R Programming: What It Means to a Data Scientist

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Programmers commonly have many questions about R, a popular programming language in data science and analysis. R is used all over the world by professionals in the fields of data science, data visualization, data mining, and statistical analysis. But what exactly is R? Where did it come from? And why is it being used specifically by data science professionals? This article attempts to answer all these questions, including the most important of them all: Should you be learning R as

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DBAs: Why Use Scrum?

Are you the type of database administrator who organizes files by folder? Do you have a folder full of sorted folders? If so, then scrum is the right methodology for you. A database administrator (DBA) is an essential member of any IT team. DBAs create, maintain, and secure an organization’s database, in addition to overseeing user rights assignment, backups, querying, and database tuning. You need specialized training and technical expertise to manage the specific RDBMS setup used by your organization

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Agile Data Science: Improving Your Workflow with Scrum

Within organizations, Scrum promotes efficient time and process management along with better team building and leadership. In order to implement Scrum, you’ll need to follow a few simple rules. Introducing Scrum Today, we have the power to collect precise data both quickly and in vast quantities. In fact, 90% of the data available today was collected in the last two years alone. The rise of big data has greatly increased demand for data scientists, but the profession is one where few

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Understanding Data: Mining Vs. Visualization

Here’s a reality check: Big Data has hit us like a speeding truck on the highway of business intelligence. In today’s digital age, we’re generating data about ourselves that were once considered private, and we’re doing it willingly! From what we eat and wear to where we are at all times, nearly everything is now public knowledge. The data generated is a potential diamond mine for everyone in business, from one-person companies to Fortune 500 A-Listers alike, all thanks to

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Data Visualization for Your Business: Does it Really Matter?

Our world is bursting with data—the new digital age has dynamically inflated the volumes of data collected by businesses worldwide. By 2020, about 1.7 megabytes of new information will be created every second for every person on the planet. According to Forbes, The White House has already invested more than $200 million in big data projects. Can you imagine that? Seriously! Yet all the data that’s being generated by people, machines, online devices, and other sources doesn’t provide decision-makers with

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