Causal Modeling - causes, effects and correlation

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Master the development of causal models in practice with a Silicon Valley expert in 6 hours. As a result, you can independently perform causality calculations in Python.

On the course you:

- master the theory of causal modeling and, using the examples of the lecturer, consider how the DML method is used in working with data
- learn how to use the DML method to analyze, evaluate the accuracy of models, improve the efficiency of A/B testing and predict the impact of new services on profitability
- perform the calculation of caus

Course Description

Lecturer

Rostislav Buchko

Principal Data Scientist in TextNow, former Principal Data Scientist in Amazon's trading wing

- 8 + years of Data Scientist experience in private business in Silicon Valley companies
- 10 + years of experience as a physicist at the National Laboratory. Lawrence in Berkeley, USA
- Went from Data Scientist to Principal Data Scientist in Amazon, TextNow, F5 Networks
- developed complex MedTech solutions and has more than 25 publications in journals on medicine, innovation, Data Science

Causal Modeling - causes, effects and correlation
Platform:
robot_dreams
Language of course:
Ukrainian
Duration:
2 дні
Difficulty:
Medium
Format of the event:
Online
Certificate:
Yes
Price
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