Product Data Goal

The goal of the data course is to support product teams to deliver more user and business value by understanding better how to collect, analyse, experiment with and make decisions with data to support the business in gaining velocity and executing on the right priorities.

Benefits for Product teams include….

  • Understand how data fits into the way products work

  • Determine how to measure the success of your product using key performance indicators

  • Strengthen our product teams’ ability to make data informed decisions

  • Respond to the common challenges that our teams face when working with data

  • Equip product managers to autonomously interpret their data and to better collaborate with their product analysts

  • Enable our product teams to run better experiments by using data to build their hypotheses and run AB tests that are statistically correct

Who is the course for?*

  • Product teams

  • Product Manager/Product Owner

  • Data Analyst

  • Developer/Engineering Manager

  • *Individuals who are not part of product teams can go through the self-serve content to support their ongoing development.

Content

  • 1

    Part I: Data Collection done right

    • Overview

    • Lesson 3.0: Why data is important for product

    • Lesson 3.0: Quiz

    • Lesson 3.1: Why do we need data for product development?

    • Lesson 3.1: Quiz

    • Lesson 3.2.1: How you can find, track and leverage this data today in Adevinta? Collect, Refine, Distribute, Enjoy

    • Lesson 3.2.1: Quiz

    • Lesson 3.2.2: How you can find, track and leverage this data today in Adevinta? The data lifecycle

    • Lesson 3.2.2: Quiz

    • Lesson 3.2.3: How you can find, track and leverage this data today in Adevinta? Discovering Data Catalogues

    • Lesson 3.2.3: Quiz

    • Lesson 3.3.1: What can you do to have top quality data? What happens when you don’t?

    • Lesson 3.3.1: Quiz
  • 2

    Part II: Interviews - Adevintans and Data Quality

    • Lesson 3.3.2: Interview - Enric, Data Enabler in Adevinta Spain

    • Lesson 3.3.3: Interview - Redhouane, Data Scientist in Panda

    • Lesson 3.3.4: Interview - David, Data Engineer in Leboncoin

    • 3.3.5: Interview - Maria, Data Analyst in Global Markets
  • 3

    Part III: Recap and Reflection

    • Lesson 3.3.6: What can you do to have top quality data and what happens when you don’t?

    • Rate your satisfaction on Module 3

    • What's next?

Learn more about the course


Instructors

Data Engineer

Iker Martinez

Iker is a Data engineer focused on democratizing access to data and growing a data culture inside Adevinta. Iker works as the enabler lead for Data and Privacy with his team facilitating data sharing within any two teams in the company, and building impactful machine learning use cases. Among other initiatives, they have facilitated integrations between marketplaces like Leboncoin, RE Spain, Milanuncios, Aval, Jofogas, Subito… and central teams like Panda, Messaging, Personalisation, ..., with data flowing in both directions.