Alternative Data - Python / SQL Workshop

Introducing:

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.