Enroll Course: https://www.udemy.com/course/mvp-dataproduct/
In today’s data-driven world, data scientists are increasingly expected to do more than just analyze data; they need to build and launch products. This Udemy course, “【Python / No Code Bubble】データプロダクトのMVP作成・リリース・カスタマーサクセスの全容解明” (roughly translated to “Python / No Code Bubble: Unveiling the Full Picture of Data Product MVP Creation, Release, and Customer Success”), offers a comprehensive guide to this crucial skill.
The course focuses on the entire lifecycle of a data product, from initial requirements definition to customer success, using a practical approach centered around building a Minimum Viable Product (MVP). Through the relatable example of analyzing customer churn, the course walks you through key stages: how to structure discussions, build models, develop an MVP, and nurture the product post-launch.
What sets this course apart is its practical technology stack. You’ll start by coding in Python within Google Colaboratory, then transform your analysis into an MVP using Streamlit. The journey doesn’t stop there; the course progresses to using the no-code platform Bubble to integrate machine learning, offering a powerful next-level MVP. This transition from a solution-oriented approach to a product-oriented one is a core takeaway.
The course is designed as a simulated experience, taking you through the process of data product development with AI. It aims to equip participants with the skills to master this entire workflow. While the course mentions MVD (Minimum Viable Data), it uses MVP as the overarching term, with a clear explanation of the nuances provided within the lectures.
This course is highly recommended for data scientists, data analysts, product managers (PdM), project managers, and anyone in strategic planning roles who wants to leverage data science for business growth. If you’re looking to bridge the gap between data analysis and tangible product delivery, this course provides the roadmap.
Enroll Course: https://www.udemy.com/course/mvp-dataproduct/