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.
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.
It’s true that Big Data is somewhat of a catchall term. So many different applications and organizations can be lumped underneath the Big Data umbrella that it can be confusing sometimes to know what exactly we’re talking about when we use the phrase.
Contrary to the belief in some quarters, it means a lot more than just “a lot of data.” At it’s simplest form, Big Data has three essential qualities: Volume, Velocity and Variety.
Big data may be the buzzword of our time. Our uber-connected world is creating more information than ever before, but data on its own is useless. The value comes from data literate professionals distilling all of that information into useful insights. As the demand for data science skills has tripled over the past five years, companies and employees alike are rushing to wrangle the data that surrounds us and use it to our advantage.
Whether you are brand new to working with data or a seasoned data scientist, learning from practitioners will bring you up-to-date on the exciting ways big data is being used to improve our everyday lives.
Here, we’ve handpicked five of our favorite podcasts relating to data science that you can listen to at your desk, on your commute, or during your next road trip.
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.
In August of this year, a very curious thing happened: The industry analyst firm Gartner, perhaps the closest thing to an official arbiter of buzzed-about technology, dropped “big data” from their closely watched “hype cycle.” Having previously crested the “peak of inflated expectations” and begun its descent into the “trough of disappointment,” “big data” simply disappeared, before it could seek out redemption in the “slope of enlightenment” and “plateau of productivity.”
It’s 1977 and a CEO stands at the head of a boardroom and makes a sweeping declaration: “Personal computers will redefine the way business is done in the future.” There is some agreement–and conformity–in the room, while others struggle to understand what a “personal computer” even is.
Fast forward to 2015, and a CEO, mid-way through an hour-long Google Hangout with his leadership team, makes a sweeping declaration: “Big Data is will change our business forever.” Again, there is some agreement, but for the majority, “big data” is just another overhyped buzzword.
The personal computer did end up redefining business; it’s also redefined almost every aspect of society. Will the same be true for Big Data? With so much noise, jargon, and opinion surrounding the impact of future trends–Mobile, Social, Virtual Reality, Artificial Intelligence, Internet of Things, and Big Data–how can you identify game-changing trends from short-lived fads?
We teamed up with Fast Company to host two of the leading minds in data, Claudia Perlich from Dstillery and Marc Maleh from R/GA, at our campus in New York City. Sarah Lawson, an assistant editor at Fast Company, moderated the discussion as they chatted about their everyday work with data, their favorite parts of the industry, and what it’s really like to work in 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.