Hybrid Data Product Masterclass


Hybrid Data Product Masterclass
Hybrid Data Product Masterclass
Published 3/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Transform raw Data into Profitable Products – Learn Data Product Thinking & Monetization Strategies – Weekly QA sessions

What you’ll learn

The shift from traditional to data-driven business models.

Understanding data products and their real-world applications.

Case studies showcasing the synergy between AI and data products.

The fundamentals of a product mindset, emphasizing a customer-focused approach

A simple, beginner-friendly framework for designing data products

Requirements

Beginner-Friendly – No prior knowledge required. We explain everything in simple terms

Description

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Data Economy and AI

Lecture 2 The Big Shift from Cathedrals to Bazaars

Lecture 3 What is a data product?

Lecture 4 Case studies of data products

Lecture 5 Case studies of AI & Data products

Section 3: Value & Customers

Lecture 6 What is value?

Lecture 7 Data Product Value Measure Framework

Lecture 8 What is quality?

Lecture 9 Typical customer types

Lecture 10 Emerging AI as a Customer

Section 4: Usecases bridge the data and business value

Lecture 11 What is a usecase and why it matters?

Lecture 12 Market pull and data push

Lecture 13 Data product management connects data and business objectives

Section 5: Data Product Toolkit – collection of tools to deliver value!

Lecture 14 Product Mindset to Package Value

Lecture 15 Agile mindset to Deliver Value

Lecture 16 Data Product Toolkit (5 canvases) to Scale Value

Section 6: Next Steps

Lecture 17 Your next steps in becoming a Data Product Steward

Complete beginners who want to learn how data creates business value,Professionals working with data who want to move beyond technical tasks,Product managers & business leaders who want to build data-driven solutions,Entrepreneurs who want to leverage data for innovation,Anyone interested in a future-proof, high-demand career in data products

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