Certificate in Continuous Integration & Delivery for Data Science

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The Certificate in Continuous Integration & Delivery for Data Science is a crucial course that bridges the gap between data science and software engineering. This certificate course emphasizes the importance of automating code deployment and integration, ensuring that data scientists can efficiently and effectively deliver their findings to stakeholders.

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Learners will gain expertise in DevOps practices and tools, such as Jenkins, Docker, and Kubernetes, making them highly valuable in today's rapidly evolving tech industry. With the increasing demand for data science professionals who can also manage the entire software development lifecycle, this course equips learners with essential skills for career advancement. By the end of the course, learners will have a solid understanding of how to streamline their workflow, ensuring that their data science projects are delivered on time and to the highest standards.

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โ€ข Introduction to Continuous Integration & Delivery
โ€ข Version Control Systems (Git, Mercurial)
โ€ข Setting up a CI/CD Pipeline (Jenkins, CircleCI, Travis CI)
โ€ข Testing in CI/CD (Unit testing, Integration testing)
โ€ข Continuous Integration Best Practices
โ€ข Continuous Delivery and Deployment (Blue/Green, Canary)
โ€ข Containerization and CI/CD (Docker, Kubernetes)
โ€ข Cloud-based CI/CD (AWS CodePipeline, Azure DevOps)
โ€ข Monitoring and Logging in CI/CD
โ€ข CI/CD for Data Science Projects (Data version control, MLOps)

่Œไธš้“่ทฏ

Popular roles in the continuous integration & delivery field for data science are data scientist, DevOps engineer specializing in data science, data engineer, and machine learning engineer. These roles require skills in areas such as data management, machine learning, software development, and cloud computing. Demand for professionals with these skills is high in the UK, and salaries can range from ยฃ40,000 to over ยฃ80,000 per year depending on the role and level of experience. The 3D pie chart below provides a visual representation of the job market trends for these roles. The data scientist role involves using statistical and machine learning techniques to extract insights from data. This role requires skills in areas such as data visualization, data mining, and statistical analysis. According to recent job market trends, data scientist is the most in-demand role in the continuous integration & delivery field for data science in the UK. DevOps engineer specializing in data science is another role that is in high demand in the UK. This role involves managing the development and deployment of data science applications using continuous integration & delivery techniques. Skills required for this role include software development, cloud computing, and automation. Data engineer is a role that involves managing and processing large amounts of data using distributed computing technologies. This role requires skills in areas such as data warehousing, data pipelines, and distributed computing. Machine learning engineer is a role that involves building and deploying machine learning models using cloud computing technologies. This role requires skills in areas such as machine learning, deep learning, and cloud computing. In conclusion, the continuous integration & delivery field for data science offers a wide range of career opportunities with high demand for skilled professionals in the UK. Salaries for these roles can be quite lucrative, with data scientist roles earning up to ยฃ80,000 per year. By gaining the necessary skills in areas such as data management, machine learning, software development, and cloud computing, professionals can take advantage of the growing job market trends in this field.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
CERTIFICATE IN CONTINUOUS INTEGRATION & DELIVERY FOR DATA SCIENCE
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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