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Online Course

Data Science and Agile Systems Engineering

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

4.9 rating, based on 8 reviews

Start your review of Data Science and Agile Systems Engineering

  • 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!
  • 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.
  • 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!
  • 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
    A lot of useful information has been stuffed into this course. This helps in understanding what are agile systems and the uses of data science in business.
  • 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.

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