Learn Data Science For Product Management

Learn Data Science For Product Management

As products become more digital, the amount of data collected is increasing. Product managers now have the opportunity to utilize this data to not only enhance existing products but create completely new ones. Understand the role of data product managers within organizations and how they utilize robust data modeling and analysis in collaboration with data scientists to solve problems. Learn how to visualize your data with Tableau for statistical analysis and identify unique relationships between variables via hypothesis testing and modeling. Evaluate the output captured in statistical analyses and translate them into insights to inform product decisions.


According to Paysa, the U.S. national base pay for a Product Manager is $125,000.


1. Introduction to Data Product Management
2. Granularity, Distribution, and Modeling Data
3. Trends, Enrichment, and Visualization
4. Setting Product Objectives & Strategy
5. Final Project: Develop a Data-Backed Product Proposal


Why should I enroll?
Product Manager is a top 5 job on LinkedIn's Most Promising Jobs for 2019, and one of the most coveted roles in large tech enterprises, as well as entrepreneurial startups. All products developed for today's market are data products - running on data-derived insights to provide the right experience, to the right user, at the right time. Companies like Amazon, Netflix, Google, and more are able to provide personalized and engaging experiences to users because they utilize data science, machine learning, and artificial intelligence to better meet user needs.

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