“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
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 skills and expertise to get ahead.
“In today’s fast-paced, technology-driven world, data has never been more accessible. That makes it the perfect time — and incredibly important — to be a great data analyst.”
– Michael Larner, Data Analytics Instructor, General Assembly Los Angeles
“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
“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.
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.