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STATISTICS sc 282 bsc. biostatistics

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    Always Do the Reading

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    Requires Lots of Research

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    • Profile picture
    Nov 15, 2016
    | Would highly recommend.

    Pretty easy, overall.

    Course Overview:

    The course is very important, since it helps an individual to learn how to collect data, analyze and make final interpretations. It also helps gone to understand how to write projects. It also helps one to learn several softwares like R software, SPSS, and STATA

    Course highlights:

    Choosing a professional career is always a challenge: it is a vital process in which we attempt to take into account our own interests, skills and personality, especially when our knowledge about the chosen profession is low. Knowing precisely what courses to take and experiences to line up seems to be one of the most important issues to address during this period. As noted by different information sources—media and social networks, see here and here—what is now commonly called “data science” is becoming an emergent and fashionable career. Added to that, there are many other reasons for choosing to work in this area and we would like to show you our main motivations to make Biostatistics our future. Applied Statistics From the point of view of a mathematician, one of the main reasons to specialise in Statistics, and particularly in Biostatistics, is the applicability of this field of mathematics. We are sure that other fellow biostatisticians have felt at some point—as we have—the need to apply their mathematical knowledge to real cases beyond the abstraction that characterises the most theoretical areas of this science. Complementary Disciplines From other perspectives, for example in the case of a biologist, it is often perceived within research groups an unmet need for statistical expertise. This applies both to biomedical sciences and other fields such as ecology and plant or animal biology. In the first scenario, this need might be filled thanks to epidemiology and biostatistics units that provide statistical support to other researchers. In the second one, thanks to the collaboration with statisticians within the host university or institution. In both contexts, a profile of a research biologist with advanced knowledge in statistics would be desirable. From the point of view of a biostatistician—on the other hand—communication with researchers from other fields like medicine or sociology requires specific training and reciprocal knowledge exchange in these complementary disciplines. Both points of view seem to suggest that multidisciplinary teams are the most suitable environments for biostatisticians. Having the chance to easily communicate with practitioners from other disciplines makes each day at work a new learning experience. Career opportunities One other characteristic of Biostatistics that makes it particularly attractive is the fact that there is a wide range of job opportunities in all type organisations, varying from pharmaceutical companies to environmental agencies to hospitals and universities and more. Having the opportunity to combine work in both the public and private sector throughout one’s professional career is certainly a bonus that provides professionals in the field with a flexible approach and an open perspective, together with the multidisciplinary focus required in this area. I learned how to calculate multivariate data, data analysis and use of computer softwares like R and SPSS.

    Hours per week:

    6-8 hours

    Advice for students:

    This course helps one to know how to analyze large data by use of computer softwares like R and SPSS. It is an easy course and understandable. It can be applied in our daily lives and also when doing projects and proposals.

    • Summer 2016
    • dr.georgeorwa
    • Yes
    • Requires Lots of Research
    • Profile picture
    Oct 22, 2016
    | Would highly recommend.

    Not too easy. Not too difficult.

    Course Overview:

    It is a very flexible course where one can major in different fields but within the same course. One can be able to do monitoring and evaluation, ecology, epidemiology or just statistics from the same course.

    Course highlights:

    The highlights of the course were majorly the lab works where we did cell biology practically. We were able to acquire our own samples. The computer lab sessions were also very awesome, we learnt R studio effectively and SPSS as well. The whole course was very informative and had teasts every stop but all was very worth while.

    Hours per week:

    6-8 hours

    Advice for students:

    If you are passionate about data collection, analysis and anything else relating to data then this course is definitely for you. In this one course one is able to major in several different fields very easily and be able to fit in very well.

    • Fall 2016
    • dr.georgeorwa
    • Yes
    • Always Do the Reading Group Projects Requires Presentations

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