Analyzing Product Data in Python
Key Takeaways:- Understand the fundamentals of product data science and its applications.
- Gain insights from a real-world case study on analyzing website product data.
- Learn how to use Python to conduct product data analysis effectively.
Description
Product data science is a powerful tool for understanding how users interact with products, identifying growth opportunities, and optimizing business strategies. By analyzing product data with Python, data scientists can uncover valuable insights that drive product development and enhance user experiences. This code-along session offers a practical, hands-on approach to mastering these techniques through a real-world case study.
In this session, Arun Prem Sanker, a Product Data Scientist at Stripe, will guide you through the process of analyzing website product data using Python. You’ll learn what product data science involves, explore a detailed case study, and gain practical experience using Python to analyze and interpret product data. This session is perfect for data scientists looking to apply their analytical skills to product data and generate actionable insights for business impact.
Presenter Bio
Arun has 12 years experience as a data scientist, with specialty of analyzing product data. At Stripe, his work focuses on driving product growth through experimentation, predictive modeling using ML, and advanced analytics. Previously, Arun was a Data Scientist at Amazon, and a Decision Scientist at Mu Sigma. Arun holds an MS in Analytics from Georgia Tech and a Bachelor’s from NIT Calicut.