Advanced Certificate in DevOps for Data Science

Sunday, 12 October 2025 12:44:06

International applicants and their qualifications are accepted

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Overview

Overview

DevOps for Data Science


Unlock the power of automation and collaboration in data science with our Advanced Certificate in DevOps for Data Science.


This program is designed for data scientists and engineers who want to bridge the gap between data analysis and deployment.


Some of the key skills you'll learn include: continuous integration, continuous deployment, and containerization using Docker.

By the end of this program, you'll be able to automate your data science workflows, improve collaboration with developers, and deliver insights faster.


Join our community of data science professionals and take the first step towards a more efficient and effective data-driven approach.

DevOps for Data Science is a game-changing certification that bridges the gap between data science and IT operations. By mastering DevOps skills, you'll enhance your data science workflow, improve collaboration, and increase efficiency. This advanced certificate program focuses on DevOps best practices, containerization, and cloud computing, ensuring seamless integration with data science tools. Key benefits include improved productivity, enhanced collaboration, and increased scalability. Career prospects are vast, with opportunities in leading tech companies and startups. Unique features include hands-on projects, expert mentorship, and a comprehensive curriculum that covers CI/CD pipelines and data science tools.

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 with Docker
• Continuous Integration and Continuous Deployment (CI/CD)
• Monitoring and Logging with Prometheus and Grafana
• Scripting with Bash and Python
• Automation with Ansible
• Data Science with Python and NumPy
• Machine Learning with Scikit-learn
• Cloud Computing with AWS or GCP
• Agile Methodologies and Version Control with Git
• Security and Compliance in DevOps

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 Advanced Certificate in DevOps for Data Science

The Advanced Certificate in DevOps for Data Science is a comprehensive program designed to equip learners with the skills required to bridge the gap between data science and DevOps.
This program focuses on teaching learners how to integrate data science tools and techniques with DevOps practices, enabling them to build, deploy, and manage data-driven applications efficiently.
Upon completion of the program, learners can expect to gain knowledge in areas such as data engineering, machine learning, and cloud computing, as well as DevOps tools like Jenkins, Docker, and Kubernetes.
The learning outcomes of this program include the ability to design, develop, and deploy data-driven applications, as well as to manage and monitor the entire application lifecycle.
The duration of the Advanced Certificate in DevOps for Data Science program varies depending on the institution offering it, but it typically takes several months to complete.
Industry relevance is high for this program, as the demand for professionals who can integrate data science and DevOps is increasing rapidly.
Many organizations are looking for professionals who can build, deploy, and manage data-driven applications using DevOps practices, making this program an attractive option for those looking to transition into this field.
The skills gained from this program can be applied in various industries, including finance, healthcare, and retail, where data-driven applications are becoming increasingly common.
Overall, the Advanced Certificate in DevOps for Data Science is a valuable program for anyone looking to gain the skills required to succeed in this rapidly growing field.

Why this course?

Advanced Certificate in DevOps for Data Science is gaining significant importance in today's market, particularly in the UK. According to a survey by the UK's Data Science Council of America, 70% of data scientists in the UK use DevOps tools to improve their workflow efficiency. Another survey by the UK's DevOps Foundation found that 85% of companies in the UK have adopted DevOps practices to enhance collaboration and speed up delivery.
Statistics Percentage
Companies adopting DevOps practices in the UK 85%
Data scientists in the UK using DevOps tools 70%
UK companies using containerization (e.g., Docker) 60%
UK companies using continuous integration and delivery (CI/CD) 80%

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

Data Scientist Ideal Candidate
Professionals with a strong foundation in data science, machine learning, and statistics Typically hold a bachelor's degree in computer science, mathematics, or statistics, with 2-5 years of experience in data analysis and visualization
Familiarity with programming languages such as Python, R, or SQL Desirable skills include experience with data engineering tools like Apache Spark, Hadoop, or AWS Glue, as well as knowledge of cloud computing platforms like AWS or Azure
Ability to work in an agile environment and collaborate with cross-functional teams In the UK, the average salary for a data scientist is around £60,000-£80,000 per annum, with senior roles reaching up to £100,000 or more