UMD: Data Science and Agile Systems for Product Management

UMD: Data Science and Agile Systems for Product Management

by The University of Maryland, College Park

Agile Systems Engineering and Data-Driven Product Management

Intermediate-level course

Course Description

Welcome to our cutting-edge course on "Agile Systems Engineering and Data-Driven Product Management"! This intermediate-level course is designed to equip you with the essential skills and knowledge needed to thrive in today's fast-paced, technology-driven business environment. In this comprehensive program, you'll dive deep into the world of Agile methodologies, DevOps principles, and Data Science techniques that are revolutionizing product management across all industries.

What students will learn from the course:

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

Pre-requisites or skills necessary to complete the course:

This course is designed for intermediate-level learners, and while there are no specific prerequisites listed, a basic understanding of product management concepts and familiarity with business operations would be beneficial.

What the course will cover:

  • Agile Systems Engineering
  • DevOps Principles for Business Agility
  • Data Science for Product Risk Management
  • Lean and DevOps principles for streamlining operations
  • Self-service and automation strategies
  • Modular and open set architectures
  • Flexible data management paradigms
  • Data collection and feedback loops for business needs
  • Data science and analytics in product organizations
  • Paradigms and processes for data-driven product management

Who this course is for:

  • Product managers looking to enhance their skills in Agile and DevOps methodologies
  • Business professionals seeking to understand modern product development approaches
  • Aspiring data scientists interested in product management applications
  • Entrepreneurs and startup founders aiming to build agile, data-driven organizations
  • IT professionals looking to transition into product management roles

How learners can use these skills in the real world:

  1. Implement Agile methodologies to increase product development speed and flexibility
  2. Use DevOps principles to improve collaboration between development and operations teams
  3. Apply data science techniques to make informed product decisions and manage risks
  4. Design modular, scalable product architectures that can evolve with market demands
  5. Create effective data collection and analysis pipelines to drive continuous improvement
  6. Enhance customer experience through data-driven insights and usability analytics
  7. Develop a competitive edge by building agile, responsive product organizations

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

By enrolling in this course, you'll gain the tools and knowledge needed to lead product development in the modern, data-driven business landscape. Don't miss this opportunity to elevate your career and become a cutting-edge product manager!

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