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Fundamentals of Data Product Management and Data Strategy
Skyrocket your career by learning how to craft effective data strategies and create inspiring data products.

What you will learn

What is data product management and why is it important nowadays

What are the responsibilities of a data product management

What is data strategy and how do I craft one

What decisions do I need to make as a data strategist and how do different options compare

Why is data governance important

What skills do I need to succeed in as a data product manager

What are the different types of data products

What are the different stages of a data product’s lifecycle

Description

Welcome to the “Fundamentals of Data Product Management and Strategy,” an essential course tailored for those who aspire to tap into the immense power of data for strategic advantage. If you’re considering a career in data product management or if you’re in search of a holistic understanding of how data can steer your business objectives, this course is your perfect companion.

In the world that is increasingly centred around data, its value cannot be overstated. Data products, in particular, have become vital tools for organisations, harnessing raw data and transforming it into meaningful insights that guide decision-making and strategic planning. The advent of Machine Learning and Artificial Intelligence products has only further accentuated this trend, promising unprecedented opportunities for those ready to seize them.

However, there’s a notable void in the learning marketplace – while many courses focus on data-driven product management, few truly address data product management. Our course intends to bridge this gap, providing an in-depth exploration of the crucial elements of data product management without overwhelming you with excessive technical details.


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We offer an immersive learning experience into the world of data strategy, a pivotal aspect often overlooked in conventional courses. Understanding how to strategise and operationalise data can significantly boost your organisation’s business success, making it an indispensable part of your learning journey.

But our course doesn’t stop at that. It delves deeper, exploring the complete lifecycle of data products – from identification and design to development, testing, and deployment. We also equip you with the vital skills you’ll need as a data product manager, including mastering roadmaps, managing expectations, collaboration tactics with internal and external teams, and leveraging agile methodologies.

In the “Fundamentals of Data Product Management and Strategy,” we aim to demystify the complexities of data product management and present it as a strategic differentiator in today’s data-centric world. Join us on this enlightening journey today and step confidently into the future of data.

English
language

Content

Introduction

Introduction
The Rise of Data Products

Data Fundamentals

Data Fundamentals Section Intro
Understanding Data Types and Formats
Understanding KPIs
Experimentation and testing
Data Informed versus Data Driven Approaches
Section Conclusion
Data Fundamentals Quiz

The Types of Data Products

Section Intro
Data as a Product
Data Platform Products
Data Products
Analytical Data Products
Operational Data Products
ML / AI Products
Section Conclusion
Data Product Types Quiz

Data Strategy

Section Intro
Aligning data strategy with business objectives
Data assets and sources
Data pipelines
Events and Normalisation
Database types and features
Data processing
Data Warehouses and Lakes
Data Modelling
Data Mesh and Data Platform
Data Visualisation
Cloud versus On Premise options
More Data Strategy & Infrastructure Decisions
Building a data culture
Section Conclusion
Data Strategy Quiz

Data Governance

Section Introduction
Understanding Data Governance
Data Governance Principles
Data Quality and Integrity
Data Governance Frameworks
Trust in Data
Data Governance Tools
Section Conclusion
Data Governance Quiz

Data Products Lifecycle

Section Introduction
Discovery & Ideation
Prioritisation
MVPs and Prototypes
SLAs & Data Contracts
Development, Testing and Deployment
Monitoring , evaluating, optimising and retiring
Challenges of the data product lifecycle
Section Conclusion
Data Products Lifecycle Quiz

Key skills for Data Product Managers

Section Introduction
Technical Skills
Business acumen and Domain knowledge
Problem solving and analytical skills
Leadership skills
Agile methodologies
Stakeholder identification and mapping
Mastering prioritisation
Creating data product roadmaps
Communication skills
Managing expectations
Collaborating with the data team
Collaborating with cross-functional teams
Section Conclusion
Key Skills for data product managers quiz

Your Journey Starts Here!

Section Intro
Finding the right role
Preparing for an interview.
Your first 90 days in your new role
Lifelong learning

Course Conclusion

Conclusion