In the past few years, much attention has been drawn to the dearth of women and people of color in tech-related fields. A recent article in Forbes noted, “Women hold only about 26% of data jobs in the United States. There are a few reasons for the gender gap: a lack of STEM education for women early on in life, lack of mentorship for women in data science, and human resources rules and regulations not catching up to gender balance policies, to name a few.” Federal civil rights data further demonstrate that “black and Latino high school students are being shortchanged in their access to high-level math and science courses that could prepare them for college” and for careers in fields like data science.
As an education company offering tech-oriented courses at 20 campuses across the world, General Assembly is in a unique position to analyze the current crop of students looking to change the dynamics of the workplace.
Looking at GA data for our part-time programs (which typically reach students who already have jobs and are looking to expand their skill set as they pursue a promotion or a career shift), here’s what we found: While great strides have been made in fields like web development and user experience (UX) design, data science — a relatively newer concentration — still has a ways to go in terms of gender and racial equality.
Twenty-four percent of all NFL games are decided by three-points or less. If that happens this weekend at the 51st Super Bowl, all the glory (or the blame) will fall on Matt Bryant (placekicker, Atlanta Falcons) or Stephen Gostkowski (placekicker, New England Patriots). It seems reasonable to give them the credit, but in this case reason has it wrong. Giving Bryan or Gostkowski the MVP for making a crucial kick is like giving a gambler credit for the roulette wheel landing on red.In American football the team is generally a single unit, but the kicker is a unique position. Quarterbacks are the de facto leaders of the team, but a quarterback is only as good as his offensive line, receivers, and running backs. Unlike baseball or even basketball, measuring the performance of an individual player in football is notoriously difficult. Unless that player is the kicker. In that case, it’s easy. Continue reading →
Author and tech-industry veteran John Rossman, whose new book takes a deep dive into the Internet of Things.
When it comes to enhancing customer experiences and improving business operations, the future lies in the Internet of Things (IoT).
IoT is the ability to take an analog or physical capability and create a digital version of that experience. For example, the Nest thermostat helps lower energy costs by using sensors and your phone’s location to adjust the temperature when you leave the house. Samsung’s Family Hub refrigerator allows you to order groceries from FreshDirect right from its door.
From a business standpoint, IoT technology allows for smarter, data-driven models that enable higher efficiency and better outcomes. From a consumer standpoint, it can transform the way we think about some of our most routine daily actions. IoT technology requires elements of data science and analytics, product management, and user experience — and because of this, it’s a cross-functional industry with tons of opportunity for growth.
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.
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.
Today, General Assembly is making a couple of big announcements.
First, we have closed on our company’s first acquisition — Canadian tech and design career accelerator, Bitmaker. We’ve known the folks at Bitmaker for a long time and I’ve been incredibly impressed with the way their CEO, Andrew Mawer, has built his Toronto-based organization. I’ve watched him lead his team and grow their community to become Canada’s largest career accelerator, and I’m so excited to have them be part of GA as we continue to pursue our long-term vision around education-to-employment.
Second, we are announcing the largest expansion of our campus footprint in GA’s history — we are increasing our number of campuses by over 60%. Our ongoing mission is to impact people’s careers and more broadly solve the talent needs of employers everywhere. We see big opportunities to leverage our burgeoning online communities and audiences with new campuses that are closer to the biggest pockets of potential students, just outside of traditional urban hotspots more commonly associated with the tech sector.
With all of this content floating around the Internet, digital marketing struggles to truly engage and convert an increasingly fragmented online audience. Reliance on manual processes to seek out and engage with relevant social media posts is not enough. Therefore, there is a growing demand for applications that allow digital marketers to automatically understand the content shared about their brand, pinpoint the users to target, and market to them in a personalized way.
At first glance, data science seems to be just another business buzzword — something abstract and ill-defined. While data can, in fact, be both of these things, it’s anything but a buzzword. Data science and its applications have been steadily changing the way we do business and live our day-to-day lives — and considering that 90% of all of the world’s data has been created in the past few years, there’s a lot of growth ahead of this exciting field.
While traditional statistics and data analysis have always focused on using data to explain and predict, data science takes this further and uses data to learn — constructing algorithms and programs that collect from various sources and apply hybrids of mathematical and computer science methods to derive deeper insights. Whereas traditional analysis uses structured data sets, data science dares to ask further questions, looking at unstructured “big data” derived from millions of sources as well as nontraditional mediums such as text, video, and images.
So how is this all manifesting in the market? Here, we take a look at three real-world examples of how data science is driving business innovation across a wide range of industries.
General Assembly was founded on the principle that first and foremost, education is an investment. Students invest their time, money, and passions with us, and we have a duty to help them earn a return on that investment, both in the short and long run.
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.