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.
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 term “big data” is everywhere these days, and with good reason. More products than ever before are connected to the Internet: phones, music players, DVRs, TVs, watches, video cameras…you name it. Almost every new electronic device created today is connected to the Internet in some way for some purpose.
The result of all those things connected to the Internet is data. Big, big data. What’s that mean for you? Simply put, it means if you can quickly, accurately, and intelligently sift through data and find trends, you are extremely valuable in today’s tech job market. More specifically, here are five job titles that require data analytics expertise to get ahead.
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.
Ryan Snedden brings 18 years of data and analytics experience as an instructor for our part-time Data Analytics course and his current role as Sr. Manager at Walgreens. Prior to Walgreens, he worked at Crate & Barrel for 7 years as the Marketing Modeling Manager. His career has been dedicated to organizing, building, analyzing and providing actionable insights on some of the largest datasets available in the retail industry. He received his MS in Computer Science from DePaul University with an emphasis in Database Systems and Data Analytics and a BBA from The University of Iowa with an emphasis in Marketing.
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.