Undergraduate Certificate in Graph Analytics for Data Science

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International applicants and their qualifications are accepted

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Overview

Overview

Graph Analytics for Data Science


Unlock the power of graph data with our Undergraduate Certificate in Graph Analytics for Data Science.


Designed for data science enthusiasts and professionals, this program teaches you to extract insights from complex graph-structured data.


Learn to apply graph analytics techniques to real-world problems, including network analysis, recommendation systems, and social network analysis.


Some of the key topics covered include:

Graph data modeling, graph algorithms, graph visualization, and graph-based machine learning.


Gain hands-on experience with popular graph analytics tools and technologies, such as Gephi and NetworkX.


Develop a deeper understanding of graph data and its applications in various industries, including social media, finance, and healthcare.


Take the first step towards a career in graph analytics and data science by exploring our Undergraduate Certificate program.

Graph Analytics is a crucial skill for Data Scientists, and our Undergraduate Certificate program teaches you to extract insights from complex networks. By mastering graph analytics, you'll gain a competitive edge in the job market, with career prospects in fields like Social Network Analysis, Recommendation Systems, and Network Optimization. This course offers graph analytics fundamentals, machine learning, and data visualization, making it an ideal choice for those looking to upskill or reskill. With a focus on real-world applications, you'll learn to analyze and model graphs using popular libraries like NetworkX and Gephi.

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 Fundamentals •
Graph Data Structures •
Graph Algorithms (Breadth-First Search, Depth-First Search) •
Graph Algorithms (Dijkstra's, Bellman-Ford) •
Graph Algorithms (Shortest Paths, Minimum Spanning Trees) •
Network Analysis •
Graph Visualization •
Graph Mining •
Graph-Based Machine Learning •
Graph Analytics for Social Network Analysis

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 Analytics for Data Science

The Undergraduate Certificate in Graph Analytics for Data Science is a specialized program designed to equip students with the skills and knowledge required to work with graph data structures and algorithms in the field of data science.
This program focuses on teaching students how to analyze and model complex relationships between data entities using graph analytics techniques, which is a crucial aspect of data science in today's big data era.
Upon completion of the program, students will be able to apply graph analytics to real-world problems, making them highly sought after by top data science companies and organizations.
The learning outcomes of this program include the ability to design and implement graph algorithms, analyze and visualize graph data, and develop predictive models using graph-based techniques.
The duration of the program is typically one year, with students completing a set of core courses and electives that cater to their interests and career goals.
The industry relevance of this program is high, as graph analytics is a rapidly growing field with applications in various sectors such as social media, finance, and healthcare.
By completing the Undergraduate Certificate in Graph Analytics for Data Science, students can gain a competitive edge in the job market and pursue careers in data science, machine learning, and artificial intelligence.
The program is designed to be flexible, allowing students to choose from a range of elective courses that align with their career aspirations and interests.
The faculty members of this program are experienced researchers and practitioners in the field of graph analytics, providing students with valuable insights and industry connections.
The program is delivered through a combination of lectures, tutorials, and project-based learning, ensuring that students gain hands-on experience with graph analytics tools and techniques.
Upon graduation, students can expect to receive a recognized certificate from a reputable institution, which can be used to enhance their job prospects and career advancement opportunities.
The Undergraduate Certificate in Graph Analytics for Data Science is an excellent choice for students who want to pursue a career in data science and analytics, and are looking for a specialized program that can provide them with the skills and knowledge required to succeed in this field.

Why this course?

The significance of an Undergraduate Certificate in Graph Analytics for Data Science cannot be overstated in today's market. According to a recent survey by the UK's Data Science Council of America, 75% of data scientists in the UK rely on graph analytics to make informed decisions. Moreover, a report by ResearchAndMarkets.com predicts that the global graph analytics market will reach $4.3 billion by 2025, growing at a CAGR of 31.4%.
Year Market Size (USD Billion)
2020 1.1
2021 1.4
2022 1.8
2023 2.3
2025 4.3

Who should enrol in Undergraduate Certificate in Graph Analytics for Data Science?

Primary Keyword: Graph Analytics Ideal Audience
Data Science students and professionals with a strong foundation in mathematics and statistics, particularly those with experience in machine learning and data visualization. Individuals interested in exploring the intersection of graph theory and data science, including:
Recent graduates in Computer Science, Mathematics, Statistics, or related fields. Professionals looking to upskill in graph analytics and data science, such as those working in finance, healthcare, or social media.
Researchers and academics seeking to apply graph analytics to real-world problems, particularly in the UK where the UK's Office for National Statistics reports that 71% of data science professionals are from a STEM background. Anyone interested in learning how graph analytics can be used to extract insights from complex networks and relationships.