Overview Course

This specialized course focuses on MongoDB to implement different ways to store and handle data that can be modeled as a document format. This database is employed to handle documents in a free schema design that provides great flexibility to store and use data. This course covers the concept of big data, role of big data analytics in business, data/information architecture, data warehousing, business intelligence, NoSQL approach, data mining techniques and NoSQL & analytical tools and deals with the basic principles of MongoDB, key features, operations, data model and MongoDB architecture. Participants will be explored from installation and configuration of MongoDB to working on Mongo shell. Participants will learn data types in MongoDB, its schema design, create-read-update-delete operations, other MongoDB operators and index. In addition, participants will also learn about different data mining techniques through an open source analytical tool RapidMiner.

Learning Outcome

The main objective of this 5-day CNA course is to gain a practical understanding of the following:
  • Collect and validate data
  • Analyse data and generate reports
  • Develop statistical model and apply data science
  • Big data analytics knowledge

Who should Attend?

  • Data Analyst – Statistics and Mining
  • Big Data Analyst
  • Operations Research Analyst
  • Senior Data Analyst- Statistics and Mining
  • Data Scientist

Eligibility Criteria

  • Participants are preferred to have min. 2 years of experience in software development with any RDBMS/SQL database environment.
This course is endorsed under Critical Infocomm Technology Resource Programme Plus (CITREP+) Programme.
To find out more about CITREP+ Funding, please refer to Programme Support under CITREP+ page


Information as accurate as of 12 September 2019