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Ten Myths About Data Science

Click to learn more about author Daniel Jebaraj. Introduction Data Science is now being used as a competitive weapon. As with other technologies and processes that can transform the way companies operate, there’s a lot of contradictory information about it that’s causing considerable confusion. Most of today’s business leaders have heard that Data Science can […]

The Future of NLP in Data Science

According to many market statistics, data volume is doubling every two years, but in future this time span may get further reduced. The vast portion of this data (about 79 percent) is text data. Natural Language Processing (NLP) is the sub-branch of Data Science that attempts to extract insights from “text.” Thus, NLP is assuming […]

Why Data Science is Not Statistics

Click to learn more about author Alex Paretski. Statistics as a branch of applied mathematics plays an important role in identifying hidden patterns in data. That’s why it is frequently used interchangeably with broader terms such as Data Science, Data Analytics, Business Analytics, and Machine Learning. Not only is this comparison technically incorrect, but it […]

M.S. in Data Science Curriculum

Click to learn more about author Steve Miller. I’ve been blogging on Business Intelligence/Analytics/Data Science for 12 years. And I’ve been recruiting analytics candidates from top colleges for my consulting firms for even longer. Those who read my blogs know I’m pretty opinionated about what I look for in new grads, preferring students committed to […]

So You Want to be a Data Engineer?

The work of Data Engineers is extremely technical. They are responsible for designing and maintaining  the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to Data Warehouses. Data Engineers need to have a solid understanding of commonly used scripting languages and are expected to support the steady evolution of improved Data Quality, […]

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