Global Certificate in Data Science in a Dynamic DevOps Landscape

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The Global Certificate in Data Science in a Dynamic DevOps Landscape is a comprehensive course designed to empower learners with essential data science skills in today's fast-paced DevOps environment. This course is critical for professionals seeking to advance their careers, as data science has become a crucial component of modern businesses, driving decision-making and innovation.

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AboutThisCourse

The course covers essential topics such as statistical analysis, machine learning, data visualization, and big data processing, providing learners with a well-rounded understanding of data science principles. Furthermore, it integrates DevOps concepts, enabling learners to effectively collaborate with cross-functional teams, automate data workflows, and improve data security. By the end of this course, learners will have gained the skills necessary to tackle complex data science problems, communicate insights effectively, and excel in a variety of data-driven roles, making them highly valuable assets in today's data-driven economy.

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CourseDetails

โ€ข Data Science Fundamentals
โ€ข Statistical Analysis and Probability
โ€ข Data Visualization and Exploratory Data Analysis
โ€ข Machine Learning Techniques
โ€ข Big Data Processing with Hadoop and Spark
โ€ข Data Science Tools and Languages (Python, R, SQL)
โ€ข DevOps Concepts and Practices
โ€ข Data-Driven DevOps and A/B Testing
โ€ข Continuous Integration, Deployment, and Monitoring in Data Science
โ€ข Cloud Computing and Infrastructure for Data Science

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  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
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StandardMode GBP £90
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  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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GLOBAL CERTIFICATE IN DATA SCIENCE IN A DYNAMIC DEVOPS LANDSCAPE
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London School of International Business (LSIB)
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05 May 2025
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