活跃农民
- 积分
- 875
- 大米
- 颗
- 鳄梨
- 个
- 水井
- 尺
- 蓝莓
- 颗
- 萝卜
- 根
- 小米
- 粒
- 学分
- 个
- 注册时间
- 2011-1-23
- 最后登录
- 1970-1-1
|
|
you might want to take theory of statistics, which could be challenging but it will allow you to know basic statistics thoroughly. Then you might want to take some other applied courses. For instance, Bayesian analysis (I recommend this because I am a Bayesian and think it is really useful); Multivariate analysis is also an interesting class but depending on different schools/teachers, it could be very theoretic or the other way around, i.e. very practical. One more thing you want to have in your tool kit is programming skill. Definitely you need to take some statistical programming class. Between R and SAS, I would recommend R if you are/will be a PhD. SAS is more like designed for industry but it doesn't hurt to know SAS because it is also very popular and even preferred by industry. That is just my opinion and hope it's helpful. |
|