Data Science & Agile Systems for Product Teams
Learn to deliver high-quality products using Agile, DevOps, and Data Science methodologies. Master modern product management with data-driven decision making.
Learn to deliver high-quality products using Agile, DevOps, and Data Science methodologies. Master modern product management with data-driven decision making.
This comprehensive course equips product managers with essential skills in Agile systems, DevOps, and Data Science. Learn to design modular, flexible products using modern development approaches and data-driven decision making. The curriculum covers designing for fast feedback, implementing open architectures, developing data pipelines, and analyzing performance metrics. Students will master Lean Startup principles, product innovation analytics, and customer experience validation techniques. The course emphasizes practical applications of Agile methodologies, DevOps principles, and data science tools for optimizing product development and operations. By the end, participants will be able to lead data-driven product organizations and deliver faster, higher-quality products that meet customer needs.
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-1746716331194.webp&w=3840&q=75)
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What you'll learn
Master system design principles for rapid feedback and collaboration
Implement open architecture systems for optimal scalability
Develop robust data collection and analysis pipelines
Apply Lean Startup methodologies for product innovation
Leverage data science for effective risk management
Optimize customer experience using analytics-driven insights
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
The course provides a comprehensive understanding of modern product management principles, combining Agile methodologies, DevOps practices, and data science techniques. Students learn to design and implement data-driven product strategies, optimize development processes, and leverage analytics for better decision-making. The curriculum emphasizes practical applications through real-world scenarios, covering everything from system architecture to customer experience validation. Key focus areas include implementing feedback loops, developing data pipelines, and utilizing analytics for product innovation and risk management.
Agile Systems Engineering
Module 1
DevOps Principles for Business Agility
Module 2
Data Science for Product Risk Management
Module 3
Implementing Data-Driven Controls using Technology and Teams
Module 4
Fee Structure
Instructor
-1746716331194.webp&w=256&q=75)
13 Courses
Leading Expert in Project Management Education and Agile Methodologies
John Johnson serves as Professional Programs Manager at the University of Maryland's Project Management Center for Excellence, where he combines expertise in agile methodologies with extensive program management experience. After building his career as a CTO and Senior Agile Project Manager at organizations including IBM and Booz Allen Hamilton, he has established himself as a key innovator in project management education. His work spans multiple areas including leading the center's three pillars: Academic Excellence, Outreach and Professional Development, and Research, while managing one of the largest project management MOOC programs with over 450,000 enrolled learners worldwide
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.