Executive Development Programme in Data Product Strategy for Scale

Name: Executive Development Programme in Data Product Strategy for Scale
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The Executive Development Programme in Data Product Strategy for Scale is a certificate course designed to empower professionals with the necessary skills to excel in data product strategy. In today's data-driven world, there is a growing industry demand for experts who can leverage data to create innovative products and drive business growth.

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AboutThisCourse

This course is essential for career advancement in various industries, including finance, healthcare, marketing, and technology. It equips learners with the knowledge and practical skills required to lead data product strategy initiatives, enabling them to create data products that deliver value to their organizations and customers. Through a combination of lectures, case studies, and hands-on exercises, learners will gain a deep understanding of the end-to-end data product strategy process. They will learn how to identify opportunities, validate ideas, build and launch data products, and scale them for maximum impact. By completing this course, learners will be well-positioned to take on leadership roles and drive innovation in their organizations.

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CourseDetails

• Data Product Strategy Development
• Data-Driven Decision Making
• Lean Product Management & Data
• Data Product Lifecycle Management
• Scaling Data Products with AI & Machine Learning
• Data Product Monetization Strategies
• Data Privacy, Ethics, & Compliance in Data Products
• Design Thinking for Data Products
• Building & Leading High-Performing Data Product Teams

CareerPath

In the UK, data-oriented roles are increasingly in demand, with numerous organisations recognising their potential to drive informed decision-making and boost business growth. Our Executive Development Programme in Data Product Strategy for Scale prepares aspiring professionals for high-impact careers in this competitive landscape. *Data Scientist*: As a data scientist, you'll leverage advanced statistical techniques and machine learning algorithms to extract insights from large datasets. This role requires strong programming skills, proficiency in statistical tools, and a deep understanding of data manipulation techniques. Demand for data scientists in the UK remains robust, with an average salary range of £40,000 - £75,000. *Data Analyst*: Data analysts collect, process, and interpret data to inform business decisions. They utilise statistical methods to identify trends, patterns, and correlations, presenting findings in accessible formats for non-technical stakeholders. The UK market offers abundant opportunities for data analysts, with an average salary range of £25,000 - £45,000. *Data Engineer*: Data engineers build, maintain, and manage data systems, ensuring that data is accessible, secure, and well-structured. They focus on the design and development of data pipelines, working closely with data scientists and analysts to meet data processing needs. UK data engineer salaries typically range from £40,000 - £80,000. *Data Architect*: Data architects design and implement enterprise data management solutions, defining data governance policies and data security strategies. They guide data engineering and analytics teams, ensuring alignment with broader business objectives. In the UK, data architects can expect salaries between £60,000 - £110,000. *BI Analyst*: Business intelligence (BI) analysts translate data into actionable insights, creating reports and dashboards to inform strategic planning. They collaborate with business leaders to understand objectives and develop tailored BI solutions. UK BI

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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EXECUTIVE DEVELOPMENT PROGRAMME IN DATA PRODUCT STRATEGY FOR SCALE

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London School of International Business (LSIB)

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05 May 2025

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