Certificate in DevOps & Data Science: Skills for Success

Name: Certificate in DevOps & Data Science: Skills for Success
Availability: InStock

-- viendo ahora

The Certificate in DevOps & Data Science: Skills for Success is a comprehensive course designed to meet the growing industry demand for professionals with expertise in DevOps and Data Science. This course equips learners with essential skills required to streamline software development and deployment processes, and analyze complex data sets to drive business decisions.

5,0

Based on 3.463 reviews

4.828+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

Acerca de este curso

By blending theory and practical application, learners will gain hands-on experience with the latest tools and technologies used in DevOps and Data Science, such as Docker, Kubernetes, Git, Jenkins, Python, R, and Machine Learning algorithms. Upon completion, learners will be able to demonstrate a deep understanding of DevOps principles, data analysis techniques, and machine learning models, making them highly valuable to employers in various industries, including tech, finance, healthcare, and manufacturing. Invest in this course to advance your career, increase your earning potential, and stay ahead of the competition in today's rapidly evolving digital landscape.

HundredPercentOnline

LearnFromAnywhere

ShareableCertificate

AddToLinkedIn

TwoMonthsToComplete

AtTwoThreeHoursAWeek

StartAnytime

Sin período de espera

Detalles del Curso

• Unit 1: Introduction to DevOps & Data Science
• Unit 2: Agile Methodologies & Collaboration in DevOps
• Unit 3: Continuous Integration, Delivery & Deployment (CI/CD)
• Unit 4: Infrastructure as Code (IaC) & Configuration Management
• Unit 5: Containerization & Orchestration (Docker, Kubernetes)
• Unit 6: Monitoring, Logging & Tracing in DevOps
• Unit 7: Data Science Fundamentals (Data Analysis, Machine Learning, Data Visualization)
• Unit 8: Data Engineering & Big Data Processing (Hadoop, Spark, Hive)
• Unit 9: DevOps Tools in Data Science (Apache Airflow, Kubeflow)
• Unit 10: DevOps Culture for Data Science Success

Trayectoria Profesional

The Certificate in DevOps & Data Science is a forward-thinking program designed to equip learners with the essential skills necessary to thrive in today's data-driven world. This interactive 3D pie chart highlights the popularity of three distinct yet interconnected roles: DevOps Engineer, Data Scientist, and DevOps & Data Science Hybrid. In the UK, the demand for professionals with a deep understanding of DevOps and Data Science is soaring. Companies across industries recognize the value of harnessing data to make informed decisions and streamline processes. Consequently, individuals with a strong foundation in these domains are highly sought after. The **DevOps Engineer** role, represented by the first slice of the pie chart, focuses on bridging the gap between software development and IT operations. These professionals facilitate collaboration, automate processes, and monitor system performance to ensure seamless software delivery. Next, we have the **Data Scientist** role, illustrated by the second slice of the pie chart. Data Scientists are responsible for extracting valuable insights from complex datasets. They design and implement machine learning models, perform statistical analysis, and communicate findings to stakeholders, driving data-informed business strategies. Lastly, the **DevOps & Data Science Hybrid** role, depicted by the third slice of the pie chart, combines the expertise of DevOps Engineers and Data Scientists. Hybrid professionals possess a unique blend of skills, allowing them to address the challenges of modern data-centric organizations by overseeing data infrastructure and implementing data-driven solutions. In conclusion, the Certificate in DevOps & Data Science prepares learners for a successful career in a rapidly evolving industry. With the ever-growing emphasis on data-driven decision-making and automation, professionals with a strong foundation in DevOps and Data Science will remain in high demand.

Requisitos de Entrada

Comprensión básica de la materia
Competencia en idioma inglés
Acceso a computadora e internet
Habilidades básicas de computadora
Dedicación para completar el curso

No se requieren calificaciones formales previas. El curso está diseñado para la accesibilidad.

Estado del Curso

Este curso proporciona conocimientos y habilidades prácticas para el desarrollo profesional. Es:

No acreditado por un organismo reconocido
No regulado por una institución autorizada
Complementario a las calificaciones formales

Recibirás un certificado de finalización al completar exitosamente el curso.

Por qué la gente nos elige para su carrera

Cargando reseñas...

Preguntas Frecuentes

¿Qué hace que este curso sea único en comparación con otros?

▼

¿Cuánto tiempo toma completar el curso?

▼

WhatSupportWillIReceive

▼

IsCertificateRecognized

▼

WhatCareerOpportunities

▼

¿Cuándo puedo comenzar el curso?

▼

¿Cuál es el formato del curso y el enfoque de aprendizaje?

▼

Tarifa del curso

MÁS POPULAR

Vía Rápida: GBP £140

Completa en 1 mes

Ruta de Aprendizaje Acelerada

3-4 horas por semana
Entrega temprana del certificado
Inscripción abierta - comienza cuando quieras

Start Now

Modo Estándar: GBP £90

Completa en 2 meses

Ritmo de Aprendizaje Flexible

2-3 horas por semana
Entrega regular del certificado
Inscripción abierta - comienza cuando quieras

Start Now

Lo que está incluido en ambos planes:

Acceso completo al curso
Certificado digital
Materiales del curso

Precio Todo Incluido • Sin tarifas ocultas o costos adicionales

Obtener información del curso

Pagar como empresa

Solicita una factura para que tu empresa pague este curso.

Pagar por Factura

Obtener un certificado de carrera

CERTIFICATE IN DEVOPS & DATA SCIENCE: SKILLS FOR SUCCESS

se otorga a

Nombre del Aprendiz

quien ha completado un programa en

London School of International Business (LSIB)

Otorgado el

05 May 2025

ID de Blockchain: s-1-a-2-m-3-p-4-l-5-e

Agrega esta credencial a tu perfil de LinkedIn, currículum o CV. Compártela en redes sociales y en tu revisión de desempeño.