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University System of Maryland

Data Science and Agile Systems for Product Management

University System of Maryland and University of Maryland, College Park via edX

Overview

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Modern systems today must be designed for agility in order to outpace the competition. Concepts like Agile, DevOps, and Data Science were once considered only for the technology-based companies. Today that means every company. Because there is no greater currency than timely information for optimizing operations and meeting the needs of customers.

Modern product management requires that every development and operations value stream is identified and continuously improved. This means using Lean and DevOps principles to streamline handoffs and information flows across teams. It means reorienting towards self-service and automation wherever possible. And to avoid incrementalism, it means a robust Agile development process to keep innovations important and aggressive enough to make noticeable improvements in value delivery.

Agile systems in a DevOps environment requires that products are built completely differently from a traditional designs. Modularity, open set architectures, and flexible data management paradigms are a starting point. The evolutionary nature of the product with so much change enables functionality, design, and technology to drive and influence each other simultaneously. And beneath it all is a data collection and feedback loop essential for anticipating and reacting to business needs both for operations and marketing.

Data science and analytics are the lifeblood of any product organization, and enable product managers to tackle risks early. Luckily, new technologies allow us to collect and integrate data without extreme upfront constraints and onerous controls. This means all data is fair game, and when tagged and stored properly, can be made available at nearly any scale for preparation, visualization, analysis, and modeling.

We’ll teach you the paradigms, processes, and introduce some key technologies that make the data-driven product organization the optimal competitor in the market.

Syllabus

Module 1: Agile Systems Engineering

Module 2: DevOps Principles for Business Agility

Module 3: Data Science for Product Risk Management

Module 4: Implementing Data-Driven Controls using Technology and Teams

Taught by

John Johnson

Reviews

4.7 rating, based on 103 Class Central reviews

4.8 rating at edX based on 8 ratings

Start your review of Data Science and Agile Systems for Product Management

  • This is my third course from University of MAryland on edX. First two were:
    1) Product Management Fundamentals
    2) Applied Scrum for Agile Project Management

    I found these course and especially this one very excellent course with helpful content and would recommend to anyone interested in learning more about product management.
  • Anonymous
    Great course and really helpful in unpacking the concepts of Agile systems engineering and data sciences.
  • Anonymous
    You will learn a lot! The material is all together for you to review. You can download the slides, go through the knowledge checks, and cross reference with industry books. Also its easy to switch between computer and phone interfaces. I am not p…
  • Anonymous
    "Data Science and Agile Systems for Product Management" is profoundly insightful, seamlessly integrating Agile principles with data-driven decision-making. It adeptly bridges theory with practical application through real-world examples and hands-on exercises, emphasizing iterative development and cross-functional collaboration. The course's clarity and depth of instruction empower professionals to navigate complex product management challenges with confidence, fostering a strategic approach to leveraging data for innovation. It's an essential resource for anyone aiming to excel at the intersection of Agile methodologies and data science in modern business environments.
  • Anonymous
    "Data Science and Agile Systems for Product Management" expertly combines theoretical foundations with practical applications, making it accessible for both newcomers and seasoned professionals in the field.
    Overall, this course has significantly enriched my toolkit as a product professional, enabling me to leverage data science to drive better outcomes for my team and our products. I highly recommend it to anyone seeking to enhance their skills in product management with a strong emphasis on data science and agile practices.
  • Anonymous
    I would say it is the best ever online course to delve into Product Management as a start point, as well as to see lacunas in self-proficiency level, and to organize and structure existing knowledge. It encapsulates and explains all the necessary concepts, approaches, and techniques supported with cases and examples. Moreover, it motivates delving deeper and gives the directions for further studies.
  • Anonymous
    A good course for both experienced and new learners. The instructor presented all information with good clarity and examples to make it relevant to the type of work that is involved in product management function. All the references are additional source of gaining more in-depth understanding in various aspects of PM role.
  • Anonymous
    ata Science and Agile Systems for Product Management" is a comprehensive course that adeptly merges two crucial aspects of modern product development: data-driven decision-making and agile methodologies. This course provides an insightful exploratio…
  • Anonymous
    Great course. Although if you’re really a beginner with no experience in it the it operations field, concepts can be hard to understand. Oversll, great content and theories. Just lacking more application and real scenario examples
  • Anonymous
    Great course. Compelling content that is thoughtfully laid out with plenty of real-life example and frameworks. This can be applied to work in product management roles right away. Fantastic notes and source material provided.
  • Anonymous
    This course was fully focused about the project managment and how we can be agile under different circunstances, applying diferent techniques about team work and the use of the technology.
  • Profile image for Chibuzo Obikwelu
    Chibuzo Obikwelu
    I found the course to be very helpful and relevant to my professional career. The techniques and knowledge areas covered has been delivered pretty well, even though it is a huge syllabus.
  • Anonymous
    This course has been fantastic! I’ve gained so much knowledge and practical skills that I’ll carry forward
  • Anonymous
    This is the most rigorous and challenging of the five courses for the certificate. I learned a lot from it.
  • Anonymous
    From the outset, the course impressed me with its well-structured modules and a curriculum that was thoughtfully designed to cover the key aspects of both data science and agile methodologies. The instructors demonstrated a deep understanding of the…
  • Profile image for MULEMA FAISAL
    MULEMA FAISAL
    These are the best in online courses that i have ever seen everything is detailed and free , everyone out there please come and join us here at Harvard University you will achieve everything , stop crying of tuition yet you can complete your dream course here thanks alot everyone and whoever came up with this idea thanks.
  • Sven Ludwig
    Good overview how Product Innovation and Customer Innovation are facilitated via Agile and Lean. The course also links all of this to Kanban, SCRUM, DevOps, even XP, while it also gives you an idea how all of this can be embedded into large multi-pr…
  • Anonymous
    I completed the Data Science and Agile Systems Engineering course on EDX from UMD and it was excellent. Complex and useful knowledge delivered in bite-size pieces, with great examples and and expressive lecturer made it a fascinating and digestible experience. Worthwhile and enjoyable!
    Data science is an intimidating topic but it was broken down so well that I never felt overwhelmed, and now I understand the value and processes of data analytics.
  • Anonymous
    Very good course for experienced subject matter experts or professionals to start exploring the product management field as well as many other concepts, like data science, Agile, DevOps and many others.

    References are great and opens the doors for deeper and/or wider knowledge and skill development.

    Documentation is great, comprehensive and acting as a reference for the major course concepts by itself.
  • Profile image for Omar Al-Wakil
    Omar Al-Wakil
    Very good course for experienced subject matter experts or professionals to start exploring the product management field as well as many other concepts, like data science, Agile, DevOps and many others.

    References are great and opens the doors for deeper and/or wider knowledge and skill development.

    Documentation is great, comprehensive and acting as a reference for the major course concepts by itself.

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