Advanced Certificate in Graph Data Science: Connected Data
-- ViewingNowThe 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.
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โข Graph Data Modeling: Understand the process of modeling real-world scenarios using graph data models and learn about the different types of graph databases.
โข 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.
โข 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.
โข 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.
โข 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.
โข Graph-Powered Recommendation Engines: Study the principles of recommendation systems and learn how to build a recommendation engine using graph-based techniques.
โข 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.
โข 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.
โข 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.
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