Neo4j Course Overview

Neo4j Course Overview

The Neo4j certification is a credential awarded by Neo4j, the leading graph database platform, confirming an individual's skills and proficiency in utilizing this technology. Interested in complex data relationships, this certification demonstrates an understanding of Neo4j's fundamentals, such as graph data models, Cypher query language, and data importing techniques. Industries leverage this certification to ensure their employees possess the knowledge to effectively manage, navigate, and interpret graph databases - a crucial aspect in today's data-driven world. By using Neo4j-certified professionals, companies can exploit the full potential of their data, discovering insights that would remain hidden in traditional relational databases.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 24 Hours)
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Classroom Training price is on request

  • Live Online Training (Duration : 24 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites


Prerequisites for Neo4j Training are:
1. Familiarity with basic SQL and NoSQL concepts
2. Understanding of relational database principles is helpful
3. Working knowledge of Java or another programming language
4. Aptitude for problem solving and structured thinking
5. Basic understanding of data modelling principles
6. Willingness to learn and explore a new technology

Target Audience for Neo4j Certification Training

- Database administrators
- Software developers
- Data scientists
- IT professionals interested in graph databases
- Business analysts needing to understand complex relationships
- Software engineers working on recommendation systems
- Professionals working on fraud detection systems
- Machine learning engineers
- Anyone working with large and complex data sets

Why Choose Koenig for Neo4j Certification Training?

- Access to certified instructors for high-quality, reliable Neo4j training.
- Opportunity to boost your career with valuable skills in Neo4j.
- Customized training programs suiting diverse learning requirements.
- Destination training opportunity adding to your learning experience.
- Affordable pricing helping you to get trained without financial constraints.
- Ranked as a top training institute ensuring best in class training.
- Flexible dates allowing you to select your convenient time slot.
- Instructor-led online training ensuring an interactive, engaging learning experience.
- Wide range of courses to expand your learning horizons beyond Neo4j.
- Accredited training validating your skill acquisition with recognized certificates.

Neo4j Skills Measured

After completing Neo4j certification training, an individual can gain skills in managing and developing graph databases using Neo4j. They will be proficient in Neo4j development architecture, graph data modeling, Cypher query language, data ingestion techniques, and performance tuning in Neo4j. Furthermore, they will be equipped to handle real-world graph-based projects, making them invaluable to companies seeking to leverage the power of graph databases for business insights and decision-making.

Top Companies Hiring Neo4j Certified Professionals

Companies such as IBM, Ernst & Young, Deloitte, PWC, Accenture, Capgemini, Infosys, Cognizant are actively hiring Neo4j certified professionals. These companies recognize the value of a graph database platform in delivering critical insights, ensuring data privacy, and driving innovative solutions.

Learning Objectives - What you will Learn in this Neo4j Course?

The learning objectives of a Neo4j course are primarily to enable the student to understand the concepts of graph databases and their importance in modern data architecture. The course aims to familiarize learners with the use and management of Neo4j, the leading graph database software. The students will acquire skills in creating, querying, and updating data using Cypher Query Language and will learn to interpret and visualize query results. This course also targets empowering students to solve complex business problems by modeling data as a graph and using graph algorithms for data analytics.