Data are everywhere. And data could be the focus of your career in one of these fast-growing occupations.
My year in data
What do I actually do with my time? How productive am I? I logged everything I did in 2020 and got some pretty cool data out of this.
AI Data Hive: Denver | Meetup
🐝 AI Data Hive: Denver 🏔️Unite with Denver's brightest minds in AI and Data!Are you passionate about the future of Artificial Intelligence and the power of data? Do you work as a Data Scientist, Data Engineer, Machine Learning Engineer, Analyst, or in any profession that touches the revolutionary
Data Science in 2020: Computing, Curricula, and Challenges for the Next 10 Years
In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new ...
Data Feminism
Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to d...
Levels.fyi | Salaries & Tools to Level Up Your Career
Search 1M+ data points for different companies, job titles, career levels, and locations. Explore our tools to help you get paid more!
An AI job boom? Here’s what the tedious, temporary work in data labelling is actually like
Interviews with data workers in China and Australia reveal the precarious, exploitative conditions of this new branch of the gig economy.
An AI job boom? Here’s what the tedious, temporary work in data labelling is actually like
Interviews with data workers in China and Australia reveal the precarious, exploitative conditions of this new branch of the gig economy.
Synthetic Data Statistics 2026: Market Size, Adoption Rates & Industry Trends - Axis Intelligence
Synthetic data market hits ~$750M in 2026. We tracked CAGR, adoption rates, regional share, and industry breakdowns across 10+ primary sources. Synthetic Data Statistics 2026 Update.
Living in Data: A Citizen's Guide to a Better Information Future (Paperback)
Jer Thorp’s analysis of the word “data” in 10,325 New York Times stories written between 1984 and 2018 shows a distinct trend: among the words most closely associated with “data,” we find not only its classic companions “information” and “digital,” but also a variety of new neighbors—from “scandal” and “misinformation” to “ethics,” “friends,” and “play.”To live in data in the twenty-first century
Dynamic Data Science
<p>Use our Common Online Data Analysis Platform (CODAP) to explore dynamic data science activities and gain fluency in data moves to examine large datasets.</p>
Data on AI Companies
Our database of AI company data, with data on revenue, funding, staff, and compute for many of the key players in frontier AI.
2026 State of the Workplace
Get the latest insights from state of the workplace report spanning more than 443 million hours of work activity across 1,111 organizations and 163,638 employees over three years.
My "Investment Mindset"
The year was 2007. I was a college student attending a 24-hour hackathon where we had had to build something on top of live trucking data. We were given an API that sent GPS and other metadata for 100 trucks roaming across Europe, the data updating every five seconds.
Data Scientist: The Sexiest Job of the 21st Century
Back in the 1990s, computer engineer and Wall Street “quant” were the hot occupations in business. Today data scientists are the hires firms are competing to make. As companies wrestle with unprecedented volumes and types of information, demand for these experts has raced well ahead of supply. Indeed, Greylock Partners, the VC firm that backed Facebook and LinkedIn, is so worried about the shortage of data scientists that it has a recruiting team dedicated to channeling them to the businesses in its portfolio. Data scientists are the key to realizing the opportunities presented by big data. They bring structure to it, find compelling patterns in it, and advise executives on the implications for products, processes, and decisions. They find the story buried in the data and communicate it. And they don’t just deliver reports: They get at the questions at the heart of problems and devise creative approaches to them. One data scientist who was studying a fraud problem, for example, realized it was analogous to a type of DNA sequencing problem. Bringing those disparate worlds together, he crafted a solution that dramatically reduced fraud losses. In this article, Harvard Business School’s Davenport and Greylock’s Patil take a deep dive on what organizations need to know about data scientists: where to look for them, how to attract and develop them, and how to spot a great one.
infoculture/awesome-datajournalism
Awesome list for data journalists and future data journalists
2025 Global Data Center Outlook
The data center sector will continue to grow at a phenomenal pace in 2025.
