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Certified Big Data Science Analyst (CBDSA) Course

Funding-GICT-Training

Certification in
AI/ML, Big Data, Cloud Computing & IoT

Up to 90% funding for SMEs and professionals (conditions apply)
Special course fee for Tertiary Student/NSF

Register Now More Info
SkillsFuture Course in Singapore

Up to 90% funding for
SMEs and professionals (conditions apply)
Special course fee for Tertiary Student/NSF

Certification in
AI/ML, Big Data, Cloud Computing & IoT

Register Now

Big Data Course (Apache Hadoop)

Our big data course will equip participants with the technical skills on how to transform big data into business insights and solutions. It covers the concept of big data technologies supported with hands-on using Apache Hadoop, Apache Hive and Apache HBase.

It also covers the different types of business analytics with real life use cases including association rule mining and regression models. Through this big data training, you will get a good picture of all these concepts and how they all are interconnected to each other. Upon successful completion of the program, participants will receive a big data certification awarded by GICT Training.

Big Data Course, Big Data Science Analyst Training

Who should attend?

This course is intended for anyone who wish to acquire technical skills in big data technologies. If you do have some knowledge/understanding of UNIX commands, it will be advantageous.

Majority of big data experts agree that the amount of generated data will be growing exponentially in the near future.

Course Outline
  • Unit 1: Introduction to Business Analytics
  • Unit 2: Data/Information Architecture for Business Analytics
  • Unit 3: Data Mining Tool
  • Unit 4: Data Mining Techniques
  • Unit 5: Introduction to Big Data
  • Unit 6: Introduction to Hadoop
  • Unit 7: Hadoop HDFS & MapReduce
  • Unit 8: Apache HBase
  • Unit 9: Apache Hive

Tools/Software used: Hadoop, HBase, Hive, RapidMiner

Course Outcome
  • Acquire knowledge of complete Big Data Technologies stack from Data Storage, Data Processing, Data Visualisation to Data Analytics
  • Learn necessary skills to manage and analyse big data
  • Implement key predictive modelling Algorithms on RapidMiner Tool
  • Perform Exploratory data analysis and data pre-processing techniques
  • Identify the right tool for solving real life big data problems
  • Gain hands on experience in using Big Data Technologies Like Hadoop, Map Reduce, HBase and Hive
Duration
  • 40 Hours (5 Days) Classroom Training
Pre-Requisites
  • Participants are recommended to have some knowledge/understanding of UNIX commands.
Funding
  • CITREP+
  • SkillsFuture
  • NTUC Training Fund (SEPs)
  • IBF FTS Funding Support

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