Data Science and Agile Systems for Product Management

Deliver faster, higher quality, and fault-tolerant products regardless of industry using the latest in Agile, DevOps, and Data Science.

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What You Will Learn

  • Designing and modeling for fast feedback and idea sharing
  • System optimization with open architectures
  • Validating functions and verifying performance
  • Leveraging and enabling the system designs, platforms, and ecosystems
  • Lean Startup and Product Innovation Analytics
  • Developing the data collection and preparation pipeline for products and services
  • Analyzing the performance and testing hypotheses for usability, fast-feedback, and growth
  • Customer experience (CX) validation and enhancement leveraging usability analytics

About This Course

Skip About this course
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.

At A Glance

  • Expert Instruction Build Skills
  • Self-Paced Progress at your own speed
  • 4 Weeks 2-3 hours per week
  • Free or $199.00 For the full program experience Discounted to $179.10 when you purchase the full Product Management Professional Certificate Program.
  • 10 Professional Development Units (PDUs) Earn PDUs toward your Project Management Institute (PMI) Project Mangement Professional (PMP) certification

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Your Instructor

John Johnson

I'm passionate about what works as both scientific principles and best practices in project and product management. Teaching is leading leaders, so my first goal is to engage with compelling reasons to change their thinking. Our shared goal is to empower their teams to delight customers while also serving the organization and society that supports them.

What Our Students Are Saying

  • 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. Jason Kloth
  • 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 Babawale Oluwas
  • 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. Daihne Cortes
  • Excellent Course if you want to learn the 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. Ritesh Daundkar
  • 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 as well as their Agile program (both available on edX). As 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. Anonymous

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Syllabus

Week 1
Module 1: Agile Systems Engineering
Week 2
Module 2: DevOps Principles for Business Agility
Week 3
Module 3: Data Science for Product Risk Management
Week 4
Module 4: Implementing Data-Driven Controls using Technology and Teams

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