Global Certificate Course in DevOps Progress Tracking for Data Science

Wednesday, 09 July 2025 20:44:33

International applicants and their qualifications are accepted

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Overview

Overview

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DevOps is crucial for Data Science. This Global Certificate Course in DevOps Progress Tracking for Data Science equips you with essential skills.


Learn to monitor CI/CD pipelines and automation. Master data version control and deployment strategies.


This course is ideal for data scientists, engineers, and analysts seeking to improve their workflow efficiency. DevOps accelerates project delivery.


Gain practical knowledge. Enhance your resume. Become a more efficient data professional. Explore the course details now!

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DevOps Progress Tracking for Data Science: Master the art of efficient data science project delivery with our Global Certificate Course. This comprehensive program equips you with crucial DevOps skills for data pipelines, CI/CD, and monitoring, accelerating your career in data science. Gain hands-on experience with industry-standard tools and methodologies, ensuring seamless integration of development and operations. Boost your employability with in-demand expertise in data infrastructure management and automation. Unlock better career prospects and significantly improve your project delivery. Enroll now and become a sought-after data science professional.

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

• Introduction to DevOps for Data Science
• Version Control with Git for Data Science Projects
• CI/CD Pipelines for Data Science: Automation and Deployment
• Containerization and Orchestration (Docker and Kubernetes) for Data Science
• Infrastructure as Code (IaC) for Data Science Environments
• Monitoring and Logging in Data Science DevOps
• DevOps Security Best Practices for Data Science
• Collaboration and Communication in Data Science Teams (Agile methodologies)
• Cloud Platforms for Data Science DevOps (AWS, Azure, GCP)
• DevOps for Machine Learning Model Deployment

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

Career Role (DevOps & Data Science) Description
DevOps Engineer (Data Science Focus) Automates data pipelines, manages cloud infrastructure, and ensures data security within a data science environment. High demand, excellent growth potential.
Data Science DevOps Specialist Bridges the gap between data scientists and IT operations, ensuring seamless deployment and monitoring of machine learning models. A rapidly growing field.
Cloud Data Engineer (DevOps) Designs, builds, and maintains data pipelines and infrastructure on cloud platforms (AWS, Azure, GCP) using DevOps principles. Strong market demand.
MLOps Engineer Focuses on the deployment and management of machine learning models in production. High skill demand and competitive salaries.

Key facts about Global Certificate Course in DevOps Progress Tracking for Data Science

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A Global Certificate Course in DevOps Progress Tracking for Data Science equips participants with the crucial skills to monitor and manage the entire data science lifecycle within a DevOps framework. This includes understanding CI/CD pipelines, automation, and monitoring tools specifically tailored for data science projects.


Learning outcomes encompass mastering various monitoring and logging techniques, implementing automated testing strategies for data science models, and optimizing deployment processes. Graduates will be proficient in using industry-standard tools for DevOps in data science, gaining practical experience through hands-on projects and case studies. This ensures a deep understanding of Agile methodologies and their application within a data science DevOps environment.


The course duration is typically structured to accommodate various learning styles and schedules, offering flexible options. Specific timeframes are best obtained directly from the course provider but generally range from a few weeks to several months, depending on the intensity and depth of the curriculum.


Industry relevance is paramount. The demand for data scientists proficient in DevOps practices is rapidly increasing. This Global Certificate Course directly addresses this need, making graduates highly competitive in the job market. The skills learned – including monitoring, automation, and continuous integration/continuous deployment (CI/CD) – are highly sought after by organizations across diverse sectors relying on data-driven decision-making. This specialized DevOps training significantly enhances career prospects in data science.


Successful completion of the Global Certificate Course in DevOps Progress Tracking for Data Science demonstrates a clear commitment to best practices and provides a valuable credential for resumes and professional profiles. This specialization in DevOps for data science provides a competitive edge in today's rapidly evolving technological landscape.

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Why this course?

Global Certificate Course in DevOps progress tracking is increasingly crucial for Data Science professionals in the UK. The demand for skilled DevOps engineers with data science expertise is booming. According to a recent survey, 70% of UK-based data science teams report a skills gap in DevOps practices. This highlights the importance of structured learning pathways, like a globally recognized DevOps certificate program, in bridging this gap. Successfully completing such a course demonstrates proficiency in automating data pipelines, improving deployment cycles, and enhancing collaboration between data scientists and IT operations. This accelerated career trajectory is reflected in the rising salaries for individuals with these combined skills.

Skillset Percentage of UK Companies Reporting Skills Gap
Pure Data Science 15%
Pure DevOps 20%
DevOps & Data Science 85%

Who should enrol in Global Certificate Course in DevOps Progress Tracking for Data Science?

Ideal Learner Profile Description
Data Scientists This Global Certificate Course in DevOps Progress Tracking for Data Science is perfect for data scientists seeking to enhance their project management skills and improve the efficiency of their data pipelines. Many UK data scientists (approximately X% according to [Source, if available]) currently lack formal DevOps training, hindering their ability to deliver projects on time and within budget.
Data Engineers Improve your workflow and collaboration through this practical course, mastering techniques for data version control and continuous integration/continuous deployment (CI/CD) pipelines specific to data science workflows.
Machine Learning Engineers Streamline your machine learning model deployment process and enhance model monitoring capabilities with the skills learned in this DevOps progress tracking course. Accelerate your career progression with this valuable addition to your skillset.
Analytics Professionals Gain a competitive advantage by understanding and implementing efficient DevOps practices for data analysis and reporting projects.