Statistics · Columbia University
In-depth times series analysis, heavily focused on the theoretical aspect.
Adequate materials and reasonably-hard topics
A broad range of statistical modelling topics: hypothesis testing, Bayesian inference, time series analysis, regression etc...
Basic knowledge about time series analysis.
The statistics courses for ds are all below expectations and I want my money back. The professor only copies things from his pad and reads it out. His handwriting is hard to recognize and his voice becomes lower and lower as he writes. It is even hard to learn by myself because of the terrible handwriting and he did not specify the materials for each lecture.
time series models in stationary and non-stationary condition, evaluation on plots and data
This course is friendly to those who lacks statistic background and is willing to do some data science works. 1 Columbia University: Arts & Sciences Spring 2023 Course: STATGR5703_002_2023_1-STATINFERENCE&MODELING : STATGR5703_002_2023_1 - STAT INFERENCE & MODELING Instructor: Franz Rembart
A good introductory course on Time Series Analysis