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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

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

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Reviews

4.7 rating, based on 37 reviews

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

  • Jason Kloth
    1
    This is one of the most rigorous and valuable online courses that I have experienced thus far. The content was laid out in a very linear fashion, each lesson progressed either chronologically (e.g. providing context for different eras of product development) or scaffolding concepts. The instructor did a nice job of providing relevant examples to undergird the concepts. He also went above and beyond in providing links to the references and additional resources. The multiple choice questions required that the learner pay attention throughout and revisit the content. Overall, the course was exceptional. I will be a better leader for having participated.
  • Anonymous
    I really enjoyed this introduction to data science and DevOps and plan to continue to learn more about these subjects!

    At this point I plan to complete the fifth course in the UMD program on Product management, and recommend both that program was well as their Agile program (both available on edX).

    A someone with a PMP, it was a great way to maintain my certification (PDU's!) but was also a change to learn new techniques I can apply in our organization.
  • Profile image for Babawale Oluwaseyi Ope
    Babawale Oluwaseyi Ope
    2
    This course has really exposed me to the rudiments of product management and innovations associated with creating a genuine customer value through feedbacks. Undergoing this course is the most resourceful thing I have done in the year 2020. I hereby recommend this course for team leaders and those professionals who are hungry for achieving resulud
  • Anonymous
    Very strong course. The content all ladders in a very easy to understand manner, and the quizzes and finals require actual studying and need for note-taking. Rigorous and fair I found this course to be very helpful in understanding modern product management concepts, as well as overall business concepts, and will certainly be able to better contribute because of it's design and content.
  • Anonymous
    Best course in Product Management Professional Certificate path so far. Course structure is great and notes to each video are really useful, explanations are very informative and clear. The only downside is lack of practical examples of data analytics techniques covered in one of the course modules - not all concepts are easy to understand from the get-go
  • Anonymous
    This course blew my mind. I thought I had a good handle on all things related to product management, but this course provided an incredible high-level and in-depth overview of the strategies, theories, and nuances behind excellent product leadership. I look forward to re-reading my 100+ pages of notes!
  • Anonymous
    Great course with very detailed information and diagram to help visualized the intangible subject to tangible ones. Some part are a bit too much in details and was challenging for newbies to understand. Overall, I learned a lot from this course. Thank you and bravo to the teacher and teams.
  • Anonymous
    I really enjoyed the course, as it was great for all levels including beginners and those who are still in school and those who are working professionals. I think it was highly detailed and had great supporting materials. The quizzes were a good knowledge check as well as the final exam.
  • Anonymous
    The course offers an introduction to project management, Lean Startups, Agile, DevOps, Data Science. Introduces concepts such as Fly Wheel and conveys the importance of testing and feedback loops as an ongoing process even within individual sprints.
  • Anonymous
    Great course. The information is presented in a very concise and structured form with references for more details if needed. The course includes a lot of material and is very practically oriented. I enjoyed this course and can recommend it
  • Anonymous
    A rigorous course with steep learning curve. Gives a practical overview of several important management frameworks such as Agile, DevOps. Business Agility Framework, OKRs, Data pipeline and product control.
  • Anonymous
    As a new Product Manager I found this course extremely helpful and insightful. I would definitely recommend for beginners and more experienced product managers alike!
  • Anonymous
    Excellent course, I've enjoyed the contents, I think they´ll be very useful for my current job and in general for everyone in this role of product manager.
  • Anonymous
    Very information-heavy (which is a good thing), gives a very good birds-eye view on the more "hard" skills side of product management and project management.
  • Anonymous
    It´s was a very helpful course to begin with product management agility!. I´m new in product managment and it help me a lot. I recommend it!
  • Anonymous
    The content is theoretical and relevant however, it does not provide a practical application which I believe is the best way of learning.
  • Yuriy Chapran
    Great course with a lot of useful information and tools. Just awesome. Worth the spent money and time.
  • Profile image for Daihne Cortes
    Daihne Cortes
    1
    I highly recommend this course!!! Not only because it is part of the Product Management Program, I'm taking but it gives you a deeper understanding how the market works and how important Agile Systems is for businesses.
  • Anonymous
    I really enjoyed this course, I learned many important tools for managing projects

    Great course!
  • Anonymous
    Warning: This isn't a course that you can just click through and know the answers to. It's much more than that.

    It truly dives into the weeds of project management and truly gives me an appreciation of data science and agile functions as a whole.

    Not being from an engineering background, this course was definitely the most difficult of the Product Management program for me thus far, but I've definitely taken some bits of information that I can apply in my daily work life.

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