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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 32 reviews

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

  • Jason Kloth
    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
    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
  • Profile image for Daihne Cortes
    Daihne Cortes
    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.

  • Profile image for Ilio Jimenez
    Ilio Jimenez
    The course's content is very intuitive, however, there what would make the course a lot better is a combination of (even short ones) practical demos, specially for a Data Science course, there are concepts that are not as easy to understand in theoretical terms as if they were being explaining with practical concrete examples and to showcase/mention the most common tools being used in the market right now.
  • Profile image for Ritesh Daundkar
    Ritesh Daundkar
    Excellent Course if you want to learn basics of Agile and Devops In Project Management.

    This course provides comprehensive learning of key concepts related to Agile, Lean and Devops Technology along with great real life examples given by the Tutor Mr. Johnson.

    I would highly recommend to this course to students and Project Managers looking to gain a new perspective in Project Management.
  • 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
    It's very useful course full with a tools, historic data and cases. Everything is clear and very well presented. Speaker did a great Job, despite on that avg duration of each lesson is around 20 min it was not boring to be there.
    I'm satisfied with a course structure also. For me personally the course covered all necessary fields. I will proceed with other courses made by UMS. Thanks!
  • Profile image for Jorge Ubero
    Jorge Ubero
    Although a bit too tricky questions in tests.. (wich made me sweat a lot to respond!) it's BRILLIANT how professor aligns antifragility concepts to (Agile) product/project management. You can also learn some insightful applied ideas, based in real cases and his experience (skin in the game fact); I'd say is a must and hope to fully deploy on my projects, present and future! Gracias
  • Profile image for Ellissa Verseput
    Ellissa Verseput
    So far, this course is the best in the product management certificate program on Edx. John is a great instructor, a good story teller and very clear. The course covers a lot of relevant topics in a theoretical fashion. I would recommend the course if you are looking for a good overview, incl. references to literature, but don't expect to go hands-on with the materials during the course.
  • 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. 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
    The course is very thorough, there are notes at the end of each video lesson which makes it easier to revise the contents. There is generous use of real life examples which makes the course interesting despite being so content heavy.
  • Anonymous
    I can definitely recommend this course. I specifically enjoyed the link between Product and Project Management and the deep understanding I was able to gain of implementing Agile Engineering towards own products and processes.
  • Anonymous
    Great course, I really learned a lot of skills via this course which I can apply in my current role, and it helped me gain a lot of insight into tasks I was already performing. Good to understand the underlying principles
  • 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
    I really like the course & learned a lot from the lectures & notes given. I wish, there would be a graded assignment/ case-study to get a practical feel of applying the concepts learned.

    Thank you

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