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Statistics and analytics are two branches of data science that share many of their early heroes, so the occasional beer is still dedicated to lively debate about where to draw the boundary between them. Practically, however, modern training programs bearing those names emphasize completely different pursuits. While analysts specialize in exploring what’s in your data, statisticians focus more on inferring what’s beyond it. Human search engines When you have all the facts relevant to your endeavor, common sense is the only qualification you need for asking…

The world as we know it will continue to be increasingly driven by data. From a corporate perspective, data analytics is the tool that helps business owners in this day and age both understand how their business is faring and pinpoint areas that need attention. In its function to deliver critical insights as to whether a business is moving in the right direction, data analytics is fundamentally the key to effective decision making. Skilled data…

Big data analytics is the often complex process of examining big data to uncover information — such as hidden patterns, correlations, market trends and customer preferences — that can help organizations make informed business decisions. On a broad scale, data analytics technologies and techniques provide a means to analyze data sets and take away new information—which can help organizations make informed business decisions. Business intelligence (BI) queries answer basic questions about business operations and performance. Big data analytics is…

A wide array of businesses, at present, is opting for data analytics for enhancing the bottom line of their business. However, data analytics is a complicated process and you need to take care of certain things for smooth completion of the project. Here are few do’s and dont’s, you need to take care for completing your project successfully: Do’: Determining the data strategy Before starting the data analysis, you need to find the right application…