Certificate in Continuous Integration & Delivery for Data Science

Name: Certificate in Continuous Integration & Delivery for Data Science
Availability: InStock

-- viendo ahora

The Certificate in Continuous Integration & Delivery for Data Science is a crucial course that bridges the gap between data science and software engineering. This certificate course emphasizes the importance of automating code deployment and integration, ensuring that data scientists can efficiently and effectively deliver their findings to stakeholders.

4,0

Based on 6.757 reviews

2.234+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

Acerca de este curso

Learners will gain expertise in DevOps practices and tools, such as Jenkins, Docker, and Kubernetes, making them highly valuable in today's rapidly evolving tech industry. With the increasing demand for data science professionals who can also manage the entire software development lifecycle, this course equips learners with essential skills for career advancement. By the end of the course, learners will have a solid understanding of how to streamline their workflow, ensuring that their data science projects are delivered on time and to the highest standards.

HundredPercentOnline

LearnFromAnywhere

ShareableCertificate

AddToLinkedIn

TwoMonthsToComplete

AtTwoThreeHoursAWeek

StartAnytime

Sin período de espera

Detalles del Curso

• Introduction to Continuous Integration & Delivery
• Version Control Systems (Git, Mercurial)
• Setting up a CI/CD Pipeline (Jenkins, CircleCI, Travis CI)
• Testing in CI/CD (Unit testing, Integration testing)
• Continuous Integration Best Practices
• Continuous Delivery and Deployment (Blue/Green, Canary)
• Containerization and CI/CD (Docker, Kubernetes)
• Cloud-based CI/CD (AWS CodePipeline, Azure DevOps)
• Monitoring and Logging in CI/CD
• CI/CD for Data Science Projects (Data version control, MLOps)

Trayectoria Profesional

Popular roles in the continuous integration & delivery field for data science are data scientist, DevOps engineer specializing in data science, data engineer, and machine learning engineer. These roles require skills in areas such as data management, machine learning, software development, and cloud computing. Demand for professionals with these skills is high in the UK, and salaries can range from £40,000 to over £80,000 per year depending on the role and level of experience. The 3D pie chart below provides a visual representation of the job market trends for these roles. The data scientist role involves using statistical and machine learning techniques to extract insights from data. This role requires skills in areas such as data visualization, data mining, and statistical analysis. According to recent job market trends, data scientist is the most in-demand role in the continuous integration & delivery field for data science in the UK. DevOps engineer specializing in data science is another role that is in high demand in the UK. This role involves managing the development and deployment of data science applications using continuous integration & delivery techniques. Skills required for this role include software development, cloud computing, and automation. Data engineer is a role that involves managing and processing large amounts of data using distributed computing technologies. This role requires skills in areas such as data warehousing, data pipelines, and distributed computing. Machine learning engineer is a role that involves building and deploying machine learning models using cloud computing technologies. This role requires skills in areas such as machine learning, deep learning, and cloud computing. In conclusion, the continuous integration & delivery field for data science offers a wide range of career opportunities with high demand for skilled professionals in the UK. Salaries for these roles can be quite lucrative, with data scientist roles earning up to £80,000 per year. By gaining the necessary skills in areas such as data management, machine learning, software development, and cloud computing, professionals can take advantage of the growing job market trends in this field.

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 CONTINUOUS INTEGRATION & DELIVERY FOR DATA SCIENCE

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.