Professional Certificate in Data Science in DevOps: Mastering the Fundamentals

-- ViewingNow

The Professional Certificate in Data Science in DevOps: Mastering the Fundamentals is a comprehensive course designed to equip learners with essential skills for career advancement in the rapidly growing field of data science and DevOps. This certificate course is crucial in today's industry, where data science and DevOps converge to enable organizations to deliver high-quality software products and services quickly and efficiently.

4,5
Based on 6 695 reviews

6 192+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

ร€ propos de ce cours

The course covers key topics such as data analysis, machine learning, DevOps practices, and tools, providing learners with a strong foundation in data science and DevOps. By completing this course, learners will gain hands-on experience with popular DevOps tools like Jenkins, Docker, and Kubernetes, and data science tools like Python, R, and SQL. In addition, learners will develop skills in data visualization, statistical analysis, and machine learning, making them valuable assets to any organization seeking to leverage data to drive business decisions and outcomes. Overall, this certificate course is an excellent opportunity for learners to gain a competitive edge in the job market, increase their earning potential, and advance their careers in data science and DevOps.

100% en ligne

Apprenez de n'importe oรน

Certificat partageable

Ajoutez ร  votre profil LinkedIn

2 mois pour terminer

ร  2-3 heures par semaine

Commencez ร  tout moment

Aucune pรฉriode d'attente

Dรฉtails du cours

โ€ข Unit 1: Introduction to Data Science in DevOps
โ€ข Unit 2: DevOps Fundamentals and Data Science
โ€ข Unit 3: Data Collection and Analysis in DevOps
โ€ข Unit 4: Data Visualization Techniques for DevOps
โ€ข Unit 5: Machine Learning Algorithms in DevOps
โ€ข Unit 6: Predictive Analytics and DevOps
โ€ข Unit 7: Data Security and Privacy in DevOps
โ€ข Unit 8: Big Data and DevOps
โ€ข Unit 9: Real-world Applications of Data Science in DevOps
โ€ข Unit 10: Best Practices and Future Trends in Data Science for DevOps

Parcours professionnel

The Professional Certificate in Data Science offers various roles in DevOps, and this 3D pie chart showcases the distribution of job opportunities. With the increasing demand for data-driven environments, organizations require skilled professionals to manage and optimize data workflows. Data Engineers (30%) play a crucial role in creating and maintaining data pipelines, ensuring that data is accessible and ready for analysis. Their responsibilities include managing data storage, processing, and orchestration systems. Data Scientists (40%) focus on extracting knowledge from data using statistical and machine learning techniques. They work closely with domain experts to understand business challenges and develop predictive models, enabling data-driven decision-making. DevOps Engineers (20%) bridge the gap between software development and operations. They automate processes, streamline workflows, and ensure that applications are deployed and updated seamlessly, reducing time-to-market and increasing collaboration. Finally, ML Engineers (10%) are responsible for productionizing machine learning models, integrating them with existing systems, and maintaining their performance. They ensure that models are scalable, reliable, and robust, enabling organizations to take full advantage of their data assets. With the growing popularity of Data Science and DevOps in the UK, this certificate will empower professionals to succeed in their careers and contribute to the success of their organizations.

Exigences d'admission

  • Comprรฉhension de base de la matiรจre
  • Maรฎtrise de la langue anglaise
  • Accรจs ร  l'ordinateur et ร  Internet
  • Compรฉtences informatiques de base
  • Dรฉvouement pour terminer le cours

Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.

Statut du cours

Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :

  • Non accrรฉditรฉ par un organisme reconnu
  • Non rรฉglementรฉ par une institution autorisรฉe
  • Complรฉmentaire aux qualifications formelles

Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.

Pourquoi les gens nous choisissent pour leur carriรจre

Chargement des avis...

Questions frรฉquemment posรฉes

Qu'est-ce qui rend ce cours unique par rapport aux autres ?

Combien de temps faut-il pour terminer le cours ?

WhatSupportWillIReceive

IsCertificateRecognized

WhatCareerOpportunities

Quand puis-je commencer le cours ?

Quel est le format du cours et l'approche d'apprentissage ?

Frais de cours

LE PLUS POPULAIRE
Voie rapide : GBP £140
Complรฉter en 1 mois
Parcours d'Apprentissage Accรฉlรฉrรฉ
  • 3-4 heures par semaine
  • Livraison anticipรฉe du certificat
  • Inscription ouverte - commencez quand vous voulez
Start Now
Mode standard : GBP £90
Complรฉter en 2 mois
Rythme d'Apprentissage Flexible
  • 2-3 heures par semaine
  • Livraison rรฉguliรจre du certificat
  • Inscription ouverte - commencez quand vous voulez
Start Now
Ce qui est inclus dans les deux plans :
  • Accรจs complet au cours
  • Certificat numรฉrique
  • Supports de cours
Prix Tout Compris โ€ข Aucuns frais cachรฉs ou coรปts supplรฉmentaires

Obtenir des informations sur le cours

Nous vous enverrons des informations dรฉtaillรฉes sur le cours

Payer en tant qu'entreprise

Demandez une facture pour que votre entreprise paie ce cours.

Payer par Facture

Obtenir un certificat de carriรจre

Arriรจre-plan du Certificat d'Exemple
PROFESSIONAL CERTIFICATE IN DATA SCIENCE IN DEVOPS: MASTERING THE FUNDAMENTALS
est dรฉcernรฉ ร 
Nom de l'Apprenant
qui a terminรฉ un programme ร 
London School of International Business (LSIB)
Dรฉcernรฉ le
05 May 2025
ID Blockchain : s-1-a-2-m-3-p-4-l-5-e
Ajoutez cette certification ร  votre profil LinkedIn, CV ou curriculum vitae. Partagez-la sur les rรฉseaux sociaux et dans votre รฉvaluation de performance.
SSB Logo

4.8
Nouvelle Inscription