Fundamentals of Data Product Management and Data Strategy
Fundamentals of Data Product Management and Data Strategy, available at $79.99, has an average rating of 4.17, with 68 lectures, 6 quizzes, based on 284 reviews, and has 13786 subscribers.
You will learn about 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 This course is ideal for individuals who are Young professionals aiming to enter the world of data product management or Product managers aiming to switch to data products or Data professionals aiming to become data product managers or Business professionals aiming to understand more about the importance and benefits of data products It is particularly useful for Young professionals aiming to enter the world of data product management or Product managers aiming to switch to data products or Data professionals aiming to become data product managers or Business professionals aiming to understand more about the importance and benefits of data products.
Enroll now: Fundamentals of Data Product Management and Data Strategy
Summary
Title: Fundamentals of Data Product Management and Data Strategy
Price: $79.99
Average Rating: 4.17
Number of Lectures: 68
Number of Quizzes: 6
Number of Published Lectures: 68
Number of Published Quizzes: 6
Number of Curriculum Items: 74
Number of Published Curriculum Objects: 74
Original Price: £119.99
Quality Status: approved
Status: Live
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
Who Should Attend
- Young professionals aiming to enter the world of data product management
- Product managers aiming to switch to data products
- Data professionals aiming to become data product managers
- Business professionals aiming to understand more about the importance and benefits of data products
Target Audiences
- Young professionals aiming to enter the world of data product management
- Product managers aiming to switch to data products
- Data professionals aiming to become data product managers
- Business professionals aiming to understand more about the importance and benefits of data products
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.
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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: The Rise of Data Products
Chapter 2: Data Fundamentals
Lecture 1: Data Fundamentals Section Intro
Lecture 2: Understanding Data Types and Formats
Lecture 3: Understanding KPIs
Lecture 4: Experimentation and testing
Lecture 5: Data Informed versus Data Driven Approaches
Lecture 6: Section Conclusion
Chapter 3: The Types of Data Products
Lecture 1: Section Intro
Lecture 2: Data as a Product
Lecture 3: Data Platform Products
Lecture 4: Data Products
Lecture 5: Analytical Data Products
Lecture 6: Operational Data Products
Lecture 7: ML / AI Products
Lecture 8: Section Conclusion
Chapter 4: Data Strategy
Lecture 1: Section Intro
Lecture 2: Aligning data strategy with business objectives
Lecture 3: Data assets and sources
Lecture 4: Data pipelines
Lecture 5: Events and Normalisation
Lecture 6: Database types and features
Lecture 7: Data processing
Lecture 8: Data Warehouses and Lakes
Lecture 9: Data Modelling
Lecture 10: Data Mesh and Data Platform
Lecture 11: Data Visualisation
Lecture 12: Cloud versus On Premise options
Lecture 13: More Data Strategy & Infrastructure Decisions
Lecture 14: Building a data culture
Lecture 15: Section Conclusion
Chapter 5: Data Governance
Lecture 1: Section Introduction
Lecture 2: Understanding Data Governance
Lecture 3: Data Governance Principles
Lecture 4: Data Quality and Integrity
Lecture 5: Data Governance Frameworks
Lecture 6: Trust in Data
Lecture 7: Data Governance Tools
Lecture 8: Section Conclusion
Chapter 6: Data Products Lifecycle
Lecture 1: Section Introduction
Lecture 2: Discovery & Ideation
Lecture 3: Prioritisation
Lecture 4: MVPs and Prototypes
Lecture 5: SLAs & Data Contracts
Lecture 6: Development, Testing and Deployment
Lecture 7: Monitoring , evaluating, optimising and retiring
Lecture 8: Challenges of the data product lifecycle
Lecture 9: Section Conclusion
Chapter 7: Key skills for Data Product Managers
Lecture 1: Section Introduction
Lecture 2: Technical Skills
Lecture 3: Business acumen and Domain knowledge
Lecture 4: Problem solving and analytical skills
Lecture 5: Leadership skills
Lecture 6: Agile methodologies
Lecture 7: Stakeholder identification and mapping
Lecture 8: Mastering prioritisation
Lecture 9: Creating data product roadmaps
Lecture 10: Communication skills
Lecture 11: Managing expectations
Lecture 12: Collaborating with the data team
Lecture 13: Collaborating with cross-functional teams
Lecture 14: Section Conclusion
Chapter 8: Your Journey Starts Here!
Lecture 1: Section Intro
Lecture 2: Finding the right role
Lecture 3: Preparing for an interview.
Lecture 4: Your first 90 days in your new role
Lecture 5: Lifelong learning
Chapter 9: Course Conclusion
Lecture 1: Conclusion
Instructors
-
Panos Laz
Senior Data Product Manager @ The Economist Group
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 8 votes
- 3 stars: 27 votes
- 4 stars: 71 votes
- 5 stars: 176 votes
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