More About the Master of Information and Data Science

We view data science as a complex interplay of three processes, all driven by data.

Data Science from Scratch: First Principles with Python

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  • Data science affects academic and applied research in many domains, including , , , , , but also the , , , and the . It heavily influences , and . From the business perspective, data science is an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as and .

    1. Data Science is not Magic: although it might feel like that to some. You don't get predictions using a crystal ball you get predictions using data. And wherever data is involved, no magic is involved. Data Science is just a way to take Data driven Decisions. Data Science alone won't solve all of your problems.

  • 1996Members of the International Federation of Classification Societies (IFCS) meet in Tokyo for their biennial conference. For the first time, the term "data science" is included in the title of the conference ("Data science, classification, and related methods").

    Data science requires skills ranging from traditional computer science to mathematics to art. Describing the data science group he put together at Facebook (possibly the first data science group at a consumer-oriented web property), Jeff Hammerbacher said:

    Data Scientist Salary $89,000


  • KDnuggets Home :: News » 2012 » Apr » Publications » A Very Short History of Data Science  (  Prev | 12:n10 | Next  )

    Data science employs techniques and theories drawn from many fields within the broad areas of , , , , and , including , , , , , , , , , , , , , , , and . Methods that scale to are of particular interest in data science, although the discipline is not generally considered to be restricted to such big data, and big data solutions are often focused on organizing and preprocessing the data instead of analysis. The development of has enhanced the growth and importance of data science.

In an earlier , I discussed five attributes of Data Scientists.

While the main languages of data science is and , F# can also be used to great extent within this realm. However, if there is a need to use R, then it even has its own . Even Python can be used within F# by using the library. With these two languages able to be inter-opted within F# along with the power of F# itself, I don’t see any reason not to use F# for data science.