Why Analytics Is Key for Product Managers by Airbnb Data Scientist




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Understanding how to access and interpret data is critical for the modern Product Manager. In this session, a data scientist at Airbnb taught the basics in data-informed thinking as well as resources and tools for SQL, python and R. She discussed how you can up-level your skills in interpreting A/B tests, incrementally, and when and why to use Machine Learning techniques.

Dr. Theresa Johnson is a data scientist on Supply Growth at Airbnb, a two-sided marketplace for travel. She also steps in to product manage for her team, and recently shipped Paid Photography globally. Dr. Johnson came to data science with a PhD in Aeronautics and Astronautics from Stanford University.

She currently serves as a founding board member for Street Code Academy, a non-profit dedicated to connecting culture, community and technology in East Palo Alto. She also serves on the special panel on data science interviewing and is a co-founding member of Stddev (Standard Deviation), Airbnb’s employee resource group for Underrepresented Minorities in technical fields. Theresa is passionate about extending technology access for everyone and finding mission driven companies that can have an outsized impact on the world.

Chapter 1 1:25 What is data science?
Chapter 2 2:20 What characteristics should you expect from a data scientist?
Chapter 3 5:00 Data informed, not data driven
Chapter 4 6:55 Challenges that a Product Manager faces with data scientists
Chapter 5 8:10 Who are the data scientists?
Chapter 6 10:05 The data stack levels
Chapter 7 14:25 Centralized, embedded and hybrid model
Chapter 8 19:15 Airbnb principles for decision-making
Chapter 9 20:25 Cross-functional teams
Chapter 10 21:40 Leveraging data insights
Chapter 11 24:05 Machine learning vision at Airbnb
Chapter 12 30:20 Experimentation at Airbnb
Chapter 13 33:50 Unique characteristics about experimentation at Airbnb
Chapter 14 38:35 Launching professional photography at Airbnb
Chapter 15 57:10 Questions from the audience

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Our classes are part-time, designed to fit into your work schedule, and the campuses are located in Silicon Valley, San Francisco, New York, Orange County and Los Angeles.

Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues.

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Comment List

  • Product School San Francisco
    December 1, 2020

    Awesome…I was blown away…

  • Product School San Francisco
    December 1, 2020

    The link for the slides used is not available. Anything you guys can do?

  • Product School San Francisco
    December 1, 2020

    This is one of the best speaker and content.

  • Product School San Francisco
    December 1, 2020

    I am working on an Analytics platform.. Guys check it out and let me know if its cool.. https://fibotalk.com

  • Product School San Francisco
    December 1, 2020

    An awesome presentation. It gives me a very clear understanding of data scientists' working process at LinkedIn and how their process impacts the businesses in every phase. 10/10 recommend watching!

  • Product School San Francisco
    December 1, 2020

    This was really good. Pretty insightful!!

  • Product School San Francisco
    December 1, 2020

    I like the speaker and the content. This is one of the best I have seen in Product School lessons. Good job!

  • Product School San Francisco
    December 1, 2020

    Just randomly landed on this video and found it incredibly interesting.

  • Product School San Francisco
    December 1, 2020

    Man, she is a data god/ess. At the top of her game.

  • Product School San Francisco
    December 1, 2020

    Where is the slides?

  • Product School San Francisco
    December 1, 2020

    Super informative and powerful.

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