data analysis Tag Archives - General Assembly Blog

How Big Data Creates the Perfect Digital Marketing Applications

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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.

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Data at Work: 3 Real-World Problems Solved by Data Science

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BreakintoDataScienceAt 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.

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The Skills and Tools Every Data Scientist Must Master

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Photo by WOC in Tech.

“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.

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Announcing General Assembly’s New Data Science Immersive

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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.

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What It Means to Be Data Literate

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The Data Journalists handbook defines data literacy as, “the ability to consume for knowledge, produce coherently and think critically about data.” It goes on to say that “data literacy includes statistical literacy but also understanding how to work with large data sets, how they were produced, how to connect various data sets and how to interpret them.”

At General Assembly, we’d like to imagine a world where you don’t need a Ph.D. in Statistics to have a data-informed conversation about your business, your health, or your life in general. Over the past year, we’ve embarked on the journey to build a more data literate world through education offerings that meet the diverse needs of our students.

In building these courses, we’ve sought advice from data scientists, analysts, and hiring managers to determine the critical skills you need to become data literate in today’s workforce. We discovered that it isn’t just a concrete list of skills, but a mindset geared towards data—a way of approaching problems beyond “gut instincts.” 

Here, we’ve proposed a few simple questions that will help you start to view the world through the lens of data.

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The Power of Social Data: A Conversation with Dane Atkinson, CEO of SumAll

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DaneAtkinsonEver since starting a dog walking business at the ripe old age of 10, Dane Atkinson has been hooked on entrepreneurship. He wrote his first piece of software at 12 and starting working in advertising at 13. By the time he was 18 years old, Dane was the C.O.O of an advertising company with about 30 employees. Now, he’s making headlines as the CEO of SumAll, a social media and e-commerce data platform, where he’s implemented a company-wide pay transparency policy. 

We recently had the opportunity to chat with Dane when he came in to film a live stream. Read on to discover his thoughts on entrepreneurship, open data, social media, and more. 

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5 High-Paying Careers That Require Data Analysis Skills

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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. 

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3 Ways that Data Affects Mass Media

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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.

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How Can UX Design Make Sense of Big Data?

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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.

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5 Companies Using Data for Social Impact

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Can data improve the future of our humanity? You better believe it. “Big data” is more than just big businesses. Every day, social impact groups are finding new and creative ways to act upon the information that they’re generating. They’re using data to surface new information, uncover underserved communities, and track performance over time. Here are 5 very different organizations that are using data, in new and creative ways, to improve the lives of people around them:

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