Global Certificate in AWS & Azure: Data Science in the Cloud

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The Global Certificate in AWS & Azure: Data Science in the Cloud course is a comprehensive program designed to equip learners with essential skills for data science in cloud platforms. This course is of paramount importance in today's tech-driven world where businesses rely heavily on data-driven decision making.

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About this course

With the rapid growth of cloud technologies, there is an increasing demand for professionals who can leverage these platforms for data science. This course focuses on training learners in the use of Amazon Web Services (AWS) and Microsoft Azure, two of the leading cloud service providers. Upon completion, learners will be able to utilize these platforms to manage, analyze, and visualize big data, making them highly valuable to employers. This course is a stepping stone for career advancement in the field of data science and cloud computing, providing learners with the skills needed to excel in these high-growth industries.

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Course Details

• Unit 1: Introduction to Cloud Computing & Data Science
• Unit 2: AWS & Azure Fundamentals for Data Science
• Unit 3: Setting Up Data Science Environments in AWS & Azure
• Unit 4: Big Data Processing with AWS & Azure Tools
• Unit 5: Machine Learning & Deep Learning in AWS & Azure
• Unit 6: Computer Vision & Natural Language Processing in the Cloud
• Unit 7: Data Analytics & Visualization with AWS & Azure
• Unit 8: Security Best Practices for Cloud-based Data Science
• Unit 9: Optimizing Cost & Performance in AWS & Azure for Data Science
• Unit 10: Real-world Use Cases & Best Practices for Cloud Data Science

Career Path

The following roles are in high demand in the UK, with a strong focus on AWS and Azure data science skills: - Data Engineer (AWS): With a 25% share, data engineers specializing in AWS are sought after for their expertise in managing and optimizing data infrastructure. - Data Scientist (AWS): Comprising 20% of the market, AWS-certified data scientists are in demand for their ability to design and implement data-driven solutions using AWS tools and services. - Data Analyst (AWS): Data analysts skilled in AWS hold 15% of the market, demonstrating the need for professionals who can interpret and present actionable insights using AWS data platforms. - Data Engineer (Azure): Azure-certified data engineers make up 20% of the market, thanks to their proficiency in building and maintaining Azure data ecosystems. - Data Scientist (Azure): Azure-certified data scientists hold 15% of the market, as organizations seek experts in Azure-based machine learning and predictive analytics. - Data Analyst (Azure): Data analysts with Azure skills represent 5% of the market, showing the growing importance of Azure data platforms in data analysis. This 3D pie chart highlights the demand for various data science roles in the UK that utilize AWS and Azure cloud services, enabling you to make informed career decisions and target your professional development accordingly.

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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Sample Certificate Background
GLOBAL CERTIFICATE IN AWS & AZURE: DATA SCIENCE IN THE CLOUD
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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