Certificate in Continuous Integration & Delivery for Data Science

Name: 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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이 과정에 대해

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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어디서든 학습

공유 가능한 인증서

LinkedIn 프로필에 추가

완료까지 2개월

주 2-3시간

언제든 시작

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과정 세부사항

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

경력 경로

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 £40,000 to over £80,000 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 £80,000 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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경력 인증서 획득

CERTIFICATE IN CONTINUOUS INTEGRATION & DELIVERY FOR DATA SCIENCE

에게 수여됨

학습자 이름

에서 프로그램을 완료한 사람

London School of International Business (LSIB)

수여일

05 May 2025

블록체인 ID: s-1-a-2-m-3-p-4-l-5-e

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