Hey guys,
I'm an undergraduate third year statistics major and I was wondering if I could get some advice on course selection. Next quarter I have the option of taking Time Series Analysis or Nonparametric Statistics. I've only taken the calc series, linear algebra, and taking regression analysis this quarter. I will be taking Analysis of Variance with one of these classes next quarter. The course descriptions are:
Applied Time Series Analysis: Time series relationships, cyclical behavior, periodicity, spectral analysis, coherence, filtering, regression, ARIMA and state-space models; Applications to data from economics, engineering, medicine environment using time series software.
Applied Statistical Methods: Nonparametric Statistics: Sign and Wilcoxon tests, Walsh averages. Two-sample procedures. Inferences concerning scale. Kruskal-Wallis test. Measures of association. Chi square and Kolmogorov-Smirnov tests.
Because I might possibly be pursuing biostatistics in grad school (not 100% sure yet) the time series analysis class would be more beneficial? What do you guys think? Which one do you think will more difficult?
Thanks.