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HRD Corp Approved Training Provider Malaysia - Industrial 4.0 Certification Training and Education

Neo4j Certified Professional Exam Prep

Dive into the world of Neo4j and get a comprehensive understanding of its fundamentals. From basic graph theory and graph structures to Cypher fundamentals, our course covers every essential aspect. Learn how Neo4j implements index-free-adjacency and understand the intricacies of reading and writing data to Neo4j. Embrace the power of graph data modeling, understanding nodes, relationships, and the significance of graph data models.

Expand your knowledge with intermediate topics like Neo4j Database Administration and data importing techniques. Grasp the nuances of Neo4j Graph Data Science, discover the synergy between Neo4j and Python, and prepare effectively for the Neo4j Certified Professional Exam. Enrich your skillset and become a proficient user of Neo4j with Tertiary Courses.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Disclaimer

Note that we are not affiliated with Neo4j. To get the official certification, please register your certification exam at Neo4j Official Certification Site below.

Certification Exam

Once you are prepared for the exam, you can register for the certification here. We are Authorised Pearson Vue Testing Center. You can take the certification exam at our test center. Note that the course fee does not include the certification exam fee.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M643

Course Booking

MYR2,000.00

Course Date

Course Time

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Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.


Course Details

Topic 1 Neo4j Fundamentals

  • Basic graph theory and the elements that make a graph
  • Graph structures
  • Common graph database use cases
  • Elements of a Neo4j graph database
  • How Neo4j implements index-free-adjacency
  • The Movie graph’s data model and data

Topic 2 Cypher Fundamentals

  • Reading Data from Neo4j
  • Introduction to Cypher
  • Retrieving Nodes
  • Finding Relationships
  • Traversing Relationships
  • Filtering Queries
  • Writing Data to Neo4j
  • Creating Nodes
  • Creating a Node
  • Creating Relationships
  • Updating Properties
  • Adding Properties to a Movie
  • Merge Processing
  • Deleting Data

Topic 3 Importing CSV Data into Neo4j

  • Preparing for importing data
  • Using the Neo4j Data Importer
  • Post-processing for imported data
  • Using Cypher to import data

Topic 4 Graph Data Modeling Fundamentals

  • What is a graph data model?
  • Modeling nodes and creating nodes for an instance model.
  • Modeling relationships and creating relationships for an instance model.
  • Testing the graph data model.
  • Why refactor a graph data model and how labels help.
  • Eliminating duplicate data in the graph.
  • Using specific relationship types.
  • Adding intermediate nodes.

Topic 5 Intermediate Cypher Queries

  • Filtering queries
  • Controlling results returned
  • Working with Cypher data
  • Graph traversal
  • Pipelining queries
  • Subqueries
  • Using parameters

Topic 6 Neo4j Graph Data Science

  • Basics for how Neo4j GDS works to enable analytics
  • How to install GDS and the different licensing options
  • Graph projection patterns

Topic 7 Neo4j Applications with Python

  • The lifecycle of the Neo4j Driver and how it relates to your application
  • How to install and instantiate the Neo4j Python Driver to your Python project
  • How read and write transactions work with Neo4j
  • Best practices on how to use Neo4j within your Python project.

Course Info

Prerequisite:

Basic Python knowledge is assumed

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

1-     HRD Corp Grant Helper

How to submit grant applications for HRD Corp Claimable Courses

2-     Employers are required to apply for the grant at least one week before training commences.

Employers must submit their applications with supporting documents, including invoices/quotations, trainer profiles, training schedule and course content.

3-     First, Login to Employer’s e-TRIS account -https://etris.hrdcorp.gov.my

Second, Click Application

4-     Click Grant on the left side under Applications

5-     Click Apply Grant on the left side under Applications

6-     Click Apply

7-     Choose a Scheme Code and select HRD Corp Claimable Courses: Skim Bantuan Latihan Khas. Then, click Apply

8-     Scheme Code represents all types of training that suit the requirements provided by HRD Corp. Below are the list of schemes offered by HRD Corp:

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11-  Please select a training programme from the list, then key in all the required details and click Next

Select your desired training programme.

Give an explanation on why the participant is required to attend the training. E.g., related to their tasks/ career development, etc.

Explain the background and objective of this training.

Select a relevant focus area. For Employer-Specific Courses, select ‘Not Applicable’.

12-  If the training programme is a micro-credential programme, you are required to complete these 3 fields. Save and click Next

Insert MiCAS Application number

13-  Based on the nine (9) pillars listed below, HRD Corp Focus Area Courses are closely tied to support government initiatives towards nation building. As such, courses offered through the HRD Corp Focus Areas are designed to provide the workforce with skills required for current and future demands. Details of the focus areas are as follows:

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19-  Click Add Batch, then click Save

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25-  Estimated cost includes the course fees/external trainer fees, allowances, and consumable training materials. Please comply with the HRD Corp Allowable Cost Matrix.

26-  Select Upfront Payment to Training Provider and key in the percentage from 0% to 30%. Then, click Save and Next

27-  Complete the declaration form and select a desired officer

28-  Add all the required documents, then click Add Attachment. Then, click Save and Submit Application

29-  Once the New Grant Application is successfully submitted, the Grant Officer will evaluate the application accordingly. The application may be queried if additional information is required.

The application status will be updated via the employer’s dashboard, email, and the e-TRiS inbox.

Job Roles

  • Database Administrator (specializing in graph databases)
  • Data Scientist (working with graph data)
  • Neo4j Developer
  • Graph Database Consultant
  • Data Engineer (focusing on graph technologies)
  • Data Architect (implementing graph solutions)
  • Backend Developer (integrating graph databases)
  • Graph Data Analyst
  • Machine Learning Engineer (using graph-based algorithms)
  • Data Integration Specialist (for graph databases)
  • Recommendation System Developer
  • Research Scientist (working on graph theory)
  • Social Network Analyst
  • Fraud Detection Specialist (using graph patterns)
  • Bioinformatics Researcher (using graph databases).

Trainers

Dr. Aanand: Dr. Aanand is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learnng (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post graduate in Physics from University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.

Amir Othman: Amir Othman is a software engineer by profession. Being educated in Bauhaus Universität Weimar and Hochschule Ulm, he brings experiences from different facades of the world.

With expertise in web technology, natural language processing and machine learning, he is a freelance data scientist. Some of his works include two international news aggregator

www.kronologimalaysia.com and www.diezeitachse.de

He also holds an impressive port folio for data visualizations, primarily focusing on web based techniques.

After the realization set in that, I do not want to make it as an electronic engineer, I took the decision to go and try something new out of pure curiosity and thirst for new adventure. It didn't come quite handy but I have changed my major three times. It's not a surprise that I studied artificial intelligence and found myself all over again. I have a strong passion for machine learning and data science, fueled by the drive to learn and the endurance for growth beyond the ordinary.

Syed Muhammad Farrukh Akhtar: Syed Muhammad Farrukh Akhtar has more than 15 years of experience analysis, designing, developing, integrating and managing large applications for diverse industries. He has experience working in Dubai, Pakistan, Germany and Malaysia, strong hands-on experience of software design, development and integration on different platform like IBM J2EE, Oracle and Microsoft .Net, Big data, Hadoop, Spark, HBase, Hive, Sqoop, Flume and NoSQL. He also has expertise in Machine Learning/ Deep Learning with Tensor Flow, Keras and Python, excellent skills in React, Ionic 2, Angular 2, Mobile Apps with React Native and Node.js.

He is highly knowledgeable in object oriented software development, requirements analysis, and database design. Possess deep understanding of Open Source technologies’ applicability in emerging business areas. He possesses excellent knowledge in Rational Unified Process (RUP); Rational Software Architect; data modeling and mapping; and extensible system design using the UML and Visio. Professional experience on J2EE, JMS, Web Sphere, Oracle, Spring, Hibernate, Struts and 3-Tier Web-based Applications Development.

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