Become a Data Product Manager
At 10 hours / week
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Prior Data Analysis & Product Management Experience RecommendedSee detailed requirements.
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 data science, machine learning, and artificial intelligence 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.Develop a Data-Backed Product Proposal
Products that collect data from its users can only leverage such data if it gets processed and stored properly. Data product managers need to ensure their products have the appropriate supporting data pipelines in place so that data collected from users can be extracted, transformed, and loaded into a data lake or warehouse that can be used for statistical analysis. Learn about data infrastructure components including data pipelines, data producers, data consumers, data storage, and data processing. Master the nuances of evaluating strategic decisions for data pipeline technology, including security and compliance. Apply learnings to make step-by-step decisions for data infrastructure of an organization. Create solutions for real-world data infrastructure problems and evaluate tradeoffs.Build a Scalable Data Strategy
The best products adapt to market changes over time and are constantly being refined based on user feedback. With a robust data pipeline, the amount of data collected through product usage is extremely valuable to product managers for enhancing their products. Understand which data is best collected through quantitative versus qualitative methods, and how to interpret it. Learn how to apply chi-square tests to determine if results from data analysis are statistically significant. Utilize user data to create user personas that are actionable for development teams to translate into code and for building out user journey maps that describe the stages a user engages with the product along with the associated risks and opportunities. Extract insights from user journey maps to define KPIs of suggested product enhancements and design the relative hypotheses and experiments that are needed to prove the assumptions of product enhancements.Create an Iterative Design Path
Sr. Product Manager at Zendesk
JJ is a product leader obsessed with creating simple, novel solutions for the world’s most challenging issues. He’s sunk his teeth into analytics & data product management for Beats Music, Apple, VSCO, & Collective Health.
Product Manager at Expedia
Vaishali has 12+ years’ experience in tech eco-system ranging from product management, product development, content writing to coding. She is experienced in building platforms, high performance start-up divisions, streamlined operations, and managing customer expectations.
Sr. Product Manager at DISQO
Anne has 6+ years’ experience in product management in the software industry, including EdTech and market research industries. She is an agile leader experienced in launching and growing both consumer and enterprise-facing products.
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