Data Science Webinars
Tristan studied aeronautical engineering, then moved into software engineering after a short career in helicopter flight testing. He designed integration software in financial services before moving into distributed systems and big data. Tristan now builds predictive analytics solutions in the micro-insurance industry, using automated machine learning tools in PySpark.
Key takeaways for you
- Understanding of Hypothesis Testing process
- Learning the Importance of p-value
- Knowing the errors in hypothesis testing
- Implementation of hypothesis testing in Python