Mapping the communities of tomorrow requires a hard look at the topographies of today. Mike Carnathan, project director at Neighborhood Nexus, synthesizes big data into visual stories that chart the social, political, and economic conditions across the city of Atlanta. Part data miner, part cultural cartographer, Carnathan creates demographic maps that local leaders, advocates, and everyday citizens use to help understand and change their lives.
Since founding General Assembly in 2011, I’ve heard some incredible stories from our students and graduates. One of my favorites is about Jerome Hardaway. Jerome came to GA after five years in the United States Air Force. He dreamed of tackling persistent diversity gaps in the technology sector by breaking down barriers for other veterans and people of color.
In 2014, with the help of General Assembly’s Opportunity Fund scholarship, Jerome began one of our full-time Web Development Immersive courses. After graduation, he had the opportunity to pitch President Obama at the first-ever White House Demo Day and has launched a nonprofit in Nashville, Vets Who Code, which helps veterans navigate the transition to civilian life through technology skills training.
Exceptional stories like Jerome’s embody GA’s mission of “empowering people to pursue the work they love.” It’s a mission that motivates our instructional designers, faculty, mentors, and career coaches. It also inspired the development of an open source reporting framework which defined GA’s approach to measuring student outcomes and now, our first report with verified student outcomes metrics.
“Data scientist” is one of today’s hottest jobs.
In fact, Glassdoor calls it the best job of 2017, with a median base salary of $110,000. This fact shouldn’t be big news. In 2011, McKinsey predicted there would be a shortage of 1.5 million managers and analysts “with the know-how to use the analysis of big data to make effective decisions.” Today, there are more than 38,000 data scientist positions listed on Glassdoor.com.
It makes perfect sense that this job is both new and popular, since every move you make online is actively creating data somewhere for something. Someone has to make sense of that data and discover trends in the data to see if the data is useful. That is the job of the data scientist. But how does the data scientist go about the job? Here are the three skills and three tools that every data scientist should master.
Data science is “one of the hottest and best-paid professions in the U.S.” More than ever, companies need analytical minds who can compile data, analyze it, and drive everything from marketing forecasts to product launches with compelling predictions. Their work drives the core strategies of modern business — so much so that, by 2018, data-related job openings will total 1.5 million. That’s why we’ve worked hard to develop classes, workshops, and courses to confront the data science skills gap. The latest addition to our proud family of data education is the new Data Science Immersive program.
Launching for the first time in San Francisco and Washington, D.C. on April 11, this full-time Immersive program will equip you with the tools and techniques you need to become a data pro in just 12 weeks.
The Data Journalists handbook defines data literacy as, “the ability to consume for knowledge, produce coherently and think critically about data.” It goes on to say that “data literacy includes statistical literacy but also understanding how to work with large data sets, how they were produced, how to connect various data sets and how to interpret them.”
At General Assembly, we’d like to imagine a world where you don’t need a Ph.D. in Statistics to have a data-informed conversation about your business, your health, or your life in general. Over the past year, we’ve embarked on the journey to build a more data literate world through education offerings that meet the diverse needs of our students.
In building these courses, we’ve sought advice from data scientists, analysts, and hiring managers to determine the critical skills you need to become data literate in today’s workforce. We discovered that it isn’t just a concrete list of skills, but a mindset geared towards data—a way of approaching problems beyond “gut instincts.”
Here, we’ve proposed a few simple questions that will help you start to view the world through the lens of data.
If you thought the introduction of the commercial Internet changed mass media, take a look at what’s in front of you today. Behind the sites of your favorite newspapers and blogs (yes, even this one), publishers are using data to create better audience experiences. For anyone who has ever considered working with data as part of their career, there are now more opportunities than ever to bring media and data together. Here are some of the most important technologies to have on your radar.
Big data is just what it sounds like; data so big that it’s not easily processed through conventional methods. However, once this large data set is eventually distilled down, user experience can play a huge role in making sense of the reports and leading the charge for user-centered solutions.
User experience (UX) is the bridge between big data analytics and the end user. The richness of big data being collected by all types of companies has unleashed a treasure trove of information for user experience designers. UX designers can create more robust solutions for users by analyzing these enormous data sets.
Can data improve the future of our humanity? You better believe it. “Big data” is more than just big businesses. Every day, social impact groups are finding new and creative ways to act upon the information that they’re generating. They’re using data to surface new information, uncover underserved communities, and track performance over time. Here are 5 very different organizations that are using data, in new and creative ways, to improve the lives of people around them:
For many people, data feels like an avalanche of information. No matter how proficient we are with Excel, statistical software, SQL, or Google Analytics, it’s often tough to know where and how to take your first steps. Should you create a chart? Should you try to find a correlation between the trend you’re observing and revenue? How do you know whether your findings are statistically significant—and for that matter, what the heck is statistical significance?
At the end of the day, these questions are less intimidating than they seem. Data is a tool that human beings created for other human beings. As a result, it’s up to you to create your own constraints for analysis. You choose your terms. You choose the questions you want to answer. You choose the techniques that you want to deploy. You’re in control.
Here are three tips to help you wrangle your next report.
Data visualization is a form of visual communication where data is presented in a pictorial or graphical format. By presenting complex data sets in a visual way, people can comprehend and analyze the information set faster and more clearly.