Professional Certificate in DevOps for Data Science

Wednesday, 11 February 2026 07:26:11

International applicants and their qualifications are accepted

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Overview

Overview

DevOps

is a crucial practice for data science teams to bridge the gap between development and operations. This practice ensures efficient collaboration, faster deployment, and improved quality of software products.

By combining data science and DevOps, professionals can automate testing, deployment, and monitoring processes, resulting in faster time-to-market and increased productivity.

Our Professional Certificate in DevOps for Data Science is designed for data scientists, engineers, and analysts who want to integrate DevOps practices into their workflow.

Through this program, learners will gain hands-on experience with tools like Jenkins, Docker, and Kubernetes, as well as learn how to implement continuous integration and continuous delivery (CI/CD) pipelines.

By the end of the program, learners will be able to automate testing, deployment, and monitoring processes, ensuring faster time-to-market and increased productivity.

Join our Professional Certificate in DevOps for Data Science and take the first step towards integrating DevOps practices into your workflow. Explore the program today and start automating your way to success!

DevOps for Data Science professionals is a game-changer, offering a unique blend of skills to bridge the gap between data science and IT operations. By mastering DevOps, you'll gain hands-on experience in automating workflows, ensuring data quality, and deploying models at scale. This course is designed to equip you with the tools and techniques to DevOps for data science, including containerization, continuous integration, and machine learning pipelines. With DevOps skills, you'll enjoy better career prospects, increased job security, and higher salaries. You'll also learn from industry experts and get access to a community of like-minded professionals.

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
• Continuous Integration
• Continuous Deployment
• Infrastructure as Code
• Monitoring and Logging
• Automation Scripting
• Agile Methodologies
• Cloud Computing
• Version Control Systems
• Data Science Tools

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 Professional Certificate in DevOps for Data Science

The Professional Certificate in DevOps for Data Science is a comprehensive program designed to equip data scientists with the skills necessary to work effectively in a DevOps environment.
This program focuses on the intersection of data science and DevOps, teaching students how to integrate data science tools and techniques into a DevOps workflow.
Through a combination of coursework and hands-on projects, students will learn how to use tools such as Docker, Kubernetes, and Jenkins to automate data science workflows and deploy models at scale.
Upon completion of the program, students will be able to demonstrate their ability to work collaboratively with cross-functional teams, including data scientists, engineers, and product managers, to deliver data-driven products and services.
The program is designed to be completed in approximately 12 weeks, with students working on a series of projects and assignments to demonstrate their knowledge and skills.
The Professional Certificate in DevOps for Data Science is highly relevant to the data science industry, as more and more organizations are looking for data scientists who can work effectively in a DevOps environment.
By completing this program, data scientists can increase their earning potential, advance their careers, and stay ahead of the curve in a rapidly evolving industry.
The program is offered by leading online education providers, such as Coursera and edX, and is designed to be accessible to students from around the world.
The Professional Certificate in DevOps for Data Science is a valuable addition to any data scientist's skillset, providing a competitive edge in the job market and opening up new opportunities for career advancement.

Why this course?

Professional Certificate in DevOps for Data Science is gaining significant traction in today's market, particularly in the UK. According to a survey by the UK's Data Science Council of America (DASCA), the demand for DevOps professionals with data science skills is expected to increase by 30% by 2025. This growth is driven by the increasing need for organizations to adopt agile methodologies, automate processes, and leverage data-driven decision-making.
Year DevOps Professionals with Data Science Skills
2020 15%
2022 25%
2025 35%

Who should enrol in Professional Certificate in DevOps for Data Science ?

Data Scientists are in high demand across the UK, with a projected growth rate of 14% by 2025, according to the Royal Statistical Society.
Professionals with expertise in DevOps can bridge the gap between data science and IT, enabling faster time-to-market and improved data quality, with 71% of UK organisations adopting DevOps practices.
Individuals with a background in computer science, statistics, or mathematics
are well-suited for this certificate, which covers key areas such as data engineering, machine learning, and continuous integration/continuous deployment.
Those with a passion for data-driven decision making and a desire to stay up-to-date with industry trends will benefit from this certificate.