7. Statistical Analysis and Modelling
1: Time Series Analysis
1. Time Series Analysis Using Forecast Library (Mon/Wed)
2. Introduction to ARIMA, SARIMA and Parameters Selection (Tues/Thurs)
3. Detecting Outliers in Time Series: ‘anomaly’, ‘tsoutliers’, and ‘checkresiduals’ (Tues/Thurs)
2: Miscellaneous
4. Sentiment Analysis in Tweets about Fast Fashion (Mon/Wed)
5. Causal Inference with Sandwich Package in R (Mon/Wed)
6. Caret Package for Machine Learning (Tues/Thurs)
7. Correlation between Google keyword searches and stock prices via regression (Tues/Thurs)