“There’s an incredible demand for employees who can code, and it’s only going to increase in the future. Not only do jobs in the field pay well, but coding is also incredibly creative, fun, and interesting!”
Matt Huntington, Web Development Immersive Remote Instructor
“Tableau is a self-service tool that allows anybody in any business to answer questions and combine different data sources. The days where you had to wait for IT to give you the data are gone!”
Samanta Dal Pont, Data Analytics Instructor, General Assembly London
“Being able to identify and communicate business opportunities through data storytelling can put you at the center of the decision-making process, whether you are part of a small team or a large organization.”
Alissa Livingston, Data Analytics Instructor, General Assembly New York
“Staying ahead of the curve is one reason I’m passionate about teaching and applying data analytics to every project I work on. Companies that constantly use data for decision-making are pulling ahead of those that aren’t.”
Gus Lopez, Data Analytics Instructor, General Assembly Melbourne
“There’s no better time to learn data analytics than now! As the amount of data in the world grows, companies and institutions are increasingly looking for a data-savvy workforce to help them make data-driven decisions.”
Mathu A. Kumarasamy, Data Analytics Instructor, GA Atlanta
Social media is big data. Every 60 seconds, Facebook users share 2,460,000 pieces of content and Yelp receives 26,380 reviews. Don’t forget about the 2 million blog posts created each day and the 1 billion websites available for us to peruse.
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.
“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 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.