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Product Management: Data Science and Agile Systems
Master modern product management with Agile, DevOps, and data science. Learn to build flexible systems and use data for risk management.
Course Cost
₹ 2,699
Intermediate
Skill Level
10 Hours
Self-paced lessons
This course focuses on modern product management techniques incorporating Agile methodologies, DevOps principles, and data science. Students learn to design agile systems that outpace competition, using Lean and DevOps principles to streamline value streams. The curriculum covers the evolution of product management from traditional methods to current business agility practices. It emphasizes the importance of modular, open-set architectures and flexible data management paradigms. The course delves into data science and analytics for risk management, teaching students how to collect, integrate, and analyze data at scale. Participants learn to apply these concepts in product strategy, team alignment, and backlog optimization.
English
What you'll learn
Understand the evolution and principles of Agile systems engineering
Apply DevOps principles to enhance business agility and product innovation
Utilize data science techniques for effective product risk management
Implement data-driven controls for technology and team management
Develop strategies for aligning product teams and optimizing product backlogs
Understand and apply lean startup methodologies in product development
Learn to design and manage open-set architectures for product flexibility
Master techniques for data preparation and analytics in product management
Skills you'll gain
This course includes:
6.7 Hours PreRecorded video
26 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This course provides a comprehensive exploration of modern product management, focusing on the integration of Agile methodologies, DevOps principles, and data science. It is structured into five modules, each addressing crucial aspects of contemporary product management. The first module introduces Agile systems engineering, covering the evolution of product management practices from the 1970s to the present day. The second module delves into DevOps principles for business agility, exploring lean startup methodologies and system optimization. The third module focuses on data science for product risk management, covering the data science pipeline, prototyping, and various data analytics techniques. The fourth module addresses data-driven controls, discussing OKRs, product strategies, and team alignment processes. The final module serves as a comprehensive assessment of the learned concepts. Throughout the course, students engage with real-world examples and practical exercises to develop their skills in managing modern, data-driven, and agile product development processes.
Week 1: Agile Systems Engineering
Module 1 · 3 Hours to complete
Week 2: DevOps Principles for Business Agility
Module 2 · 2 Hours to complete
Week 3: Data Science for Product Risk Management
Module 3 · 2 Hours to complete
Week 4: Data-Driven Controls with Technology and Teams
Module 4 · 2 Hours to complete
Final Exam
Module 5 · 53 Minutes to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.9
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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.