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I was educated to mathematician but failed to get a job because employers were looking for a statistician more than mathematician. I was wondering that if I read lecture notes and books used in university's courses, can I put it on my CV or should I enroll to university again to pass basic courses? I know very well that statistics is so huge field that I'm not looking statistics jobs but mathematics jobs where I can use statistics as well as other fields of mathemtics.

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    You could start participating in CrossValidated - if you have 1,000 rep there, I'll believe you have an understanding of statistics, whether you formally studied math, stats or underwater basket weaving. Aug 21 '15 at 13:17
  • Doesn't your study of mathematics have significant overlap with statistics (i.e. you surely took statistics courses during your study programs). Why not review the statistics aspects of your study and then use that knowledge as your credentials when applying for statistics jobs. Whether you refresh those skills with books, lecture notes or online forums is probably not as important as having the skills.
    – Brandin
    Aug 21 '15 at 13:25
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    @Brandin You can get a degree in math without taking any statistics.
    – paparazzo
    Aug 21 '15 at 13:42
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    +1 to @Frisbee's comment. I have a math Ph.D., took almost zero stats classes - and now work as a statistician. (My personal way to show I knew stats was to do the statistics for studies in psychology and thus co-author scientific papers.) Aug 21 '15 at 13:58
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    @Brandin That is some strange logic. You took a statistics class and therefore it is required.
    – paparazzo
    Aug 21 '15 at 18:43
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Whether they believe it or not isn't really the issue. If they doubt you, they'll either test you on it, or ask for clarification. And statistics isn't so rare that they'd be struck with disbelief at recieving a candidate that has some knowledge of it.

However, when you put it on your CV, it might be beneficial for you to angle it such that it tells a tale of how it fits into the position for which you're applying.

Ask yourself if your level of statistics knowledge is relevant for the position. If it is, list it under "relevant knowledge" and be prepared to answer for it. If it isn't, list it under "other skills", and don't bother elaborating too much.

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    And definitely do NOT put it in the same section as any of your formal education. That could mislead potential employers and leave a bad impression when they discover that you self-trained.
    – David K
    Aug 21 '15 at 13:10
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I am a data scientist who basically does statistical analytics and software. A math job where one does statistics is definitely close to what a data analyst/fraud analyst, etc does. Me, being a self made data scientist, so I would share my experiences about how I made up my profile and successfully managed to land the job.

  1. If you have done MOOC's, then put them up in the summary/about-me section of your resume and definitely on your LinkedIn profile.
  2. Employers tend to love people who have done projects. So, if you have done any side-projects on statistics in your courses, include them on the resume and LinkedIn, explain them in detail. If it is a team project, much better, even your soft skills would get a small boost.
  3. Have a really nice Quora/Stats(Cross Validated) StackExchange profile. Having a nice profile in these forums would heavily boost the chances of your resume impressing the interviewers.
  4. In addition to the above profiles, have a nice Kaggle profile, where you can solve real world math/stats problems. If you are not a coder, then get a guy who can code your math and stats techniques for you, and you can participate as a team.

So, the take-away would be do as many micro/nice projects as you can which involves stats and math, and flaunt them on your resume. Firstly, make sure you do projects on the basic algorithms and techniques first, so that it helps you brush them up and know how they can be used for real world problems.

If you want to solve them by coding your techniques and algorithms and flaunt the graphs and simulations, then ask a friend of yours who code, for help.

I have attached my LinkedIn and Quora profiles, which I think might help you prepare your own.

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Getting stats-related certifications would be helpful. The Society of Actuaries exams are good examples, especially the P and C exams.

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  • Right. Passing an exam (ideally one with a reputation for rigour) is the generally-accepted way of proving one's knowledge to a potential employer.
    – A E
    Sep 2 '15 at 18:01

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