Executive Development Programme in BDD: Data-Driven Identification

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The Executive Development Programme in BDD: Data-Driven Identification is a certificate course designed to empower professionals with the essential skills needed to thrive in today's data-driven world. This program focuses on Behavior Driven Development (BDD), a collaborative approach to software development that bridges the gap between technical and non-technical team members.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

In an era where data is the new oil, this course is increasingly important as it teaches learners how to leverage data to make informed decisions and drive business success. The course is in high demand across various industries, including IT, finance, and healthcare, where data-driven decision-making is critical. By the end of the course, learners will have acquired essential skills in BDD, data analysis, and strategic decision-making. They will be able to lead data-driven projects, communicate effectively with technical and non-technical stakeholders, and drive innovation in their respective fields. This program is a valuable investment for any professional seeking to advance their career in the data-driven economy.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to BDD (Behavior Driven Development): Understanding the basics, principles, and benefits of BDD.
โ€ข Data-Driven Testing: Techniques and strategies for creating data-driven tests to improve test coverage.
โ€ข BDD Tools: Overview and comparison of popular BDD tools, such as Cucumber, JBehave, and SpecFlow.
โ€ข Gherkin Language: Mastering the Gherkin syntax to write clear and concise feature files.
โ€ข Data-Driven Identification: Implementing data-driven identification in BDD, including Scenario Outlines and Examples tables.
โ€ข Collaborative Development: Fostering collaboration between developers, testers, and business analysts using BDD practices.
โ€ข Continuous Integration and Delivery: Integrating BDD into CI/CD pipelines to streamline software delivery.
โ€ข BDD Best Practices: Adopting best practices for BDD, such as maintaining a living documentation and using meaningful test names.
โ€ข BDD Metrics: Measuring the success and effectiveness of BDD initiatives using metrics, such as test coverage and code quality.

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The Executive Development Programme in BDD focuses on the growing demand for data-driven professionals in the UK. Explore the following roles in demand with our 3D pie chart, highlighting the market's job trends and skill demands. 1. Data Scientist: With a 25% share, data scientists are in high demand due to their expertise in machine learning, predictive modeling, and statistical analysis. 2. Business Intelligence Analyst: Holding 20% of the market, these professionals focus on interpreting data and providing actionable insights to support strategic business decisions. 3. Data Analyst: With 18% of the demand, data analysts collect, process, and perform statistical analyses on data to provide valuable insights for businesses. 4. Data Engineer: Representing 15% of the roles, data engineers build and maintain data systems and pipelines, ensuring data is readily accessible to analysts and scientists. 5. Data Architect: With a 12% share, data architects design and create data systems to support an organization's data strategy and meet its information needs. 6. Data Visualization Specialist: Holding 10% of the demand, these professionals create visual representations of data, making it easier for stakeholders to understand complex data patterns. Our interactive 3D pie chart provides a data-driven perspective on the current job market trends in the UK, ensuring your organization stays up-to-date with the latest skill demands.

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ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
EXECUTIVE DEVELOPMENT PROGRAMME IN BDD: DATA-DRIVEN IDENTIFICATION
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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