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Monash University

Areas of Study

Data science

  • FIT3152
  • Clayton Second semester 2013 (Day)
  • 6 points, SCA Band 2, 0.125 EFTSL
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In recent years the world has seen an explosion in the quantity and variety of data routinely recorded and analysed by research and industry, prompting some social commentators to refer to this phenomenon as the rise of "big data," and the analysts and practitioners who investigate the data as "data scientists."<br/><br/>The data may come from a variety of sources, including scientific experiments and measurements, or may be recorded from human interactions such as browsing data or social networks on the Internet, mobile phone usage or financial transactions. Many companies too, are realising the value of their data for analysing customer behaviour and preferences, recognising patterns of... -- Course Website

Prerequisites: FIT1006, ETC1000 or equivalent. (For example BUS1100, ETC1010, ETC2010, ETF2211, ETW1000, ETW1010, ETW1102, ETW2111, ETX1100, ETX2111, ETX2121, MAT1097, STA1010)



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