Certified Specialist Programme in Social Network Analysis with R

Saturday, 14 February 2026 03:15:12

International applicants and their qualifications are accepted

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Overview

Overview

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Certified Specialist Programme in Social Network Analysis with R equips you with the skills to analyze complex social structures using R.


This programme covers network visualization, centrality measures, and community detection.


Learn to apply social network analysis techniques to diverse fields, from marketing to public health.


Designed for data scientists, researchers, and analysts, this intensive course provides hands-on experience with R packages.


Master social network analysis with R. Gain valuable certification demonstrating expertise in this growing field.


Explore the programme today and unlock the power of social network analysis!

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Social Network Analysis with R: Become a certified specialist in this burgeoning field! This intensive programme equips you with practical skills in analyzing complex social structures using the powerful R programming language. Master key techniques like centrality measures, community detection, and network visualization. Data mining and predictive modelling are explored, enhancing your capabilities. Boost your career prospects in data science, market research, or social sciences. Gain a competitive edge with our hands-on projects and expert instructors. Our unique curriculum combines theoretical knowledge with real-world applications, ensuring you're job-ready upon completion. Enroll now and unlock your potential in Social Network Analysis.

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

• Introduction to Social Network Analysis (SNA) and its applications
• R programming for SNA: Data manipulation and visualization
• Network metrics and their interpretation: Centrality, density, clustering
• Social network visualization with R packages (igraph, networkD3)
• Exploratory data analysis of social networks using R
• Community detection algorithms in SNA using R
• Advanced SNA techniques: Blockmodeling, structural equivalence
• Social Network Analysis case studies and applications with R
• Statistical inference for social network data using R

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

Career Role (Primary Keyword: Social Network Analyst; Secondary Keyword: R Programming) Description
Social Media Strategist (R) Develops and implements social media strategies leveraging social network analysis with R for enhanced audience engagement and brand growth.
Data Scientist (Social Network Analysis) Applies advanced analytical techniques using R and social network analysis to uncover hidden patterns and insights from complex datasets.
Market Research Analyst (R, SNA) Conducts market research utilizing social network analysis in R to understand customer behavior, preferences, and competitive landscapes.
Network Security Analyst (R) Identifies security vulnerabilities and threats within complex networks using R and social network analysis techniques.

Key facts about Certified Specialist Programme in Social Network Analysis with R

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The Certified Specialist Programme in Social Network Analysis with R equips participants with the skills to analyze complex social structures using cutting-edge statistical software. This intensive program focuses on practical application, ensuring graduates are immediately employable in various fields.


Learning outcomes include mastering fundamental concepts of social network analysis (SNA), proficiency in using R for SNA, and the ability to interpret and present complex network data. Participants will gain experience with various SNA metrics and techniques, including centrality measures, community detection, and network visualization.


The programme's duration is typically [Insert Duration Here], allowing for a comprehensive learning experience without being overly extensive. This efficient structure balances depth of knowledge with the demands of a busy professional schedule. Flexibility in learning methods may be offered.


Social Network Analysis is increasingly relevant across numerous industries. From marketing and public relations to cybersecurity and public health, understanding social networks is crucial for strategic decision-making. This Certified Specialist Programme in Social Network Analysis with R directly addresses this growing need, offering graduates highly sought-after skills in data analysis, network visualization, and R programming.


Graduates are well-positioned for careers in data science, market research, network security, and related fields, utilizing their expertise in SNA and R programming. The certification provides a valuable credential, demonstrating advanced skills in a rapidly evolving area of data analytics.

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Why this course?

The Certified Specialist Programme in Social Network Analysis with R is increasingly significant in today’s UK market. The burgeoning demand for data analysts proficient in social network analysis (SNA) is evident. According to a recent survey (hypothetical data for illustration), 70% of UK businesses now utilize SNA for marketing and customer relationship management, representing a 25% increase year-on-year.

Year Businesses Using SNA (%)
2022 56
2023 70

This growth highlights the crucial role of SNA expertise in diverse sectors, from market research to cybersecurity. Mastering R, a leading statistical computing language, further enhances a candidate’s marketability. The Certified Specialist Programme bridges this gap, providing in-demand skills and boosting career prospects within this rapidly expanding field.

Who should enrol in Certified Specialist Programme in Social Network Analysis with R?

Ideal Audience for the Certified Specialist Programme in Social Network Analysis with R
This Certified Specialist Programme in Social Network Analysis with R is perfect for you if you're a data analyst, researcher, or social scientist working with complex relational data. Are you keen to master R programming and apply cutting-edge social network analysis (SNA) techniques? Perhaps you are already familiar with data analysis but want to specialize in uncovering hidden patterns in social connections. With over 4.5 million people employed in the UK's digital sector (source needed for real statistic), many roles require such highly sought-after skills. Whether you're aiming for career advancement, or seeking to enhance your research methodologies, this program offers the practical tools and statistical modelling expertise to excel. Expect to learn advanced network visualization and interpretation techniques, invaluable for navigating the complexities of social data.