Data in Product Management

Washington, D.C. campuses

GA D.C. (Northern Virginia)
2231 Crystal Drive - 10th Floor
Arlington VA 22202

GA D.C., 1776
1133 15th Street NW, 8th Floor
Washington D.C. 20005

Past Locations for this Class

Data in Product Management

Washington, D.C.

Washington, D.C. campuses

GA D.C. (Northern Virginia)
2231 Crystal Drive - 10th Floor
Arlington VA 22202

GA D.C., 1776
1133 15th Street NW, 8th Floor
Washington D.C. 20005

Past Locations for this Class

About this class

Data need to be at the core of product development in the next few years. Not only in the post-hoc analysis of usage metrics and A/B tests. The continual intake and exhaust of data are determining how products behave and what new classes of products are possible. Machine learning models automatically adapt products to users’ preferences, make recommendations about next actions, and suggest future features and products. Data product managers needs understand this and incorporate it into their products.

Takeaways

  • How to use integrate a data strategy in your product development process
  • What data is currently possible and what will soon be possible in the digital and physical world
  • What are some privacy & security measures when working with data?
  • When to use Machine Learning, and AI for your product?
  • What tools and platforms you can use to start capturing, analysing and ultilise the data you collect?
  • Lastly, a showcase of some products that have embraced data at their core.

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