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If you are taking CFA Level 2 exam then this refresher podcast is for you. Please check free sources in the links below. -- Important: 1. This podcast is NOT a replacement of curriculum studies. 2. This conversation is based on my notes and understanding. -- Overview: These sources detail a data analysis focusing on financial forecasting using both structured and unstructured (text) data. In general, the process covers data preparation and wrangling, including cleansing and preprocessing techniques specific to each data type. Exploratory data analysis (EDA) methods, such as visualization and statistical analysis, are explained to identify patterns and relationships. Model training is described, emphasizing method selection, performance evaluation (confusion matrices, ROC curves, RMSE), and hyperparameter tuning to optimize model fit. Speakers then discuss a typical a case study like question could be approached. -- Resources (PDFs): 1. Debriefing summary: https://drive.google.com/file/d/1YoZ_... 2. Review guide: https://drive.google.com/file/d/115L6... 3. Brainstorming FAQs: https://drive.google.com/file/d/1BGXC...