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20 Reasons Why Big Data Analytics is the Best Career Move

By   /  October 26, 2017  /  BI / Data Science Blogs, BI / Data Science News, Articles, & Education, Big Data Blogs, Big Data News, Articles, & Education, Data Blogs | Information From Enterprise Leaders, Data Education, Enterprise Information Management, Information Management Blogs  /  No Comments

Click to learn more about author Anil Parmar. An estimated 2.7 million job postings for Data Analytics and science are projected in the United States by 2020. With more and more companies understanding the importance of Big Data as a useful source for gaining insights and making informed decision- the demand for Data Analytic specialists who […]

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Artificial Intelligence Education: Missouri Science & Technology’s Innovative Programs

By   /  September 27, 2017  /  BI / Data Science Articles, BI / Data Science News, Articles, & Education, Big Data Articles, Big Data News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Education Resources For Use & Management of Data, Smart Data Articles, Smart Data News, Articles, & Education  /  No Comments

The Missouri University of Science and Technology (Missouri S&T) is one of the nation’s leading technological research universities. It has consistently received a high ranking as a top public research facility, and was recently named the United States 3rd Best Engineering University. The school was founded in 1870, and originally named the Missouri School of […]

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The Innovative Data Scientist: Overcoming the Big Data and Data Management Divide

By   /  July 27, 2017  /  BI / Data Science Articles, BI / Data Science News, Articles, & Education, Big Data Articles, Big Data News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Education Resources For Use & Management of Data, Smart Data Articles, Smart Data News, Articles, & Education  /  1 Comment

In an ideal world, a Data Scientist is expected to demonstrate a rare combination of technical, analytical, and communication skills that make them sought after data innovators. In the real world, Data Scientists arrive from a wide variety of academic majors like mathematics, statistics, economics, operations research, or computer science. Additionally, the roles they assume […]

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Fundamentals of Descriptive Analytics

By   /  July 6, 2017  /  BI / Data Science Articles, BI / Data Science News, Articles, & Education, Big Data Articles, Big Data News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Education Resources For Use & Management of Data, Smart Data Articles, Smart Data News, Articles, & Education  /  No Comments

Descriptive Analytics, the conventional form of Business Intelligence and data analysis, seeks to provide a depiction or “summary view” of facts and figures in an understandable format, to either inform or prepare data for further analysis. It uses two primary techniques, namely data aggregation and data mining to report past events. It presents past data […]

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Data Analytics Education and Data Science: The University of Maryland’s Ten-Year Plan

By   /  June 29, 2017  /  BI / Data Science Articles, BI / Data Science News, Articles, & Education, Big Data Articles, Big Data News, Articles, & Education, Data Articles | Data Science, Business Intelligence, & More, Data Education, Education Resources For Use & Management of Data, Smart Data Articles, Smart Data News, Articles, & Education  /  1 Comment

On May 1, 2015, the University of Maryland’s Department of Computer Science presented a 10-year plan, placing a focus on expanding two areas of computer science: a comprehensive Data Analytics education and Data Science program, that also included a focus on Augmented/Virtual Reality. They recognized the need for Big Data expertise and the use of […]

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Mining Unstructured Data: The Silver Standard

By   /  June 13, 2016  /  Data Daily | Data News, Data Education, Education Resources For Use & Management of Data, Smart Data News, Smart Data News, Articles, & Education  /  No Comments

by Angela Guess Alex Woodie recently wrote in Datanami, “The traditional approach to mining unstructured data typically involves training machine learning models upon high-quality “gold standard” data that’s been meticulously groomed. But thanks to innovations in deep learning, more insight may be extracted at less cost by training upon larger amounts of raw data, or […]

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A Liberal Arts Approach to Data Science

By   /  April 26, 2016  /  Data Daily | Data News, Data Education, Data Science News, Data Science News, Articles, & Education, Education Resources For Use & Management of Data  /  No Comments

by Angela Guess George Mount recently wrote in Smart Data Collective, “This week I read a great piece by Adam Weinberg, the president of Denison University, on his school’s initiatives to apply a liberal arts approach to data science. This is shocking to most, but why? Let’s diagram this phrase ‘data science’ (English skills!). Data […]

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Survey Shows Data Scientists Spend Most of Their Time Cleaning Data

By   /  March 24, 2016  /  Data Daily | Data News, Data Education, Data Science News, Data Science News, Articles, & Education, Education Resources For Use & Management of Data  /  No Comments

by Angela Guess Gil Press reports in Forbes, “A new survey of data scientists found that they spend most of their time massaging rather than mining or modeling data. Still, most are happy with having the sexiest job of the 21st century. The survey of about 80 data scientists was conducted for the second year […]

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Where Traditional Business Intelligence Tools Fall Short

By   /  February 5, 2016  /  BI / Data Science News, BI / Data Science News, Articles, & Education, Data Daily | Data News, Data Education, Education Resources For Use & Management of Data  /  No Comments

by Angela Guess Sarah Gerweck recently wrote in Information Management, “Traditionally, Business Intelligence leverages only some of the most basic statistical techniques available. BI is still largely using 17th-century statistical techniques: counts, sums, averages and extrema. At most, we might use techniques that were used by Gauss and Galton in the 19th century (e.g., standard […]

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