advice for women in tech from four UC Berkeley School of Information faculty members.
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.
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.