Advanced Skill Certificate in Network Analysis in Data Science

Wednesday, 11 February 2026 00:22:35

International applicants and their qualifications are accepted

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Overview

Overview

Network Analysis in Data Science

is a crucial skill for data scientists to extract insights from complex networks. Network analysis helps identify patterns, relationships, and trends within these networks, enabling data-driven decision-making.

With this Advanced Skill Certificate, you'll learn to apply network analysis techniques to real-world problems, including social network analysis, web graph analysis, and more.

Targeted at data professionals looking to expand their skill set, this course covers essential concepts, tools, and methods for network analysis, including graph theory, centrality measures, and community detection.

Gain hands-on experience with popular network analysis tools like Gephi, NetworkX, and Matplotlib, and develop a deeper understanding of network visualization and interpretation.

Take the first step towards unlocking the power of network analysis in data science. Enroll in our Advanced Skill Certificate program today and start extracting valuable insights from complex networks!

Network Analysis is a crucial skill in Data Science, enabling professionals to extract insights from complex data sets. This Advanced Skill Certificate program teaches you to apply network analysis techniques to uncover hidden patterns and relationships. With Network Analysis, you'll gain expertise in data visualization, node centrality, and community detection, leading to improved decision-making and career prospects. You'll also learn to work with popular tools like Gephi and NetworkX, making you a sought-after candidate in the industry. Upon completion, you'll be equipped to tackle real-world problems and drive business growth with Network Analysis in data-driven organizations.

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


Network Fundamentals •
Data Mining and Network Analysis •
Graph Theory and Algorithms •
Network Visualization and Communication •
Network Optimization Techniques •
Machine Learning for Network Analysis •
Big Data Analytics in Network Science •
Network Security and Threat Analysis •
Social Network Analysis and Modeling •
Network Dynamics and Simulation

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

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 Advanced Skill Certificate in Network Analysis in Data Science

The Advanced Skill Certificate in Network Analysis in Data Science is a comprehensive program designed to equip learners with the skills required to analyze complex networks and make informed decisions in the field of data science.
This certificate program focuses on teaching learners how to extract insights from network data, identify patterns, and develop predictive models to drive business growth and success.
Upon completion of the program, learners will have gained the knowledge and skills necessary to apply network analysis techniques to real-world problems, including social network analysis, transportation network analysis, and communication network analysis.
The program covers a range of topics, including network visualization, network optimization, and network simulation, as well as machine learning algorithms for network analysis and data mining.
The duration of the program is typically 6-12 months, depending on the learner's prior experience and the level of commitment required.
The industry relevance of this certificate is high, with applications in a wide range of fields, including finance, healthcare, marketing, and transportation.
Learners who complete the Advanced Skill Certificate in Network Analysis in Data Science will be able to apply their knowledge and skills to drive business growth, improve operational efficiency, and make data-driven decisions.
The program is designed to be flexible, with online and part-time options available to accommodate learners' busy schedules.
Upon completion of the program, learners will receive a recognized Advanced Skill Certificate in Network Analysis in Data Science, which can be added to their resume or LinkedIn profile to enhance their career prospects.
The program is taught by experienced instructors with expertise in network analysis and data science, ensuring that learners receive high-quality instruction and support throughout the program.
The cost of the program varies depending on the institution and location, but learners can expect to pay a premium for a comprehensive program that covers a wide range of topics in network analysis and data science.
Overall, the Advanced Skill Certificate in Network Analysis in Data Science is a valuable investment for anyone looking to advance their career in data science or network analysis, and can provide a significant return on investment in terms of career advancement and salary increase.

Why this course?

Advanced Skill Certificate in Network Analysis is a highly sought-after credential in today's data science market, particularly in the UK. According to a report by the Royal Statistical Society, the demand for data scientists with network analysis skills is expected to increase by 14% by 2025, with the average salary ranging from £60,000 to £100,000 per annum.
Year Growth Rate
2020 8%
2021 12%
2022 16%

Who should enrol in Advanced Skill Certificate in Network Analysis in Data Science ?

Network Analysis in Data Science Ideal Audience
Data scientists and analysts Individuals with a strong foundation in statistics, mathematics, and computer science, particularly those working in the UK's data-intensive industries such as finance, healthcare, and government, are well-suited for this course. According to a report by the UK's Office for National Statistics, the number of data scientists in the UK is expected to grow by 14% between 2020 and 2030, making this a highly sought-after skill.
Business intelligence professionals Those working in business intelligence and analytics roles, who want to enhance their skills in network analysis and data visualization, will benefit from this course. In the UK, the average salary for a business intelligence analyst is around £55,000 per year, and those with advanced skills in network analysis can expect to earn up to £80,000 or more.
IT professionals IT professionals, particularly those working in network administration and cybersecurity, can benefit from this course by gaining a deeper understanding of network analysis and its applications in data science. In the UK, the demand for IT professionals with network analysis skills is high, with the average salary ranging from £40,000 to £70,000 per year.