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Updated in [June 30th, 2023]
This course provides an overview of the concepts and technologies necessary to build and manage agile systems in a DevOps environment. Participants will learn how to use Lean and Agile principles to streamline handoffs and information flows across teams, and how to use data science and analytics to anticipate and react to business needs. Topics covered include modularity, open set architectures, flexible data management paradigms, data collection and feedback loops, and data preparation, visualization, analysis, and modeling.
[Applications]
This course provides participants with the knowledge and skills to apply data science and agile systems to product management. Participants will learn how to use Lean and DevOps principles to streamline handoffs and information flows across teams, as well as how to use modularity, open set architectures, and flexible data management paradigms. Additionally, participants will learn how to use data collection and feedback loops to anticipate and react to business needs. Finally, participants will be introduced to key technologies that enable them to collect and integrate data without extreme upfront constraints and onerous controls.
[Career Path]
The recommended career path for learners of this course is Product Manager. Product Managers are responsible for the development and management of products from conception to launch. They are responsible for understanding customer needs, developing product strategies, and managing the product life cycle. Product Managers must have a deep understanding of the market, customer needs, and the competitive landscape. They must also have strong communication and organizational skills to effectively manage the product development process.
The development trend for Product Managers is to become more data-driven. Product Managers must be able to use data to inform their decisions and strategies. They must be able to analyze customer data, market trends, and competitive intelligence to develop effective product strategies. They must also be able to use data to measure the success of their products and make adjustments as needed. Product Managers must also be able to use data to identify opportunities for improvement and innovation.
[Education Path]
The recommended educational path for learners interested in Data Science and Agile Systems for Product Management is a Bachelor's degree in Computer Science or a related field. This degree will provide learners with the foundational knowledge and skills needed to understand and apply the concepts of Agile, DevOps, and Data Science. Learners will gain an understanding of the principles of software engineering, computer architecture, and software development. They will also learn about the principles of data management, data analysis, and data visualization. Additionally, learners will gain an understanding of the principles of Lean and DevOps, and how to apply them to product management. Finally, learners will gain an understanding of the principles of data science and analytics, and how to use them to optimize product development and operations.
The development trend for this educational path is to focus on the application of data science and analytics to product management. This includes the use of machine learning and artificial intelligence to automate product development and operations. Additionally, learners should focus on the use of cloud computing and distributed systems to enable data-driven product development and operations. Finally, learners should focus on the use of open source technologies to enable rapid prototyping and development of data-driven products.
