This is an exclusive workshop, where you will get to sit in on one of our actual classes with Product Gym's members. There will be no more than 5 seats being offered.

With data scientists being one of the most important stakeholders to work with as a Technical Product Manager, it's crucial to know how to address the Data Science questions of the Product Manager interview, which can seem nearly impossible for those without a tech background.

In this class event, we learn from Instabot Technical Product Manager, Jimmy Ng on how to best work with data scientists as it relates to product. He will discuss everything you'll need to know as a Product Manager when working with data, from identifying different types of data/analytics to developing a comprehensive data strategy for your product.

Main Takeaways:

Types of Data and Analytics
Meaningful vs. Vanity Metrics
Data Analytics Strategy
In-Class Exercises
Common Data and Analytics Mistakes
Data-Centric Product Mindset

Meet the Instructor:

Jimmy Ng

Technical Product Manager at instabot.io

Jimmy is a 10-year veteran of the technology industry with broad experience spanning hardware design, embedded systems, network infrastructure, data, front-end UI/UX and mobile-app development. He’s contributed to organizations big and small in a variety of roles in engineering, technical services, client-management, and product development. Jimmy holds both a Bachelor of Science and Master of Engineering in Computer Engineering.

Most recently he owned the dashboard and reporting product roadmap at White Ops, where he drove product development for customer usability features and UI/UX from ideation through customer commercialization.

Before that, Jimmy spent 3 years at MoPub, which was acquired by Twitter in 2013. He was the founding member of the technical services and consulting team that on-boarded and supported buyers on the programmatic ad-exchange. He had a core charter of scaling and improving technical services provided to the publisher and exchange partner client base, as well as the integration partner ecosystem.

At his core, Jimmy is a New Yorker, Seinfeld fanatic and lifelong student of expanding his technical skill-set, knowledge and the roles in which he contributes to a business. He hates operational inefficiencies and poor documentation. He loves working with engineers and building simple products that solves problems.

Disclaimer: This class is part of a 12-class cohort cycle with Product Gym, a Product Management Career Accelerator. Guest attendee tickets advertised in this Eventbrite are limited to two total classes per individual. If you are interested in attending more than two total Product Gym classes, please schedule a call with us at: https://productgym.io/schedule-a-call/.

How to Answer Data Science Questions in the Product Manager Interview

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