Advanced Certificate in Graph Data Science: Connected Data

-- ViewingNow

The Advanced Certificate in Graph Data Science: Connected Data is a comprehensive course that addresses the growing industry demand for expertise in graph-based data analysis. This certificate program equips learners with essential skills to tackle complex data science challenges using graph-based methodologies, making them highly valuable in today's interconnected data-driven world.

4.5
Based on 7,226 reviews

6,768+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

이 과정에 대해

The curriculum covers a wide range of topics, including graph theory, network analysis, graph algorithms, and graph-powered machine learning, using popular tools like Neo4j and NetworkX. By completing this course, learners will be able to leverage the power of connected data to uncover hidden patterns, relationships, and insights, thereby driving better business decisions and outcomes. In addition to gaining hands-on experience with cutting-edge graph data science techniques, learners will also develop critical thinking, problem-solving, and communication skills, making them well-prepared for career advancement in various fields such as finance, healthcare, social media, and cybersecurity.

100% 온라인

어디서든 학습

공유 가능한 인증서

LinkedIn 프로필에 추가

완료까지 2개월

주 2-3시간

언제든 시작

대기 기간 없음

과정 세부사항

• Graph Data Modeling: Understand the process of modeling real-world scenarios using graph data models and learn about the different types of graph databases.
• Graph Query Languages: Learn the fundamentals of graph query languages such as Cypher, Gremlin, and SPARQL, and how to use them to extract insights from graph data.
• Graph Algorithms: Study the most common graph algorithms used in data science such as PageRank, Shortest Path, and Community Detection, and learn how to implement them using popular graph frameworks like NetworkX and Neo4j.
• Machine Learning on Graphs: Understand the unique challenges of applying machine learning algorithms on graph data, and learn how to build predictive models using graph-based features.
• Graph Analytics for Fraud Detection: Learn how to use graph analytics to detect fraud and other anomalous behavior in complex networks, and how to implement graph-based fraud detection systems in practice.
• Graph-Powered Recommendation Engines: Study the principles of recommendation systems and learn how to build a recommendation engine using graph-based techniques.
• Natural Language Processing on Graphs: Understand how graph-based techniques can be applied to natural language processing tasks such as entity recognition, sentiment analysis, and text classification.
• Scalable Graph Data Processing: Learn the principles of scalable graph data processing and how to use distributed graph processing frameworks like Apache Giraph and GraphX to process large-scale graph data.
• Graph Visualization and Exploration: Study the fundamentals of graph visualization and exploration, and learn how to use popular graph visualization tools like Gephi and Neo4j Bloom to gain insights from graph data.

경력 경로

The Advanced Certificate in Graph Data Science is designed to equip professionals with the skills needed to succeed in today's interconnected data landscape. This section features a 3D pie chart that highlights the demand for various roles in the UK, providing valuable insights for those interested in pursuing a career in this field. The chart is responsive, with a width of 100%, and is powered by Google Charts. The primary roles included in the chart are: 1. **Graph Data Scientist**: With a 45% share of the market, Graph Data Scientists play a critical role in managing and analyzing complex, interconnected data sets. 2. **Data Engineer**: Representing 25% of the demand, Data Engineers focus on the development and maintenance of data systems and infrastructure. 3. **Data Analyst**: Data Analysts, holding 16% of the market, are responsible for interpreting data, analyzing results, and providing ongoing reports. 4. **Business Intelligence Analyst**: With 14% of the demand, Business Intelligence Analysts gather and analyze data to help companies make informed business decisions. These statistics provide a comprehensive view of the job market trends for professionals with an Advanced Certificate in Graph Data Science in the UK. With a focus on connected data, these roles are essential for leveraging the power of data to drive innovation and success in various industries.

입학 요건

  • 주제에 대한 기본 이해
  • 영어 언어 능숙도
  • 컴퓨터 및 인터넷 접근
  • 기본 컴퓨터 기술
  • 과정 완료에 대한 헌신

사전 공식 자격이 필요하지 않습니다. 접근성을 위해 설계된 과정.

과정 상태

이 과정은 경력 개발을 위한 실용적인 지식과 기술을 제공합니다. 그것은:

  • 인정받은 기관에 의해 인증되지 않음
  • 권한이 있는 기관에 의해 규제되지 않음
  • 공식 자격에 보완적

과정을 성공적으로 완료하면 수료 인증서를 받게 됩니다.

왜 사람들이 경력을 위해 우리를 선택하는가

리뷰 로딩 중...

자주 묻는 질문

이 과정을 다른 과정과 구별하는 것은 무엇인가요?

▼

과정을 완료하는 데 얼마나 걸리나요?

▼

WhatSupportWillIReceive

▼

IsCertificateRecognized

▼

WhatCareerOpportunities

▼

언제 코스를 시작할 수 있나요?

▼

코스 형식과 학습 접근 방식은 무엇인가요?

▼

코스 수강료

가장 인기
뚠뼸 경로: GBP £140
1개월 내 완료
가속 학습 경로
  • 죟 3-4시간
  • 쥰기 인증서 배송
  • 개방형 등록 - 언제든지 시작
Start Now
표준 모드: GBP £90
2개월 내 완료
유연한 학습 속도
  • 죟 2-3시간
  • 정기 인증서 배송
  • 개방형 등록 - 언제든지 시작
Start Now
두 계획 모두에 포함된 내용:
  • 전체 코스 접근
  • 디지털 인증서
  • 코스 자료
올인클루시브 가격 • 숨겨진 수수료나 추가 비용 없음

과정 정보 받기

상세한 코스 정보를 보내드리겠습니다

회사로 지불

이 과정의 비용을 지불하기 위해 회사를 위한 청구서를 요청하세요.

청구서로 결제

경력 인증서 획득

샘플 인증서 배경
ADVANCED CERTIFICATE IN GRAPH DATA SCIENCE: CONNECTED DATA
에게 수여됨
학습자 이름
에서 프로그램을 완료한 사람
London School of International Business (LSIB)
수여일
05 May 2025
블록체인 ID: s-1-a-2-m-3-p-4-l-5-e
이 자격증을 LinkedIn 프로필, 이력서 또는 CV에 추가하세요. 소셜 미디어와 성과 평가에서 공유하세요.
SSB Logo

4.8
새 등록
→ 과정 보기