Global Certificate in Data Science and Edge Computing

Name: Global Certificate in Data Science and Edge Computing
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The Global Certificate in Data Science and Edge Computing is a comprehensive course designed to meet the surging industry demand for professionals with expertise in these fields. This certificate program equips learners with essential skills required to design, implement, and manage data science projects and edge computing systems.

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About this course

The course covers key topics such as machine learning, data visualization, big data analytics, and edge computing, providing learners with a holistic understanding of data science and its practical applications in edge computing. With the increasing importance of data-driven decision-making and the proliferation of IoT devices, there is a growing need for professionals who can leverage data science and edge computing to drive business value. By completing this course, learners will gain a competitive edge in the job market and be well-positioned to advance their careers in data science, edge computing, or related fields. The course provides hands-on experience with industry-standard tools and techniques, enabling learners to apply their knowledge in real-world scenarios and demonstrate their expertise to potential employers.

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Course Details

• Fundamentals of Data Science
• Introduction to Edge Computing
• Data Analysis and Visualization
• Machine Learning and Predictive Analytics
• Big Data Processing with Hadoop and Spark
• Internet of Things (IoT) and Edge Devices
• Data Security and Privacy in Edge Computing
• Cloud Computing and Edge Integration
• Real-time Data Streaming and Analytics

Career Path

The Global Certificate in Data Science and Edge Computing is designed to address the growing demand for data science professionals in the UK. This certificate program focuses on equipping learners with the necessary skills to excel in various data-centric roles. Here are some of the key roles and their respective market trends, salary ranges, and skill demands: 1. Data Scientist: With a 60% share in the data science job market, data scientists are highly sought after in the UK. They can expect a median salary range of £40,000 to £75,000 per year. Key skills in demand for this role include Python, R, SQL, machine learning, and statistical analysis. 2. Data Analyst: Making up 20% of the job market, data analysts are responsible for interpreting complex data and turning it into actionable insights. They typically earn between £25,000 and £45,000 per year. Crucial skills for data analysts include data cleaning, data visualization, SQL, and statistical analysis. 3. Data Engineer: With a 15% share, data engineers focus on building and maintaining data infrastructure. They can earn a salary between £40,000 and £80,000 per year. Key skills for data engineers include big data platforms, SQL, distributed systems, and cloud computing. 4. Data Visualization Specialist: This role represents 5% of the job market and focuses on presenting data in a visual format. Data visualization specialists earn between £30,000 and £60,000 per year. Important skills for this role include data visualization tools (e.g., Tableau, PowerBI), design principles, and storytelling.

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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Earn a career certificate

GLOBAL CERTIFICATE IN DATA SCIENCE AND EDGE COMPUTING

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

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.