Alternative Data: Advanced Lab Sessions
Alt. Data for investors. Two days. 10 Sections. Online. Advanced coding insights. Prerequisits: Python or R, SQL, Excel.
Interactive, limited to 10 people
What you will learn:
Removing bias from data to increase revenue production accuracy
Maximizing panel constituent counts with non-linear imputation
Refined techniques to combine heterogeneous datasets
Showcase and validate alt. data for various investment themes
Valuate alt. data using established alpha estimation techniques
What to expect after taking the course:
Proficiency in importing, transforming, and pre-processing large alternative datasets to be used within an institutional investment framework
Ability to clean, aggregate and utilize unstructured, raw alt. datasets
Deep understanding of pitfalls and advantages of alt. data in the correct opaque vendor ecosystem.