Undergraduate Certificate in Graph Databases and Machine Learning

Wednesday, 10 September 2025 20:36:25

International applicants and their qualifications are accepted

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Overview

Overview

Graph Databases and Machine Learning


Unlock the power of complex data with our Undergraduate Certificate in Graph Databases and Machine Learning.


Designed for data enthusiasts and professionals, this program teaches you to extract insights from large-scale data using graph databases and machine learning algorithms.


Some of the key topics covered include: graph database fundamentals, data modeling, and query languages, as well as machine learning concepts such as supervised and unsupervised learning, neural networks, and deep learning.


Gain hands-on experience with popular tools like Neo4j, Apache Spark, and TensorFlow, and develop skills to drive business decisions with data-driven insights.


Take the first step towards a career in data science and analytics by exploring our Undergraduate Certificate in Graph Databases and Machine Learning.

Graph databases and machine learning are revolutionizing the way we approach complex data analysis. Our Undergraduate Certificate in Graph Databases and Machine Learning equips you with the skills to harness the power of graph databases and machine learning algorithms to extract insights from large datasets. With this course, you'll gain a deep understanding of graph databases, data modeling, and query languages, as well as machine learning fundamentals, including supervised and unsupervised learning. You'll also explore applications in areas like recommendation systems, natural language processing, and computer vision. Upon completion, you'll be well-prepared for a career in data science, artificial intelligence, or related fields.

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

•
Graph Database Fundamentals •
Graph Database Design •
Graph Database Querying •
Graph Database Indexing •
Machine Learning Fundamentals •
Supervised Learning •
Unsupervised Learning •
Deep Learning •
Neural Networks •
Graph Neural Networks

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 Undergraduate Certificate in Graph Databases and Machine Learning

The Undergraduate Certificate in Graph Databases and Machine Learning is a specialized program designed to equip students with the knowledge and skills required to work with graph databases and machine learning algorithms in various industries.
This program focuses on teaching students how to design, implement, and deploy graph databases, as well as how to apply machine learning techniques to real-world problems. Students will learn about graph data models, graph algorithms, and graph databases such as Neo4j and Amazon Neptune.
The learning outcomes of this program include the ability to analyze complex data, identify patterns, and make predictions using machine learning algorithms. Students will also learn how to design and implement graph databases to store and query large amounts of data.
The duration of the program is typically one year, with students completing a set of core courses and electives in graph databases and machine learning. The program is designed to be flexible, allowing students to choose from a range of elective courses that align with their interests and career goals.
The industry relevance of this program is high, with many companies using graph databases and machine learning algorithms to drive business decisions. Students who complete this program will be well-prepared to work in industries such as finance, healthcare, and social media, where graph databases and machine learning are increasingly being used.
Graduates of this program will have a strong foundation in both graph databases and machine learning, and will be able to apply their knowledge to a wide range of problems and applications. They will also have the opportunity to network with other students and professionals in the field, and to gain practical experience through internships and projects.
Overall, the Undergraduate Certificate in Graph Databases and Machine Learning is a valuable program that provides students with the skills and knowledge required to succeed in a rapidly evolving field.

Why this course?

Graph Databases and Machine Learning have become essential tools in today's market, with the UK being no exception. According to Google Charts, the demand for professionals with expertise in these areas is on the rise.
Year Number of Jobs
2020 12,400
2021 15,100
2022 18,500

Who should enrol in Undergraduate Certificate in Graph Databases and Machine Learning?

Primary Keyword: Graph Databases Ideal Audience
Individuals with a strong foundation in computer science, mathematics, and statistics, particularly those studying or working in the UK's thriving tech industry, are well-suited for this course. Key characteristics include:
- Familiarity with programming languages such as Python, Java, or C++ - Understanding of data structures and algorithms
- Interest in data science, artificial intelligence, and business intelligence - Willingness to learn and adapt to new technologies and concepts
In the UK, the demand for professionals with expertise in graph databases and machine learning is on the rise, with the National Cyber Security Centre predicting a shortage of skilled workers in the field by 2025. By pursuing this Undergraduate Certificate, individuals can gain the necessary skills to stay ahead in their careers and contribute to the growth of the UK's tech sector.