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    Rowena Boddington said:

    Really interesting post. Definitely agree that data scientists need to ensure that they don’t just have the mathematical skills, but also need to have the business knowledge to be able to answer the question “what does this mean?”. Having the skills to make actionable insight with real advantages for business/organisations is really important.

    Imperial College London has just launched a new Master’s programme, MSc Data Science & Management, to answer this need. You can find out more here:

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    Tom Hennessy said:

    Data scientist is a relatively new field. Health Research Analysis , preceded the ‘big boom’ in ‘data mining’ , data science , by quite a few years. A mere decade ago you could search Health Research Analyst and you would get me. Now , you can’t even find me. I still have people asking me how I claim to be a ‘Health Research Analyst’ and I explain how I coined the term , and leave it at that , unless they press my claim.

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    raghu ram said:

    I completely agree- believe someone who understands or can pick up a business context will have the edge- the statistical knowledge and technical wizardry can be picked up. I hate it when data science is seen as a game of advanced statistics and the theory that tons of data and algorithms can make up for subject matter expertise

    I feel quite strongly on this and mention the same on my blog bizmachinelearning

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    Rahul Vyas said:

    Developing statistical models or algorithms (i.e. knowledge) and providing inside details to the world for the betterment of society is a key challenge. I am a data scientist, because I enjoy playing with Data i.e. big or medium or small data will not change my passion to enjoy playing numbers and statistical algorithms.

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    Joe Fung said:

    What is missing the most, in my opinion, is practice. Sure, one can manage to find a dataset and tinker with it, but this is rather unstructured and therefore not the best in terms of learning efficiency. It would be lovely to have something like Kaggle, without the competitive component though, oriented at budding Data Scientists; so that people learn together, not separately. Showing each other’s code, answering each other’s questions and so forth. A sort of sandbox to tinker with the technology in a more controlled environment. Try this website for more info