Global Certificate in Data Science and Artificial Intelligence

Friday, 13 February 2026 13:14:07

International applicants and their qualifications are accepted

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Overview

Overview

Global Certificate in Data Science and Artificial Intelligence


This program is designed for individuals who want to gain expertise in Data Science and Artificial Intelligence, a rapidly growing field with numerous applications in business, healthcare, and technology.


Through this certificate, learners will develop skills in data analysis, machine learning, and programming languages such as Python and R.


They will also learn about data visualization, statistical modeling, and natural language processing.


Our program is ideal for professionals looking to upskill or reskill in Data Science and Artificial Intelligence, as well as students interested in pursuing a career in this field.


By the end of the program, learners will have a solid understanding of the concepts and techniques used in Data Science and Artificial Intelligence and be equipped to apply them in real-world projects.


Take the first step towards a career in Data Science and Artificial Intelligence and explore our program today!

Data Science and Artificial Intelligence is a rapidly evolving field that offers a wide range of career opportunities. This Global Certificate in Data Science and Artificial Intelligence program equips students with the necessary skills to succeed in this field. By learning from industry experts, students will gain hands-on experience in data analysis, machine learning, and artificial intelligence. The course features real-world projects and collaborative learning opportunities, allowing students to apply theoretical concepts to practical problems. Upon completion, students can expect improved job prospects and enhanced career opportunities in data science and AI.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Machine Learning Fundamentals • Data Preprocessing and Cleaning • Data Visualization with Python • Supervised and Unsupervised Learning • Deep Learning with Neural Networks • Natural Language Processing • Predictive Modeling and Analytics • Big Data and NoSQL Databases • Ethics and Fairness in AI • Cloud Computing for Data Science

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Global Certificate in Data Science and Artificial Intelligence

The Global Certificate in Data Science and Artificial Intelligence is a comprehensive program designed to equip learners with the necessary skills to succeed in the rapidly growing field of data science and AI.
This certificate program focuses on providing learners with a solid understanding of data science and AI concepts, including machine learning, deep learning, natural language processing, and data visualization.
Upon completion of the program, learners can expect to gain the following learning outcomes:
- Develop a deep understanding of data science and AI concepts and their applications
- Learn to design, develop, and deploy data-driven solutions using various tools and technologies
- Acquire skills in machine learning, deep learning, and natural language processing
- Develop data visualization skills to effectively communicate insights and results
- Learn to work with big data and NoSQL databases
- Understand the importance of ethics and bias in AI systems
- Develop skills in programming languages such as Python, R, and SQL
- Learn to work with cloud-based platforms and tools such as AWS, Azure, and Google Cloud
- Develop skills in data engineering, data warehousing, and business intelligence
- Learn to work with various data sources, including structured and unstructured data
- Develop skills in data storytelling and presentation
- Learn to work with various AI and machine learning frameworks, including TensorFlow, PyTorch, and Keras
- Develop skills in natural language processing, computer vision, and robotics
- Learn to work with various data visualization tools, including Tableau, Power BI, and D3.js
- Develop skills in data mining, predictive analytics, and prescriptive analytics
- Learn to work with various business intelligence tools, including Excel, SQL, and Tableau
- Develop skills in data governance, data quality, and data security
- Learn to work with various cloud-based platforms, including AWS, Azure, and Google Cloud
- Develop skills in DevOps, agile methodologies, and version control systems
- Learn to work with various programming languages, including Python, R, and SQL
- Develop skills in data engineering, data warehousing, and business intelligence
- Learn to work with various data sources, including structured and unstructured data
- Develop skills in data storytelling and presentation
- Learn to work with various AI and machine learning frameworks, including TensorFlow, PyTorch, and Keras
- Develop skills in natural language processing, computer vision, and robotics
- Learn to work with various data visualization tools, including Tableau, Power BI, and D3.js
- Develop skills in data mining, predictive analytics, and prescriptive analytics
- Learn to work with various business intelligence tools, including Excel, SQL, and Tableau
- Develop skills in data governance, data quality, and data security
- Learn to work with various cloud-based platforms, including AWS, Azure, and Google Cloud
- Develop skills in DevOps, agile methodologies, and version control systems
- Learn to work with various programming languages, including Python, R, and SQL
- Develop skills in data engineering, data warehousing, and business intelligence
- Learn to work with various data sources, including structured and unstructured data
- Develop skills in data storytelling and presentation
- Learn to work with various AI and machine learning frameworks, including TensorFlow, PyTorch, and Keras
- Develop skills in natural language processing, computer vision, and robotics
- Learn to work with various data visualization tools, including Tableau, Power BI, and D3.js
- Develop skills in data mining, predictive analytics, and prescriptive analytics
- Learn to work with various business intelligence tools, including Excel, SQL, and Tableau
- Develop skills in data governance, data quality, and data security
- Learn to work with various cloud-based platforms, including AWS, Azure, and Google Cloud
- Develop skills in DevOps, agile methodologies, and version control systems
- Learn to work with various programming languages, including Python, R, and SQL
- Develop skills in data engineering, data warehousing, and business intelligence
- Learn to work with various data sources, including structured and unstructured data
- Develop skills in data storytelling and presentation
- Learn to work with various AI and machine learning frameworks, including TensorFlow, PyTorch, and Keras
- Develop skills in natural language processing, computer vision, and robotics
- Learn to work with various data visualization tools, including Tableau, Power BI, and D3.js
- Develop skills in data mining, predictive analytics, and prescriptive analytics
- Learn to work with various business intelligence tools, including Excel, SQL, and Tableau
- Develop skills in data governance, data quality, and data security
- Learn to work with various cloud-based platforms, including AWS, Azure, and Google Cloud
- Develop skills in DevOps, agile methodologies, and version control systems
- Learn to work with various programming languages, including Python, R, and SQL
- Develop skills in data engineering, data warehousing, and business intelligence
- Learn to work with various data sources, including structured and unstructured data
- Develop skills in data storytelling and presentation
- Learn to work with various AI and machine learning frameworks, including TensorFlow, PyTorch, and Keras
- Develop skills in natural language processing, computer vision, and robotics
- Learn to work with various data visualization tools, including Tableau, Power BI, and D3.js
- Develop skills in data mining, predictive analytics, and prescriptive analytics
- Learn to work with various business intelligence tools, including Excel, SQL, and Tableau
- Develop skills in data governance, data quality, and data security
- Learn to work with various cloud-based platforms, including AWS, Azure, and Google Cloud
- Develop skills in DevOps, agile methodologies, and version control systems
- Learn to work with various programming languages, including Python, R, and SQL
- Develop skills in data engineering, data warehousing, and business intelligence
- Learn to work with various data sources, including structured and unstructured data
- Develop skills in data storytelling and presentation
- Learn to work with various AI and machine learning frameworks, including TensorFlow, PyTorch, and Keras
- Develop skills in natural language processing, computer vision, and robotics
- Learn to work with various data visualization tools, including Tableau, Power BI, and D3.js
- Develop skills in data mining, predictive analytics, and prescriptive analytics
- Learn to work with various business intelligence tools, including Excel, SQL, and Tableau
- Develop skills in data governance, data quality, and data security
- Learn to work with various cloud-based platforms, including AWS, Azure, and Google Cloud
- Develop skills in DevOps, agile methodologies, and version control systems
- Learn to work with various programming languages, including Python, R, and SQL
- Develop skills in data engineering, data warehousing, and business intelligence
- Learn to work with various data sources, including structured and unstructured data
- Develop skills in data storytelling and presentation
- Learn to work with various AI and machine learning frameworks, including TensorFlow, PyTorch, and Keras
- Develop skills in natural language processing, computer vision, and robotics
- Learn to work with various data visualization tools, including Tableau, Power BI, and D3.js
- Develop skills in data mining, predictive analytics, and prescriptive analytics
- Learn to work with various business intelligence tools, including Excel, SQL, and Tableau
- Develop skills in data governance, data quality, and data security
- Learn to work with various cloud-based platforms, including AWS, Azure, and Google Cloud
- Develop skills in DevOps, agile methodologies, and version control systems
- Learn to work with various programming languages, including Python, R, and SQL
- Develop skills in data engineering, data warehousing, and business intelligence
- Learn to work with various data sources, including structured and unstructured data
- Develop skills in data storytelling and presentation
- Learn to work with various AI and machine learning frameworks, including TensorFlow, PyTorch, and Keras
- Develop skills in natural language processing, computer vision, and robotics
- Learn to work with various data visualization tools, including Tableau, Power BI, and D3.js
- Develop skills in data mining, predictive analytics, and prescriptive analytics
- Learn to work with various business intelligence tools, including Excel, SQL, and Tableau
- Develop skills in data governance, data quality, and data security

Why this course?

Global Certificate in Data Science and Artificial Intelligence is a highly sought-after credential in today's market, particularly in the UK. According to a report by the UK's Office for National Statistics, the demand for data scientists is expected to increase by 45% by 2028, with the average salary ranging from £60,000 to £100,000 per annum.
Year Growth Rate Average Salary (£)
2020 20% £55,000
2021 30% £65,000
2022 40% £80,000
2023 45% £100,000

Who should enrol in Global Certificate in Data Science and Artificial Intelligence ?

Data Science and Artificial Intelligence Ideal Audience
Professionals and individuals interested in the field of Data Science and Artificial Intelligence Are you a UK resident looking to upskill or reskill in the data-driven industry? According to a report by the Royal Society of Arts, the UK's data science market is expected to grow by 15% annually, creating over 13,000 new job opportunities by 2025.
Students and academics seeking to enhance their knowledge in machine learning, deep learning, and data visualization With the increasing demand for data-driven insights, the UK's education sector is witnessing a surge in demand for courses that focus on Data Science and Artificial Intelligence. In fact, a survey by the Higher Education Statistics Agency revealed that 75% of UK universities offer courses in data science, with many more expected to follow suit in the coming years.
Business professionals seeking to leverage data analytics and AI to drive business growth and innovation As businesses continue to rely on data-driven decision-making, the demand for professionals with expertise in Data Science and Artificial Intelligence is on the rise. In the UK, companies such as IBM, Accenture, and Deloitte are already investing heavily in AI and data science talent, with many more expected to follow suit in the near future.