TIME SERIES ANALYSIS (DASCI 264)
This course looks at classic and state-of-the-art methods in time series analysis. Students will learn statistical and machine learning techniques to model time series data. In addition, the course focuses on a holistic approach to model building, emphasizing the practical aspects of data pre-processing, feature engineering, model selection, hyperparameter tuning, and performance evaluation of time series models. The skills gained in this course are critical to the success of a practitioner or researcher in the field of data science.