Certificate in DevOps for Data Science

Tuesday, 14 October 2025 01:24:54

International applicants and their qualifications are accepted

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Overview

Overview

DevOps for Data Science

is a specialized field that combines the principles of DevOps and data science to improve the efficiency and effectiveness of data-driven projects.


Designed for data scientists and engineers, this certificate program teaches the skills needed to integrate data science tools and techniques into a DevOps pipeline.


Learn how to automate data pipelines, deploy models, and monitor performance using tools like Jenkins, Docker, and Kubernetes.


Gain hands-on experience with popular data science frameworks like TensorFlow and PyTorch, and learn how to integrate them with DevOps tools.


Improve collaboration between data scientists and engineers, and deliver data-driven projects faster and more reliably.


Take the first step towards becoming a DevOps data scientist and start your journey today!

DevOps for Data Science is a game-changing course that bridges the gap between technology and analytics. By combining DevOps principles with data science skills, you'll unlock a world of efficiency, scalability, and innovation. With this certificate, you'll gain hands-on experience in DevOps tools like Jenkins, Docker, and Kubernetes, as well as data science techniques like machine learning and visualization. The key benefits include improved collaboration, faster deployment, and enhanced data-driven decision making. Career prospects are vast, with opportunities in top tech companies and startups. Unique features include personalized mentorship and a project-based learning approach.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Containerization
• Orchestration
• Monitoring
• Automation
• Scripting
• Version Control
• Cloud Computing
• Agile Methodologies
• Continuous Integration
• Data Visualization
• Infrastructure as Code

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Certificate in DevOps for Data Science

The Certificate in DevOps for Data Science is a specialized program designed to bridge the gap between data science and DevOps, enabling professionals to work seamlessly in both fields.
This certificate program focuses on teaching data scientists how to implement DevOps practices, such as continuous integration and continuous deployment, to improve the efficiency and scalability of data science projects.
Upon completion, learners will have gained the skills and knowledge necessary to work effectively with data engineers, architects, and other stakeholders to deliver high-quality data products.
The program typically takes 3-6 months to complete and consists of 6-12 modules, each covering a specific aspect of DevOps for data science, such as data pipeline management, containerization, and cloud computing.
The industry relevance of this certificate is high, as companies are increasingly looking for professionals who can bridge the gap between data science and IT operations.
By obtaining this certificate, data scientists can demonstrate their ability to work in a DevOps environment, improve collaboration with IT teams, and deliver data products more efficiently and effectively.
The skills and knowledge gained through this program are highly sought after by top tech companies, including Google, Amazon, and Microsoft, making it an attractive option for those looking to advance their careers in data science and DevOps.
Overall, the Certificate in DevOps for Data Science is an excellent choice for professionals looking to upskill and reskill in a rapidly evolving industry.

Why this course?

Certificate in DevOps for Data Science: A Key to Unlocking Industry Success in the UK In today's fast-paced data science landscape, the demand for professionals with expertise in DevOps is on the rise. According to a recent survey by the UK's Data Science Council of America, 75% of data scientists in the UK believe that DevOps skills are essential for their job. Moreover, a report by Glassdoor states that the average salary for a DevOps engineer in the UK is £85,000 per annum, making it a highly sought-after skill. Statistics on DevOps Adoption in the UK
Year DevOps Adoption Rate
2018 40%
2019 55%
2020 70%
2021 85%

Who should enrol in Certificate in DevOps for Data Science?

Data Scientist Ideal Candidate
Proficient in Python, R, or SQL With a strong foundation in statistics and machine learning, you're looking to expand your skill set into the world of DevOps.
Familiarity with data visualization tools like Tableau or Power BI You're eager to learn how to automate data pipelines, deploy models, and collaborate with cross-functional teams using DevOps practices.
Experience with cloud platforms like AWS or Azure You're interested in learning how to integrate your data science skills with DevOps tools like Jenkins, Docker, and Kubernetes to improve efficiency and scalability.
A passion for continuous learning and professional growth You're looking for a Certificate in DevOps for Data Science that will help you stay ahead of the curve in this rapidly evolving field.