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Fundamentals of Data Product Management and Data Strategy

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Panos Laz

7:14:32

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  • 1. Introduction.mp4
    03:58
  • 2. The Rise of Data Products.mp4
    09:37
  • 1. Data Fundamentals Section Intro.mp4
    01:19
  • 2. Understanding Data Types and Formats.mp4
    07:56
  • 3. Understanding KPIs.mp4
    09:03
  • 4. Experimentation and testing.mp4
    12:21
  • 5. Data Informed versus Data Driven Approaches.mp4
    04:41
  • 6. Section Conclusion.mp4
    01:05
  • 7. Data Fundamentals Quiz.html
  • 1. Section Intro.mp4
    00:56
  • 2. Data as a Product.mp4
    08:36
  • 3. Data Platform Products.mp4
    08:37
  • 4. Data Products.mp4
    05:56
  • 5. Analytical Data Products.mp4
    05:06
  • 6. Operational Data Products.mp4
    06:01
  • 7. ML AI Products.mp4
    20:32
  • 8. Section Conclusion.mp4
    03:54
  • 9. Data Product Types Quiz.html
  • 1. Section Intro.mp4
    01:37
  • 2. Aligning data strategy with business objectives.mp4
    04:10
  • 3. Data assets and sources.mp4
    07:58
  • 4. Data pipelines.mp4
    06:43
  • 5. Events and Normalisation.mp4
    07:37
  • 6. Database types and features.mp4
    11:40
  • 7. Data processing.mp4
    07:25
  • 8. Data Warehouses and Lakes.mp4
    10:18
  • 9. Data Modelling.mp4
    07:56
  • 10. Data Mesh and Data Platform.mp4
    04:22
  • 11. Data Visualisation.mp4
    10:32
  • 12. Cloud versus On Premise options.mp4
    06:48
  • 13. More Data Strategy And Infrastructure Decisions.mp4
    12:34
  • 14. Building a data culture.mp4
    09:49
  • 15. Section Conclusion.mp4
    01:51
  • 16. Data Strategy Quiz.html
  • 1. Section Introduction.mp4
    01:21
  • 2. Understanding Data Governance.mp4
    03:49
  • 3. Data Governance Principles.mp4
    04:08
  • 4. Data Quality and Integrity.mp4
    04:28
  • 5. Data Governance Frameworks.mp4
    06:49
  • 6. Trust in Data.mp4
    04:37
  • 7. Data Governance Tools.mp4
    05:52
  • 8. Section Conclusion.mp4
    01:11
  • 9. Data Governance Quiz.html
  • 1. Section Introduction.mp4
    02:07
  • 2. Discovery And Ideation.mp4
    08:16
  • 3. Prioritisation.mp4
    17:13
  • 4. MVPs and Prototypes.mp4
    10:24
  • 5. SLAs And Data Contracts.mp4
    07:15
  • 6. Development, Testing and Deployment.mp4
    08:24
  • 7. Monitoring , evaluating, optimising and retiring.mp4
    06:31
  • 8. Challenges of the data product lifecycle.mp4
    07:55
  • 9. Section Conclusion.mp4
    02:42
  • 10. Data Products Lifecycle Quiz.html
  • 1. Section Introduction.mp4
    01:52
  • 2. Technical Skills.mp4
    08:03
  • 3. Business acumen and Domain knowledge.mp4
    05:36
  • 4. Problem solving and analytical skills.mp4
    03:30
  • 5. Leadership skills.mp4
    04:16
  • 6. Agile methodologies.mp4
    08:27
  • 7. Stakeholder identification and mapping.mp4
    10:50
  • 8. Mastering prioritisation.mp4
    04:46
  • 9. Creating data product roadmaps.mp4
    08:58
  • 10. Communication skills.mp4
    07:34
  • 11. Managing expectations.mp4
    03:38
  • 12. Collaborating with the data team.mp4
    07:57
  • 13. Collaborating with cross-functional teams.mp4
    06:08
  • 14. Section Conclusion.mp4
    02:31
  • 15. Key Skills for data product managers quiz.html
  • 1. Section Intro.mp4
    00:47
  • 2. Finding the right role.mp4
    10:23
  • 3. Preparing for an interview..mp4
    04:06
  • 4. Your first 90 days in your new role.mp4
    05:18
  • 5. Lifelong learning.mp4
    02:44
  • 1. Conclusion.mp4
    03:08
  • Description


    Skyrocket your career by learning how to craft effective data strategies and create inspiring data products.

    What You'll 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 is this for?


  • 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
  • What You Need to Know?


  • No product management, programming or data analysis experience is required
  • More details


    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.

    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.

    Who this course is for:

    • 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

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    Hi , I m PanosI studied business and have an MSc in Marketing and an MBA from Nottingham Trent business school. I have worked in various roles in advertising, market research, consulting, video streaming and content publishing.I have been creating data products for the best part of the last decade, either it be BI dashboards, data platforms, machine learning models or API modules. Being a lifelong learner, I was always up to new challenges, knowing that I will eventually find resources and courses online that will help me prepare and excel. When I first became a data product manager however, there was hardly an article, let alone a course, help me navigate through what to expect. Countless data products later, I still struggle to find enough resources online to further grow my career. I decided to package my experience in the format of a course and shed some light on what the concepts of data product management and data strategy mean. I want to help aspiring professionals to enter the world of data products. I hope you like my course!
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 68
    • duration 7:14:32
    • Release Date 2023/08/01