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FutureLearn Week 2: Post 2 of 4

With big data becoming much more important in recent years the need for data scientists has also increased. These data scientists are educated in discovering, collecting, processing, analysing and presenting information gained from these large amounts of data and often compare and combine it with different sources.

The skills these data scientists must have are data visualisation skills, statistical skills, data processing and systems engineering skills, they must have an understanding or have a sufficient level of skill with programming languages as well as mathematical and analytical skills.

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FutureLearn Week 2: Post 1 of 4

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Post #1: Definition of Big Data

Big Data  is a term that is used to describe a massive volume of both structured and unstructured  data  that is so  large  it is difficult to process using traditional database and software techniques. In most enterprise scenarios the volume of  data  is too  big  or it moves too fast or it exceeds current processing capacity. Big Data  comes from text, audio, video, and images.  Big Data  is analysed by organisations and businesses for reasons like discovering patterns and trends related to human behaviour and our interaction with technology, which can then be used to make decisions that impact how we live,  work , and play. This Big Data can also  be analysed for insights that lead to better decisions and strategic business moves.